Social network analysis (SNA) is an increasingly popular approach that provides researchers with highly developed tools to map and analyze complexes of social relations. Although a number of network scholars have explicated the assumptions that underpin SNA, the approach has yet to be discussed in relation to established philosophies of science. This article argues that there is a tension between applied and methods-oriented SNA studies, on the one hand, and those addressing the social-theoretical nature and implications of (...) networks, on the other. The former, in many cases, exhibits positivist tendencies, whereas the latter incorporate a number of assumptions that are directly compatible with core critical realist views on the nature of social reality and knowledge. This article suggests that SNA may be detached from positivist social science and come to constitute a valuable instrument in the critical realist toolbox. (shrink)

Natural languages vary widely in the degree to which they make use of nested compositional structure in their grammars. It has long been noted by linguists that the languages historically spoken in small communities develop much deeper levels of compositional embedding than those spoken by larger groups. Recently, this observation has been confirmed by a robust statistical analysis of the World Atlas of Language Structures. In order to examine this connection mechanistically, we propose an agent‐based model that accounts for key (...) cultural evolutionary features of language transfer and language change. We identify transitivity as a physical parameter of social networks critical for the evolution of compositional structure and the hierarchical patterning of scale‐free distributions as inhibitory. (shrink)

This paper examines social network size in contemporary Western society based on the exchange of Christmas cards. Maximum network size averaged 153.5 individuals, with a mean network size of 124.9 for those individuals explicitly contacted; these values are remarkably close to the group size of 150 predicted for humans on the basis of the size of their neocortex. Age, household type, and the relationship to the individual influence network structure, although the proportion of kin remained relatively constant at around (...) 21%. Frequency of contact between network members was primarily determined by two classes of variable: passive factors (distance, work colleague, overseas) and active factors (emotional closeness, genetic relatedness). Controlling for the influence of passive factors on contact rates allowed the hierarchical structure of human social groups to be delimited. These findings suggest that there may be cognitive constraints on network size. (shrink)

Animals have evolved complex foraging strategies to obtain a nutritionally balanced diet and associated fitness benefits. Recent research combining state-space models of nutritional geometry with agent-based models (ABMs), show how nutrient targeted foraging behavior can also influence animal social interactions, ultimately affecting collective dynamics and group structures. Here we demonstrate how social network analyses can be integrated into such a modeling framework and provide a practical analytical tool to compare experimental results with theory. We illustrate our approach by (...) examining the case of nutritionally mediated dominance hierarchies. First we show how nutritionally explicit ABMs that simulate the emergence of dominance hierarchies can be used to generate social networks. Importantly the structural properties of our simulated networks bear similarities to dominance networks of real animals (where conflicts are not always directly related to nutrition). Finally, we demonstrate how metrics from social network analyses can be used to predict the fitness of agents in these simulated competitive environments. Our results highlight the potential importance of nutritional mechanisms in shaping dominance interactions in a wide range of social and ecological contexts. Nutrition likely influences social interactions in many species, and yet a theoretical framework for exploring these effects is currently lacking. Combining social network analyses with computational models from nutritional ecology may bridge this divide, representing a pragmatic approach for generating theoretical predictions for nutritional experiments. (shrink)

Purpose: This study explores social networkers' interest in and attitudes toward personal genome testing (PGT), focusing on expectations related to the clinical integration of PGT results. Methods: An online survey of 1,087 social networking users was conducted to assess 1) use and interest in PGT; 2) attitudes toward PGT companies and test results; and 3) expectations for the clinical integration of PGT. Descriptive statistics were calculated to summarize respondents' characteristics and responses. Results: Six percent of respondents have (...) used PGT, 64% would consider using PGT, and 30% would not use PGT. Of those who would consider using PGT, 74% report they would use it to gain knowledge about disease in their family. 34% of all respondents consider the information obtained from PGT to be a medical diagnosis. 78% of those who would consider PGT would ask their physician for help interpreting test results, and 61% of all respondents believe physicians have a professional obligation to help individuals interpret PGT results. Conclusion: Respondents express interest in using PGT services, primarily for purposes related to their medical care and expect physicians to help interpret PGT results. Physicians should therefore be prepared for patient demands for information and counsel on the basis of PGT results. (shrink)

The covid-19 pandemic caused a huge transformation in social life. In this context online social networks could have been key to maintain civic participation. So this paper analyzes the 2022 Survey about social capital and online social networks in the province of A Coruña in order to answer to three aims: to measure both online and offline levels of civic participation during the pandemic, to get to know if there is a statistical association between age and (...) both kinds of civic participation and also, to find out if youth participation is gender related. The data analysis suggests that online social networks worked as enablers of civic participation also reflecting the advances in overcoming gender roles when it comes to young citizens. (shrink)

Las redes sociales asociadas al conocimiento resultan de interés tanto a los estudios en Ciencia Tecnología y Sociedad, como al desenvolvimiento del pensamiento de la complejidad que se desarrolla en el país. Su análisis explica la naturaleza social de la producción científica y la existencia del capital social, cuyas características se vinculan con la satisfacción y resolución de las necesidades sociales dentro de la población cubana. Se muestra una red, conformada en torno a la Publicación Archivo Médico de (...) Camagüey, durante los años 2003, 2004 y dos bimestres del 2005 sobre el desenvolvimiento de las co autorías dentro de ella. Delineando en qué forma los investigadores se relacionaron entre sí, para valorar algunos de sus resultados. Se describen, los grupos esenciales de investigación y sus principales fortalezas. Constituye una herramienta de trabajo, al exponer los cambios que están ocurriendo en torno a la Universidad Médica Camagüeyana The social networks associated to human knowledge are useful to the studies in Science Technology and Society. Their analysis explains the social nature of the scientific production and the existence of social resources, which link the satisfaction and resolution of the social necessities inside the Cuban population. The characteristics of this networks conformed in Archivo Médico de Camagüey publication on the development of co authorship from 2003 to 2005 were presented in this article. The researchers were related to each other in this work to value in which way they function together and analyze some of their results. The essential groups of investigation and their main strengths were also described. It constitutes a work tool for further research works, to considering the changes that are happening about the scientific knowledge production in Camagüey University of Medicine. (shrink)

Recent research indicates that social networking site addiction is positively associated with materialism. However, little attention has been paid to the potential mechanisms in this relationship. This study tested the mediating role of depression and the moderating role of need to belong in the relationships between SNS addiction and adolescents’ materialism. This research model was tested among 733 adolescents in China. The findings indicated that both SNS addiction and NTB were positively related to adolescents’ materialism. Mediation analyses showed (...) that depression mediated the association between SNS addiction and adolescents’ materialism. Moderated mediation indicated that the effect of SNS addiction on materialism and the effect of SNS addiction on depression were exacerbated by NTB. This study can advance our understanding of how SNS could contribute to adolescents’ materialism in this digital society. (shrink)

__Social Network Theory and Educational Change_ offers a provocative and fascinating exploration of how social networks in schools can impede or facilitate the work of education reform._ Drawing on the work of leading scholars, the book comprises a series of studies examining networks among teachers and school leaders, contrasting formal and informal organizational structures, and exploring the mechanisms by which ideas, information, and influence flow from person to person and group to group. The case studies provided in the book (...) reflect a rich variety of approaches and methodologies, showcasing the range and power of this dynamic new mode of analysis. An introductory chapter places social network theory in context and explains the basic tools and concepts, while a concluding chapter points toward new directions in the field. Taken together, they make a powerful statement: that the success or failure of education reform ultimately is not solely the result of technical plans and blueprints, but of the relational ties that support or constrain the pace, depth, and direction of change. This unique volume provides an invaluable introduction to an emerging and increasingly important field of education research. (shrink)

This paper argues in favor of more widespread and systematic applications of a virtue-based normative framework to questions about the ethical impact of information technologies, and social networking technologies in particular. The first stage of the argument identifies several distinctive features of virtue ethics that make it uniquely suited to the domain of IT ethics, while remaining complementary to other normative approaches. I also note its potential to reconcile a number of significant methodological conflicts and debates in the (...) existing literature, including tensions between phenomenological and constructivist perspectives. Finally, I claim that a virtue-based perspective is needed to correct for a strong utilitarian bias in the research methodologies of existing empirical studies on the social and ethical impact of IT. The second part of the paper offers an abbreviated demonstration of the merits of virtue ethics by showing how it might usefully illuminate the moral dimension of emerging social networking technologies. I focus here on the potential impact of such technologies on three virtues typically honed in communicative practices: patience, honesty and empathy. (shrink)

The study aimed to identify the reality of the use of social networks in the technical colleges in Palestine, where the variables of social networks were included. The analytical descriptive method was used in the study. A questionnaire consisting of (12) items was randomly distributed to college workers Technology in the Gaza Strip. The sample of the study consisted of (205) employees of these colleges. The response rate was 74.5%. The results showed a high degree of approval for (...) the dimensions of the social networks and a relative weight (74.15%) according to the perspective of the employees of the technical colleges in the Gaza Strip. The results of the study showed that there is a high level of social networking areas (site management and Website Content) in the technical colleges in the Gaza Strip. The field of site management ranked first with a relative weight of 74.91%, and second and last (Content Site) with a relative weight (73.38%). The results showed that there were differences between colleges in the use of social networks where the results showed that the most common colleges used these networks (UCAS) and the least used is (GTC). The results showed no differences between male and female employees in the use of social networks in technical colleges. The researchers suggest a number of recommendations, including: the need to raise awareness of the importance of Facebook and other social networking sites, through the holding of courses for employees in technical colleges, and to identify the ways to optimize the use of such sites, and the benefits of this use, and reflected positively on technical colleges. And the adoption of dealing with the various social networking sites as a reality, and the Palestinian and Arab technical colleges, use them in accordance with the objectives of technical colleges. Advise the Department of Technical Colleges to devote time to their presence on social networks to follow the public and respond to their queries. There is a need for the attention of decision-makers in technical colleges in social sites, because they are considered an important and effective means of communication, and the link between beneficiaries and decision-makers. There is a need to promote the use of modern electronic means of work and the need to increase the link of customers to the college through electronic services. (shrink)

This study aims to describe social network and social participation and to assess associations with depressive symptoms in older persons with increased risk for dementia in Germany. We conducted a cross-sectional observational study in primary care patients (aged 60-77) as part of a multicenter cluster-randomized controlled trial (AgeWell.de). We present descriptive and multivariate analyses for social networks (Lubben Social Network Scale and subscales) and social participation (item list of social activities) and analyze associations of (...) these variables with depressive symptoms (Geriatric Depression Scale). Of 1030 included patients, 17.2% were at risk for social isolation (Lubben Social Network Scale < 12). Looking at the subscales, a reduced non-family network was found almost twice as often as a reduced family network. Patients with depressive symptoms had significantly smaller social networks than patients without depression (p < 0.001). They rather engaged in social activities of low involvement level or no weekly social activity at all (p < 0.001). The study shows associations of depressive symptoms with a decreased social network and less social participation in elderly participants. Sufficient non-family contacts and weekly social activities seem to play an important role in mental health and should be encouraged in elderly primary care patients. (shrink)

The objective of the study is to re-examine the Verba, Nie, and Kim 's path-breaking analysis of political participation and political equality, under the inclusion of a social network model in Japan. In particular, the present research investigates how and why we find the extremely low correlations between one's socio-economic resource level and political participation in Japan, the evidence unsatisfactorily explained by the VNK analysis. Building on the social network model and employing the first wave of the Asian (...) Barometer survey conducted in 2003, this research presents a more comprehensive model of political participation. The study finds three major kinds of causes for the weak associations between SERLpsychological involvement linkage. From the viewpoint of the social network model, it is clear that the weak SERL–participation linkage is derived from the equalizing impact of group-based processes, yet uniquely Japanese style of network involvement. (shrink)

Based on a national survey of Chinese scientific personnel in 2008, this paper sheds new light on the relationship between social networks and scientific performance. In this study, we used position generator to measure scientists’ ego-centered social networks. The scientists’ performance was measured by multiple indexes, including recognitions from the academic, governmental, and market sectors. The findings show that size and composition of scientists’ social networks have significant effect on their scientific performance. The notions of “information communication (...) mechanism” and “resource acquisition mechanism” are introduced to explain how network composition affects scientific performance along multiple dimensions. The policy implications of the study are also discussed. (shrink)

Social networking sites (SNS) are of increasing importance for adolescents’ social life. As adolescents are prone to display risky health behavior in the offline world, it is likely that they use their online profiles and communications to report on unhealthy behaviors, too. This may in turn enhance the perceived attractiveness of risky behavior within the adolescent cohort. Drawing on the insights of impression management theory, we argue in this article that adolescents use a variety of impression management (...) tactics in their SNS profiles and communications. Following this assumption, our empirical analysis of 5851 Facebook posts (profile texts, comments, photographs, etc.) shows that the users tend to associate risky health behaviors with positive attributes, such as accomplishment or sociability, to present themselves in an attractive way to their online peer audience. We argue that this raises two ethical issues relevant to health promotion: Adolescents’ health may be challenged by interaction on SNS, as their engagement in online impression management blanks out any health problems or critical assessments of risky health behavior. At the same time, the semi-public nature of the communication arena re-enforces the tendency to value unhealthy behavior as more attractive than in offline social interactions. (shrink)

The outputs of economic forecasting—predictions for national economic indicators such as GDP, unemployment rates and inflation—are all highly visible. The production of these forecasts is a much more private affair, however, typically being thought of as the work of individual forecasters or forecast teams using their economic model to produce a forecast that is then made public. This conception over-emphasises the individual and the technical whilst silencing the broader social context through which economic forecasters develop the expertise that is (...) essential for the credibility of their predictions. In particular, economic forecasts are given meaning and fine-tuned through the social and institutional networks that give forecasters access to the expertise of a heterogeneous mix of academics, policy-makers and business people. Within these broader groups, individual forecasters often create private forecast ‘clubs’, where subscribers have privileged access to the expertise of the economist, but where the forecasters also have privileged access to their clients’ own expert knowledge. In examining these aspects of the forecasters’ work I show that the visible and audible activities of modelling and forecasting are made possible and plausible by virtue of the modeller’s invisible interaction with a wider network.Keywords: Expertise; Economic forecasting; Periodic table of expertise; Judgement. (shrink)

In this chapter, we discuss social network analysis as a method for the history of economics. We argue that social network analysis is not primarily a method of data representation but foremost a method of discovery and confirmation. It is as such a promising method that should be added to the toolbox of the historian of economics. We furthermore argue that, to be meaningfully applied in history, social network analysis must be complemented with historical knowledge gained by (...) other means and often by more traditional, mostly qualitative, methods. It should therefore be viewed as a method that complements rather than replaces more established approaches in the history of economics. (shrink)

Multifunctional agricultural systems seek to expand upon production-based benefits to enhance family wellbeing and animal health, reduce inputs, and improve environmental services such as biodiversity and water quality. However, in many countries a landscape-level conversion is uneven at best and stalled at worst. This is particularly true across the eastern rural landscape in the United States. We explore the role of social networks as drivers of system transformation within dairy production in the eastern United States, specifically rotational grazing as (...) an alternative management option. We hypothesize the importance of weak ties within farmer social networks as drivers of change. In Wisconsin, Pennsylvania, and New York, we conducted 53 interviews with confinement, low-intensity, and rotational grazing dairy producers as well as 35 interviews with associated network actors. Though confinement and grazier networks had similar proportions of strong and weak ties, confinement producers had more market-based weak ties, while graziers had more weak-ties to government agencies and other graziers in the region. These agency weak ties supported rotational graziers through information exchange and cost sharing, both crucial to farmers’ transitions from confinement-based production to grazing systems. While weak ties were integral to initial innovation, farmers did not maintain these relationships beyond their transition to grazing. Of equal importance, grazier weak-tie networks did not include environmental organizations, suggesting unrealized potential for more diverse networks based on environmental services. By understanding the drivers, we can identify barriers to expanding weak tie networks and emergent properties in order to create institutions and policies necessary for change. (shrink)

The convergence of increasingly efficient high throughput sequencing technology and ubiquitous Internet use by the public has fueled the proliferation of companies that provide personal genetic information (PGI) direct-to-consumers. Companies such as 23andme (Mountain View, CA) and Navigenics (Foster City, CA) are emblematic of a growing market for PGI that some argue represents a paradigm shift in how the public values this information and incorporates it into how they behave and plan for their futures. This new class of social (...) networking business ventures that market the science of the personal genome illustrates the new trend in collaborative science. In addition to fostering a consumer empowerment movement, it promotes the trend of democratizing information—openly sharing of data with all interested parties, not just the biomedical researcher—for the purposes of pooling data (increasing statistical power) and escalating the innovation process. This target article discusses the need for new approaches to studying DTC genomics using social network analysis to identify the impact of obtaining, sharing, and using PGI. As a locus of biosociality, DTC personal genomics forges social relationships based on beliefs of common genetic susceptibility that links risk, disease, and group identity. Ethical issues related to the reframing of DTC personal genomic consumers as advocates and research subjects and the creation of new social formations around health research may be identified through social network analysis. (shrink)

Interactions of entrepreneurs through social networks provide an available path for corporate risk contagions. However, the issue how entrepreneurs’ social networks influence on corporate risk contagion is still received limited attention from scholars. In this study, a framework is proposed to describe entrepreneurs’ interaction and corporate value creation. The main results of multiagent simulations indicate the following. First, either weak ties or strong connections of social networks can enhance density of corporate risk contagion. However, only strong connections (...) can be moderated by entrepreneurs’ risk preference. Second, weak ties improve risk exposure of individual corporations, while strong connections may probably decrease systematical risk of the market. Third, weak ties are important for mature corporations to achieve business success. However, for startups, strong connections are more valuable to maintain. The findings of this study not only provide theoretical support from some widely accepted economic phenomenon but also provide explanations for conflicting results from some previous literatures. (shrink)

Normal 0 false false false EN-US JA X-NONE Normal 0 false false false EN-US JA X-NONE The following paper takes on a double hypothesis: that the concept of narrative identity, as developed by Ricoeur, is a strong candidate to account for the consequences of the “emplotment ” of our identities on social networking sites; and that social networking sites can be useful to reconsider some of the assumptions at the basis of the Ricoeurian concept of narrative (...) identity. The analysis is developed in three sections: Ricoeur’s “temperate” notion is compared to the “savage” post-modern concept of performative identity; part of the literature about identity on social networking sites is criticized in the light of the Ricoeurian concept; and the paper considers the impact of such a “detour” through social networking sites on Ricoeur’s still monomediatic and monolinear notion. Normal 0 false false false EN-US JA X-NONE. (shrink)

It is widely believed that bringing parties with differing opinions together to discuss their differences will help both in securing consensus and also in ensuring that this consensus closely approximates the truth. This paper investigates this presumption using two mathematical and computer simulation models. Ultimately, these models show that increased contact can be useful in securing both consensus and truth, but it is not always beneficial in this way. This suggests one should not, without qualification, support policies which increase interpersonal (...) contact if one seeks to improve the epistemic performance of groups. (shrink)

Social media applications such as Twitter, YouTube and Facebook have attained huge popularity, with more than three billion people and organizations predicted to have a social networking account by 2015. Social media offers a rapid avenue of communication with the public and has potential benefits for communicable disease control and surveillance. However, its application in everyday public health practice raises a number of important issues around confidentiality and autonomy. We report here a case from local level (...) health protection where the friend of an individual with meningococcal septicaemia used a social networking site to notify potential contacts. (shrink)

Data on the number of adults that an individual contacts at least once a month in a set of British populations yield estimates of network sizes that correspond closely to those of the typical “sympathy group” size in humans. Men and women do not differ in their total network size, but women have more females and more kin in their networks than men do. Kin account for a significantly higher proportion of network members than would be expected by chance. The (...) number of kin in the network increases in proportion to the size of the family; as a result, people from large families have proportionately fewer non-kin in their networks, suggesting that there is either a time constraint or a cognitive constraint on network size. A small inner clique of the network functions as a support group from whom an individual is particularly likely to seek advice or assistance in time of need. Kin do not account for a significantly higher proportion of the support clique than they do for the wider network of regular social contacts for either men or women, but each sex exhibits a strong preference for members of their own sex. (shrink)

This article explores the norms that govern regular users’ acts of sharing content on social networking sites. Many debates on how to counteract misinformation on Social Networking Sites focus on the epistemic norms of testimony, implicitly assuming that the users’ acts of sharing should fall under the same norms as those for posting original content. I challenge this assumption by proposing a non-epistemic interpretation of (mis) information sharing on social networking sites which I construe (...) as infrastructures for forms of life found online. Misinformation sharing belongs more in the realm of rumour spreading and gossiping rather than in the information-giving language games. However, the norms for sharing cannot be fixed in advance, as these emerge at the interaction between the platforms’ explicit rules, local norms established by user practices, and a meta-norm of sociality. This unpredictability does not leave us with a normative void as an important user responsibility still remains, namely that of making the context of the sharing gesture explicit. If users will clarify how their gestures of sharing are meant to be interpreted by others, they will implicitly assume responsibility for possible misunderstandings based on omissions, and the harms of shared misinformation can be diminished. (shrink)

Employee social network strategies play a key role in firm strategies and organizational performance. Currently, scholars underestimate the contributions of employee social strategies in firm strategies. Little is known how informal employee social networks, group entitativity and competition could shape and direct firm strategies and organizational performance. The article examines social network theory and strategic management’s content, process and open schools of thought to propose a new interpretation for managing firm strategies. More specifically, the author examines (...) alternate causal paths, underlying processes and structures as mechanisms in employee social network strategies within a theoretical framework. The article proposes 4 theoretically driven propositions and makes two contributions. First, the article contributes to organizational behavior literature by focusing on the literature gap in network dynamics and competitive actions through employee social networks. Second, although there is immense literature on positive and negative employee competition in business, the article makes a contribution to the strategic management literature by moving beyond formalized structures and roles within an organization to focus on the multilevel informal workplace social interactions and processes that impact strategizing activities. Overall, the article extends strategy research in relation to how employee social networks operate through competition and group entitativity in firm strategies. (shrink)

In this paper, faculty librarians at an academic institution explore the ethical dimensions of conducting research with user-generated social networking service (SNS) data. In an effort to guide librarian-researchers, this paper first offers a background discussion of privacy ethics across disciplines and then proposes a library-specific ethical framework for conducting SNS research.,By surveying the literature in other disciplines, three key considerations are identified that can inform ethical practice in the field of library science: context, expectation, and value analysis. (...) For each of these considerations, the framework is tailored to consider ethical issues, as they relate to libraries and our practice as librarian-researchers.,The unique role of the librarian-researcher demands an ethical framework specific to that practice. The findings of this paper propose such a framework.,Librarian-researchers are at a unique point in our history. In exploring SNSs as a source of data to conduct research and improve services, we become challenged by conflicting and equally cherished values of patron privacy and information access. By evaluating research according to context, expectations, and value, this framework provides an ethical path forward for research using SNS data.,As of this paper’s publication, there is no existing ethical framework for conducting SNS research in libraries. The proposed framework is informed both by library values and by broader research values, and therefore provides unique guidelines for the librarian-researcher. (shrink)

The concept of social capital refers to the ways in which people make use of their social networks in "getting ahead." Social capital isn't just about the connections in networks, but fundamentally concerns the distribution of resources on the basis of exchanges. This volume focuses on how social capital interacts with social institutions, based on the premise that markets, communities, and families are the major contexts within which people meet and build up social networks (...) and the foci to create social capital. Featuring innovations in thinking about exchange mechanisms, resource distribution, institutional logics, resource diversity, and the degree of openness or closure of social networks, these chapters present some of the most important advances in this essential field. Paralleling these theoretical developments, the chapters also improve practical methodological work on social capital research, using new techniques and measurement methods for the uncovering of social logics. (shrink)

Directive 95/46/EC and implementing legislation define the respective obligations and liabilities of the different actors that may be involved in a personal data processing operation. There are certain exceptions to the scope of these regulations, among which processing which is carried out by natural persons in the course of activities that may be considered ‘purely personal’. The purpose of this article is to investigate the liability of users of social network sites under data protection and to assess the extent (...) to which the current data protection framework can sufficiently accommodate the new realities of web 2.0 and social networking applications. (shrink)

This paper presents some results of a case study of the usage of the social networking platform studiVZ by students in Salzburg, Austria. The topic is framed by the context of electronic surveillance. An online survey that was based on questionnaire that consisted of 35 (single and multiple) choice questions, 3 open-ended questions, and 5 interval-scaled questions, was carried out (N = 674). The knowledge that students have in general was assessed with by calculating a surveillance knowledge index, (...) the critical awareness towards surveillance by calculating a surveillance critique index. Knowledge about studiVZ as well as information behaviour on the platform were analyzed and related to the surveillance parameters. The results show that public information and discussion about surveillance and social networking platforms is important for activating critical information behaviour. In the case of studiVZ, a change of the terms of use in 2008 that brought about the possibility of targeted personalized advertising, was the subject of public discussions that influenced students’ knowledge and information behaviour. (shrink)

A social network image denoising algorithm based on multifeature fusion is proposed. Based on the multifeature fusion theory, the process of social network image denoising is regarded as the fitting process of neural network, and a simple and efficient convolution neural structure of multifeature fusion is constructed for image denoising. The gray features of social network image are collected, and the gray values are denoising and cleaning. Based on the image features, multiple denoising is carried out to (...) ensure the accuracy of social network image denoising algorithm and improve the accuracy of image processing. Experiments show that the average noise of the image processed by the algorithm designed in this study is reduced by 8.6905 dB, which is much larger than that of other methods, and the signal-to-noise ratio of the output image is high, which is maintained at about 30 dB, which has a high effect in the process of practical application. (shrink)

In recent years, social networks have made significant progress and the number of people who use them to communicate is increasing day by day. The vast amount of information available on social networks has led to the importance of using friend recommender systems to discover knowledge about future communications. It is challenging to choose the best machine learning approach to address the recommender system issue since there are several strategies with various benefits and drawbacks. In light of this, (...) a solution based on the stacking approach was put out in this study to provide a buddy recommendation system in social networks. Additionally, a decrease in system performance was caused by the large amount of information that was accessible and the inefficiency of some functions. To solve this problem, a particle swarm optimization algorithm to select the most efficient features was used in our proposed method. To learn the model in the objective function of the particle swarm algorithm, a hybrid system based on stacking is proposed. In this method, two random forests and Extreme Gradient Boosting had been used as the base classifiers. The results obtained from these base classifiers were used in the logistic regression algorithm, which has been applied sequentially. The suggested approach was able to effectively address this issue by combining the advantages of the applied strategies. The results of implementation and evaluation of the proposed system show the appropriate efficiency of this method compared with other studied techniques. (shrink)

We report on the experience of creating a socially networked system, the Research-oriented Social Environment , for representing knowledge in the form of relationships between people, documents, and groups. Developed as an intercampus, interdisciplinary project of the University of California, this work reflects on a collaboration between scholars in the humanities, software engineering, and information studies by providing an opportunity not only to synthesize different disciplinary perspectives, but also to interrogate and challenge the assumptions each brings to team-based design (...) projects in the digital humanities. This work examines socially networked knowledge as both content and methodology for collaboration, calling for further critique and future investigation of epistemological questions in models of social networks. (shrink)

This qualitative study looks at the complex relationship of transaction costs, norms, and social networks through a comparison of industrial buyer-seller relationships in the United States and Mexico. Despite arguments by transactioncost theorists that the nature of cooperation in business is largely a function of the nature of investments in transaction assets, this article illustrates several cases where the economic logic is attenuated and a mutual orientation develops as the social structure promotes greater trust either because of shared (...) norms or network ties. It also suggests that asset specificity may at times be a product of the social structure in which the transaction is embedded. The article develops theoretical propositions and suggests directions for future research. (shrink)

This release includes the data and code used in: Malaterre, C., F. Lareau (2023) Inferring social networks from unstructured text data: A proof of concept detection of “hidden communities of interest”. Text and Data Analytics for Policy.

BackgroundIn the pandemic time, many low- and middle-income countries are experiencing restricted access to COVID-19 vaccines. Access to imported vaccines or ways to produce them locally became the principal source of hope for these countries. But developing a strategy for success in obtaining and allocating vaccines was not easy task. The governments in those countries have faced the difficult decision whether to accept or reject offers of vaccine diplomacy, weighing the price and availability of COVID-19 vaccines against the concerns over (...) their efficacy and safety. We aimed to analyze public opinion regarding the governmental strategies to obtain COVID-19 vaccines in three Central Asian countries, focusing particularly on possible ethical issues.MethodsWe searched for opinions expressed either in Russian or in the respective national languages. We provided data on the debate within three countries, drawn from social media postings and other sources. The opinion data was not restricted by source and time. This allowed collecting a wide range of possible opinions that could be expressed regarding COVID-19 vaccine supply and human participation in the vaccine trial. We recognized ethical issues and possible questions concerning different ethical frameworks. We also considered scientific data and other information, in the process of reasoning.ResultsAs a result, public views on their respective government policies on COVID-19 vaccine supply ranged from strongly negative to slightly positive. We extracted the most important issues from public debates, for our analysis. The first issue involved trade-offs between quantity, speed, price, freedom, efficacy, and safety in the vaccines. The second set of issues arose in connection with the request to site a randomized trial in one of the countries (Uzbekistan). After considering additional evidence, we weighed individual and public risks against the benefits to make specific judgements concerning every issue.ConclusionsWe believe that our analysis would be a helpful example of solving ethical issues that can arise concerning COVID-19 vaccine supply around the world. The public view can be highly critical, helping to spot such issues. An ignoring this view can lead to major problems, which in turn, can become a serious obstacle for the vaccine coverage and epidemics’ control in the countries and regions. (shrink)

Marketing research on adolescents’ ethical predispositions and risky behaviors has focused primarily on individual difference variables. The present study, in contrast, examines the social network positions that an adolescent occupies within a group. A survey of 984 adolescents demonstrates that EP and RB stem from a balance between assimilation and individuation. In particular, we show that adolescents with close first-degree relationships within a specific peer group and/or high need for uniqueness have lower EP and engage in more RB, while (...) adolescents that are more central to the entire network have higher EP. The theoretic and practical implications of these findings are discussed. (shrink)

This book, the first of two volumes dedicated to ethics in social networking and business, presents the notions, theories and practical aspects related to ethics, morale and deontology in our society. Through a series of discussions and examples on topics ranging from complexity to evolution theories, the author provides an insight into why business ethics is essential for managing risks and uncertainties. The Ethics in Social Networking and Business series is the result of a cross-integration of (...) real experiences (from IBM, society and the Rotary Club), transdisciplinary works in decision making, and advances at the boundaries of several scientific fields. (shrink)

Given the rapid growth of participatory media content such as blogs, there is a need to design personalized recommender systems to recommend only useful content to users. We be- lieve that in addition to producing useful recommendations, certain insights from media research such as simplification and opinion diversity in recommendations should form the foundations of such recommender systems, so that the be- havior of the systems can be understood more closely, and modified if necessary. We propose and evaluate such a (...) sys- tem based on a Bayesian user-model. We use the underlying social network of blog authors and readers to model the pref- erence features for individual users. The initial results of our proposed solution are encouraging, and set the agenda for fu- ture research. Introduction. (shrink)

PurposeThis paper aims to investigate behavioural changes related to self-censorship (SC) in social networking sites (SNSs) as new methods of online surveillance are introduced. In particular, it examines the relationships between SC and four related factors: privacy concerns (PC), privacy awareness (PA), perceived vulnerability (PV) and information management (IM).Design/methodology/approachA national wide survey was conducted in the UK (N= 519). The data were analysed to present both descriptive and inferential statistical findings.FindingsThe level of online SC increases as the level (...) of privacy concern increases. The level of privacy concern increases as the levels of PA and PV increase and the level of effective IM decreases.Originality/valueThis study extends the literature on online SC, showing that PCs increase the level of SC in SNSs. It provides support for three antecedent factors to PC which impact upon levels of SC when communicating in SNSs. (shrink)

Diversity of social identities can improve the performance of groups through varied cognitive and communicative pathways. Recently, research efforts have focused on identifying when we should expect to see these potential benefits in real-world settings. While most research to date has studied this topic at individual and interpersonal levels, in this paper, we develop an agent-based model to explore how various aspects of homophily, the tendency of individuals to associate with similar others, affects performance at a larger scale. Study (...) 1 examines how two types of homophily---identity-driven and opinion-driven---impact collective performance on a sequential decision-making task via modulating network formation and trust relations. Study 2 considers how the presence of identity-based conformity pressure can affect the findings from the first study. Overall, we find that the effect of homophily on performance is complex, depending on the operative dimensions of similarity, mediating pathways, and the specific outcome of interest. Finally, we discuss the implications of our results for policy interventions aiming to improve group performance. (shrink)

A social network is a web that integrates multiple levels of interindividual social relationships and has direct associations with an individual’s health and well-being. Previous research has mainly focused on how brain and social network structures act on each other and on how the brain supports the spread of ideas and behaviors within social networks. The structure of the social network is correlated with activity in the amygdala, which links decoding and interpreting social signals (...) and social values. The structure also relies on the mentalizing network, which is central to an individual’s ability to infer the mental states of others. Network functional properties depend on multilayer brain-social networks, indicating that information transmission is supported by the default mode system, the valuation system, and the mentalizing system. From the perspective of neuroendocrinology, overwhelming evidence shows that variations in oxytocin, β-endorphin and dopamine receptor genes, including oxytocin receptor, mu opioid receptor 1 and dopamine receptor 2, predict an individual’s social network structure, whereas oxytocin also contributes to improved transmission of emotional and behavioral information from person to person. Overall, previous studies have comprehensively revealed the effects of the brain, endocrine system, and genes on social networks. Future studies are required to determine the effects of cognitive abilities, such as memory, on social networks, the characteristics and neural mechanism of social networks in mental illness and how social networks change over time through the use of longitudinal methods. (shrink)