Empathic people have more friends: Empathic abilities predict social network size and position in social network predicts empathic efforts

Living in large groups and maintaining extensive social relationships, as humans do, requires special social capabilities. Past research has shown that social cognitive abilities predict people’s social network size. To extend these findings we explored the role of a social emotional ability, and investigated how empathic abilities shape people’s social network. In line with the social brain hypothesis the findings show that dispositional empathic abilities (IRI), and empathic concern specifically, predict how many close relationships people maintain. The study also found that emphatic abilities are strategically used in people’s social network, with more empathy exercised in the support group with closer relationships. The findings further demonstrate the social function of empathy and highlight the importance of understanding empathy in terms of its strategic exercise among various social relationships.     

Assessing organizational capacity for diffusion: A school-based social network analysis case study

The purposeful design of social networks is increasingly recognized as a fundamental organizational improvement strategy. In the PK-12 education sector, school-based teacher collaboration is the primary vehicle through which educators are able to gain access to essential social capital, and through which leaders promulgate diffusion of innovation and continuous organizational learning. In partnership with school administrators, the authors undertook an evaluation to examine the size, structure, and composition of school-based networks. Social network analysis (SNA) was used to measure and visualize connections (or lack thereof) of ties between teams and between educators. Isolate and disconnected network actors were revealed through visual inspection of the sociograms. Administrators used findings to reconfigure team membership to enhance teacher ability to give and receive support and collaboratively problem-solve, and to ensure greater capacity for diffusion of instructional innovation and organizational learning. This paper contributes to the field’s understanding of how evaluators and organizational leaders can use SNA to measure, visualize, and more purposefully design effective patterns of connection between people through which professional knowledge, support, and innovation will travel.     

Adolescent network positions and memory performance in adulthood: Evidence from sibling fixed effects models with sociometric network data

Although research has explored social factors influencing memory performance during adolescence, the impact of adolescent social network positions remains largely unknown. This study examines whether adolescent network position is associated with memory performance in adulthood, while also considering potential gender differences. The study used a sibling sample from the National Longitudinal Study of Adolescent to Adult Health (N = 2462) and employed sibling fixed effects models to account for unobserved family background factors, such as genetics, parental characteristics, family environment, and childhood neighborhood. Four dimensions of adolescent network position—i.e., popularity, sociality, degree centrality, and closeness centrality—were sociometrically assessed in schools. Memory performance in adulthood was measured using the Rey Auditory Verbal Learning Test. The sibling fixed effects estimates indicate that sociality, degree centrality, and closeness centrality are significantly associated with increased memory performance in adulthood, even after controlling for unobserved family heterogeneity as well as a set of individual-level covariates. In contrast, controlling for unobserved family heterogeneity attenuated the association for popularity, making it statistically insignificant. This study also provides evidence of gender differences in the association between social network position and memory performance. The associations for popularity, sociality, and degree centrality are more pronounced among men than women. This study’s findings highlight the importance of adolescent network positions as social determinants in shaping cognitive outcomes over the life course. Interventions that encourage positive peer interactions and reduce social isolation during adolescence may help improve cognitive health in the population.     

Early social exposure and later affiliation processes within an evolving social network

BackgroundWhile short-term experiments have found that exposure to social contacts affects likeability, this study investigates its long-term effects on friendships in an emerging network.MethodsOne hundred psychology freshmen indicated whether they attended an introductory event before the start of the academic year to assess early exposure and reported on the friendships they formed with their peers at the beginning, middle, and end of their first semester.ResultsRSiena network models revealed that students taking part in the introductory event were more likely to form friendships throughout the first semester, but less likely to keep them.DiscussionWhile early exposure to people in an emerging network might provide a head start for forming friendships for at least a semester, these friendships appear less stable than those of students who did not have that exposure.     

Theory of mind,perceived intentions and reciprocal behaviour: Evidence from individuals with Autism Spectrum Disorder

Evidence suggests that departures from pure self-interest are due, at least partly, to individuals conditioning their behaviour on the perceived intentions of others. We present a new experiment that refines the study of intention-based other-regarding motives. Using a series of mini-ultimatum games that have been extensively studied in the literature, we compare the behaviour of normally-developing (ND) children to that of children with Autism Spectrum Disorder (ASD), who typically lack the ability to attribute intentions to the observed actions of others. We find that ND children’s rejection behaviour responds systematically to changes in the set of available options, in line with previous findings. ASD children’s rejections are virtually unaffected by the intentions that could be inferred from the games’ strategy space. These differences are mainly driven by ASD children with low mentalising abilities.     

Social network structure and the trade-off between social utility and economic performance

We put forward a computational multi-agent model capturing the impact of social network structure on individuals’ social trust, willingness to cooperate, social utility and economic performance. Social network structure is modeled as four distinct social capital dimensions: degree, centrality, bridging and bonding social capital. Model setup draws from socio-economic theory and empirical findings based on our novel survey dataset. Results include aggregate-level comparative statics and individual-level correlations. We find, inter alia, that societies that either are better connected, exhibit a lower frequency of local cliques, or have a smaller share of family-based cliques, record relatively better aggregate economic performance. As long as family ties are sufficiently valuable, there is a trade-off between aggregate social utility and economic performance, and small world networks are then socially optimal. We also find that in dense networks and trustful societies, there is a trade-off between individual social utility and economic performance; otherwise both outcomes are positively correlated in the cross section.     

Demographic and HIV status diversities as mechanisms of social integration and segregation among Black sexual and gender minorities enrolled in a community-based social network intervention

Drawing on a social integration and intersectionality framework, this study advances a dynamic network understanding of the mechanisms that enable differential patterns of within-group social integration and segregation among Black sexual and gender minorities (BSGM). Specifically, in a cohort of BSGM (18–35 years of age, n = 340) participating in a community-based network intervention for HIV prevention, we examine how sexual, gender, age, and HIV status diversities contribute to friendship formation and maintenance patterns over the 12-month study enrollment period. We found attenuated social integration (or social activity) among non-gay-identified and older BSGM and evidence of social segregation (or homophily) on the basis of sexual identity and age similarities. Accounting for the moderating effects of the intervention revealed that the attenuated integration of non-gay-identified and older BSGM were stronger for participants who received the peer leadership training, and integration challenges were also found for transgender BSGM who received the peer leadership training. Meanwhile, BSGM living with HIV who received the peer leadership training were significantly more integrated than their counterparts in the control arm. These findings help us understand the complicated social fabric among BSGM and the dynamics that interventions for this community may have to contend with or alter.     

Changes in core network size in Japan: Comparisons between the 1990s and 2010s

Few studies have examined changes in network size during the past 20 years in Japan despite changes in many other aspects of Japanese society that could affect Japanese social relationships. I conducted a time-series cross-sectional survey to investigate changes in network size for married Japanese people from 1993 to 2014. Results follow: 1) core network sizes decreased slightly; 2) the number of married males with no core network outside their households increased slightly; 3) kin and neighbour network sizes decreased and friend network size increased among married females; 4) kin network size decreased among married males; and 5) the probability of younger married males having no network friends increased. Overall, changes in network sizes were small, and we cannot conclude that serious social decay occurs among married Japanese people.     

Cross-national variation in political network size,distribution, and prediction

Network size has a fundamental influence on other network properties. As studies of social network size have accumulated beyond the U.S. and Western Europe, diversity in the networks examined and methods used to construct size estimates have hindered the ability to make direct cross-national comparisons. We employ data from a summary political discussion network size measure in 17 surveys conducted in 15 countries between 2012 and 2018. We offer improved cross-national data on political network size distributions and estimate aggregate and country-specific models to understand the factors, both social and political, that predict political network size within countries.     

Being close: The quality of social relationships in a local organic cereal and bread network in Lower Austria

Experience of the drawbacks of a globalised and industrialised food system has generated interest in localised food systems. Local food networks are regarded as more sustainable food provision systems since they are assumed to have high levels of social embeddedness and relations of regard. This paper explores the social relations between food actors and how ‘local’ and ‘organic’ are expressed by detailing how actors describe qualities of their intra-network relationships, how they understand ‘local’ and how they are connected within the food system. A study from the province of Lower Austria in Austria, where organic cereals and bread are produced and marketed, serves to illuminate these issues. Actors agreed that geographical closeness contributed to the social closeness they experienced and that social relationships were a strong reason for being in the network. However, the meaning of ‘local’ was elastic depending on where inputs and consumers could be found. Furthermore, despite strong commitment to organic production methods and the local market, actors faced constraints that made them hybrids between organic and conventional, and between locally focused and globally dependent. Thus, the binary thinking along the local-global and organic-conventional divide does not hold. While it is important to not make a causal link between high quality of social relationships and local food networks, the case described here indicates the possibility of such a link.     

Mapping the two levels of digital divide: Internet access and social network site adoption among older adults in the USA

Older adults have increasingly adopted Internet and social network sites (SNSs), but little communication scholarship has explored systematic differences in access within this population. Using a nationally representative sample of Americans over the age of 50 years from the 2012 Health and Retirement Study, we examine Internet access (N?=?18,851) and SNS adoption patterns (N?=?869) among this sample and explore how these patterns vary by age. Regarding Internet access, results suggest that while the gender divide has reversed in favor of women, older adults who are economically, socioculturally, or physically disadvantaged are less likely to have reliable Internet access. In addition, the view that the various divides in Internet access are less of a concern for those who are younger is only partially supported, as some access-related divides do not vary by age or even decrease with age. For SNS adoption, we found that access to technological resources (diversity of online activities) positively predicts SNS use. Moreover, SNS users are more likely to be younger, female, widowed, and homemakers, perhaps because these individuals are more motivated to use SNSs to complement or compensate for their existing social status. These findings reveal unique challenges and motivations in relation to Internet access and SNS adoption patterns across the later life span.     

Polarized public opinion responding to corporate social advocacy: Social network analysis of boycotters and advocators

Despite growing attention to corporate social-political advocacy, little is known about how publics mobilize and establish relationships in social media when firms are involved in hot-button issues. Using the social network approach, this study examines a network structure which emerged around boycotting and advocating for Starbucks and Budweiser when these two brands responded to President Donald Trump’s immigration ban executive order in 2017. The study identified three unique characteristics in the boycotters’ networks. The boycotters appeared not only in the aggregated brand boycotting networks, but also in the advocators’ networks. In addition, boycotters in Budweiser and Starbucks networks were engaged in boycotting other brands or organizations which were opposed to Republicans or President Trump’s policy. Finally, the network of boycotters was very dense and highly connected among subgroups while that of advocators was sparse. Theoretical and practical implications are discussed.     

The importance of the size of the social network and residential proximity in the reception of informal care in the European Union

This paper explores which factors affect the reception of informal care among those dependent people aged 65 and over in Europe, starting from the so-called Behavioural Model of Health Service Use introduced by Andersen. The data employed are drawn from the fourth wave of the Survey of Health, Ageing, and Retirement. The final sample consists of a total of 17,284 older dependent people of which 4529 (26.2%) received informal care. The main novelty is the incorporation of different characteristics of the social network of the individual (presence of children, size and residential proximity) among the factors that enable the reception of informal care. In particular the two latter aspects are combined in one sole indicator of distance to the social network. In addition to ‘traditional factors’ like age or degree of dependency, all the characteristics of the social network are found to influence the likelihood of receiving informal care. This reveals the need for taking into consideration the role played by social networks when governments design care programmes, especially in the current scenario of rising demand for care.     

Bridging semantic and social network analyses: the case of the hashtag #precisamosfalarsobreaborto (we need to talk about abortion) on Twitter

This paper presents an innovative method design that combines semantic with social network analysis in order to measure opinion leadership in social networking sites in a more accurate way. We used this method to assess the efficacy of the TPM magazine in disseminating its pro-decriminalization of abortion frames (contained in the cover story of its 148th issue) that were associated with the hashtag #precisamosfalarsobreaborto (a trending topic in November 2014). The data were collected from Twitter through the data-mining application NodeXL (N?=?1010). A content analysis of a random sample was carried out (N?=?376; margin of error?=?4%; confidence interval?=?95%; Krippendorff’s alpha?=?0.661). Using the software Gephi, we plotted the data on a socio-semantic graph, which indicates that (a) the border of the social network does not represent a semantic gap with the center and (b) despite the network being extremely like-minded, one of its hubs appears to be what we conceptualize as a hotspot of contestation. We discuss how future research may replicate and refine our methodology to handle population datasets and big data as well.