A Preliminary Comparative Analysis of Personal Social Networks and a Whole Social Network in a Tsimane' Village, Bolivia

2010 ◽  
Author(s):  
Alan Schultz
2020 ◽  
Vol 66 (7) ◽  
pp. 682-692
Author(s):  
François Wyngaerden ◽  
Marie Tempels ◽  
Jean-Louis Feys ◽  
Vincent Dubois ◽  
Vincent Lorant

Background: For psychiatric service users, the personal social network offers resources such as behavioural guidance, social support, and coherence of care delivery. So far, most research on the subject has assessed the availability of these resources using size and composition measures. However, the availability of network resources also depends on the cohesion of the relationships between network members, a topic that is rarely addressed in the literature. Aims: In this article, we aim to describe the cohesion of psychiatric service users’ networks. Method: We carried out a personal network survey and collected data on the social networks of 380 service users recruited in outpatient and inpatient services in Belgium. We used an ego-network mapping technique. The data were analysed using several structural metrics describing size, composition, and cohesion. We carried out analysis of variance (ANOVA) in relation to residential status, level of education, psychiatric history, and psychosocial functioning and analysed three cohesion indicators (density, fragmentation, and centralisation) with regression analyses. Results: Personal social networks were small and not very cohesive. Most were composed of a dense subgroup as well as several isolated network members. The analyses revealed that highly educated psychiatric service users had more fragmented networks, while users living in independent accommodation had less dense networks. Density and fragmentation were not associated with the severity of psychosocial functioning, whereas centralisation was. Conclusions: The low level of cohesion may indicate that service users aim to access multiple and diverse social resources and that better-off service users are more successful at doing so. On the whole, however, these personal social networks were fragile, because they contained a high number of isolated network members. Finally, it could be beneficial for professionals to pay special attention to the central persons within the networks of psychiatric service users.


2018 ◽  
Vol 43 (6) ◽  
pp. 1028-1036 ◽  
Author(s):  
Diana M. Kingsbury ◽  
Madhav P. Bhatta ◽  
Brian Castellani ◽  
Aruna Khanal ◽  
Eric Jefferis ◽  
...  

2017 ◽  
Vol 5 (1) ◽  
pp. 92-107 ◽  
Author(s):  
AMY N. BUSH ◽  
ALICIA M. WALKER ◽  
BREA L. PERRY

AbstractDespite the growing potential for multiplexity in our complex social world, social network methodology often does not adequately capture this phenomenon. Most commonly in research on egocentric social networks, when respondent designate a tie as both family member and friend, the tendency is to default to “family” prior to aggregation for analysis, potentially ignoring important and meaningful variation. As a result, relatively little is known about multiplexity in personal social networks, and particularly about individuals who are simultaneously kin and friends. To address this gap, we assess the rate of occurrence of kinship/friendship multiplexity, and examine characteristics of alters nominated as friends and kin in comparison to those with unidimensional functionality. We find that this kind of multiplexity is fairly common–comprising about one-fifth of kinship ties and one-fourth of friendship ties. Moreover, cross–listed alters are significantly different from those characterized in one function, serving in greater capacity in terms of provision of support, frequency of contact, closeness, and as resources for discussion of important matters. Our findings underscore the critical need to appropriately classify multiplex kinship/friendship ties to avoid making incorrect inferences about support processes and their effects on outcomes across different relationship types.


AWARI ◽  
2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Vicente Espinoza

The article presents an interview with Dr. Mario Luis Small about his works and contributions to social network analysis. The conversation revolves around four topics: first, the linkages between his research on urban communities and the current validity of the social capital approach. The second section discusses multiplexity in personal social networks as well as the shortcomings of a deductive approach to this subject. Third, the interview considers the effects of the contexts of interaction for the analysis of discussion networks. The final part of the interview provides recommendations regarding the interpretation of the information obtained from a name generator


2013 ◽  
Vol 29 (1) ◽  
pp. 15-27 ◽  
Author(s):  
Philip Haynes ◽  
Laura Banks ◽  
Michael Hill

Using data from The International Social Survey Programme this paper compares the social networks of those aged 50 and above in 18 countries. Two different types of networks are conceptualised: family contact and community participation. Using qualitative comparative analysis (QCA), international sets are established for four groups of countries. Set one includes countries that only satisfy a minimal number of social network thresholds (France, Norway, Great Britain, Denmark and the USA). Set two includes a homogeneous group of countries with above-threshold rates of marriage and community participation (Australia, New Zealand, Germany, Austria and Canada). Other separate sets with stronger social network features comprise Eastern European countries (set three) and Southern Europe countries (set four) in these sets, family contacts are above the international country average but community participation is less strong. Country sets with low comparative threshold scores in the QCA are argued to be likely to be in greater need of government care policy interventions.


2020 ◽  
Vol 14 (2) ◽  
pp. 44-50
Author(s):  
A. A. Kochkarov ◽  
N. V. Kalashnikov ◽  
R. A. Kochkarov

Social networks have firmly entered the lives of billions of global Internet users worldwide. They communicate in social networks, play online games, make purchases, organise online events — exchange content from all walks of life [1, 2]. The most popular and well-known services in Russia are Vkontakte (vk.com), Youtube.com, Facebook.com, Odnoklassniki (Ok.ru), etc. The interfaces of such platforms allo — fake accounts. In this paper, we propose an approach to detect bots using the LiveJournal social network as an example. For this, we investigated the characteristics of the user’s egograph and performed a comparative analysis of the results of the classification algorithms.


Author(s):  
Sanjay Chhataru Gupta

Popularity of the social media and the amount of importance given by an individual to social media has significantly increased in last few years. As more and more people become part of the social networks like Twitter, Facebook, information which flows through the social network, can potentially give us good understanding about what is happening around in our locality, state, nation or even in the world. The conceptual motive behind the project is to develop a system which analyses about a topic searched on Twitter. It is designed to assist Information Analysts in understanding and exploring complex events as they unfold in the world. The system tracks changes in emotions over events, signalling possible flashpoints or abatement. For each trending topic, the system also shows a sentiment graph showing how positive and negative sentiments are trending as the topic is getting trended.


Author(s):  
Deborah O. Obor ◽  
Emeka E. Okafor

This study focused on social networks and business performance among Igbo businessmen in Ibadan, South-west Nigeria through the exploratory research design. Social exchange, social network and social capital theories were employed as theoretical framework. Twenty-six in-depth interviews, key informant interviews and case studies were conducted with purposively selected respondents in four business locations in Ibadan. The results showed that among the factors that facilitated migration of the Igbo to Ibadan were their interest to learn a trade, their inability to attain higher education, and having a relative in Ibadan. The types of social networks available showed that social network was not location bound, as all the respondents belonged to town progressive unions and mutual benefits/cooperative associations. Social networks played vital roles in business performance, including social support, access to loan, business growth and expansion. The main challenges to maintaining adequate social network in business were distrust, envy, unbridled competition, dishonesty and inability to keep terms of agreement. The study concludes that social networks have positively influenced the business performance of migrant Igbo in Ibadan. There is need for the Igbo to strengthen their social networks through honesty, forthrightness, and transparency in all their dealings.


Author(s):  
Matthew O. Jackson ◽  
Brian W. Rogers ◽  
Yves Zenou

What is the role of social networks in driving persistent differences between races and genders in education and labor market outcomes? What is the role of homophily in such differences? Why is such homophily seen even if it ends up with negative consequences in terms of labor markets? This chapter discusses social network analysis from the perspective of economics. The chapter is organized around the theme of externalities: the effects that one’s behavior has on others’ welfare. Externalities underlie the interdependencies that make networks interesting to social scientists. This chapter discusses network formation, as well as interactions between people’s behaviors within a given network, and the implications in a variety of settings. Finally, the chapter highlights some empirical challenges inherent in the statistical analysis of network-based data.


Author(s):  
Ryan Light ◽  
James Moody

This chapter provides an introduction to this volume on social networks. It argues that social network analysis is greater than a method or data, but serves as a central paradigm for understanding social life. The chapter offers evidence of the influence of social network analysis with a bibliometric analysis of research on social networks. This analysis underscores how pervasive network analysis has become and highlights key theoretical and methodological concerns. It also introduces the sections of the volume broadly structured around theory, methods, broad conceptualizations like culture and temporality, and disciplinary contributions. The chapter concludes by discussing several promising new directions in the field of social network analysis.


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