scholarly journals FUNCTIONAL IMPAIRMENT AND SOCIAL NETWORK CHANGE: EVIDENCE FROM THE NATIONAL SOCIAL LIFE, HEALTH, AND AGING PROJECT

2018 ◽  
Vol 2 (suppl_1) ◽  
pp. 83-84
Author(s):  
M Schafer ◽  
L Upenieks
Keyword(s):  
Social Network ◽  
Functional Impairment ◽  
Social Life ◽  
Network Change

scholarly journals Modeling Network Dynamics

2017 ◽  
Author(s):  
Christopher Steven Marcum ◽  
David R. Schaefer
Keyword(s):  
Stochastic Process ◽  
Social Networks ◽  
Social Network ◽  
Social Life ◽  
Network Science ◽  
Dynamic Network ◽  
Process Theory ◽  
Network Data ◽  
Network Change ◽  
Human Actors

One of the great lessons from the last half century of research on social networks is that relationships are constantly in flux. While much social network analysis focuses on static relationships between actors, there is also a rich tradition of work extending back to foundational studies in network science focused on the notion that network change is an indelible aspect of social life for human and non-human actors alike (e.g., Bott, 1957; Heider, 1946; Newcomb 1961; Rapoport, 1949; Sampson, 1969). Today, social network researchers benefit from this history in that a host of methods to collect and analyze such dynamic network data have been developed. Among them, the methods based on stochastic process theory have given rise to a paradigm where inferences and predictions can be made on the mechanisms that drive changes in social structure.

Informal Caregiving and Social Capital: A Social Network Perspective

2020 ◽  
Vol 42 (9-10) ◽  
pp. 272-280 ◽  
Author(s):  
Adam R. Roth
Keyword(s):  
Older Adults ◽  
Social Network ◽  
Social Relationships ◽  
Social Life ◽  
Social Ties ◽  
Well Being ◽  
Personal Networks ◽  
Personal Network ◽  
Network Change ◽  
Bonding Capital

A large literature emphasizes the importance of social relationships during the caregiving process. Yet these issues are seldom presented in a social network framework that examines the structure of caregivers’ personal networks. In this study, I examine how older caregivers experience changes in personal network structure. Using two waves from the National Social Life, Health, and Aging Project, I investigate whether caregivers are more or less likely to exhibit bridging or bonding capital potential compared to noncaregivers. I find that older adults transitioning into caregiving are more likely to develop the ability to bridge social ties within their personal networks than noncaregivers despite potential constraints in their personal freedom. Caregivers in the latter stages, meanwhile, do not differ from noncaregivers in terms of network change. These findings have implications for older adults’ potential to pool resources across social domains as well as negotiate stress and well-being during the caregiving process.

scholarly journals Social Relationships and Functional Impairment in Aging Cancer Survivors: A Longitudinal Social Network Study

2019 ◽  
Vol 60 (4) ◽  
pp. 607-616 ◽  
Author(s):  
Jennifer L Guida ◽  
Cheryl L Holt ◽  
Cher M Dallal ◽  
Xin He ◽  
Robert Gold ◽  
...  
Keyword(s):  
Older Adults ◽  
Social Network ◽  
Cancer Survivors ◽  
Functional Impairment ◽  
Social Life ◽  
Community Dwelling ◽  
Protective Effects ◽  
Major Life Events ◽  
Major Life ◽  
Adult Cancer Survivors

Abstract Background and Objectives The intersection of cancer, treatment, and aging accelerates functional decline. Social networks, through the provision of social support and resources, may slow the progression of functional deterioration. Socioemotional selectivity theory posits that aging and major life events, like cancer, cause an intentional social network pruning to procure and maintain emotionally fulfilling bonds, while shedding weaker, less supportive relationships. However, it is relatively unknown if such network changes impact functional impairment in cancer survivors. This study examined the relationships between changes in the egocentric social network and functional impairment in older adult cancer survivors and a similarly aged group without cancer (older adults). Research Design and Methods Data were analyzed from 1,481 community dwelling older adults (n = 201 cancer survivors) aged 57–85 years, from Waves 1 and 2 (2005–2006 and 2010–2011) of the National Social Life, Health and Aging Project. Associations were analyzed with multiple logistic regression. Results Cancer survivors and older adults reported similar levels of functional impairment and social network change. Adding 2 new relationships exhibited protective effects against functional impairment, irrespective of cancer status (odds ratio [OR]: 0.64, 95% confidence interval [CI]: 0.41–0.99). Declines in frequent contact were associated with higher odds of functional impairment among cancer survivors (OR: 1.92, 95% CI: 1.15–3.20). Social network components were not significantly associated with functional impairment in older adults. Discussion and Implications Adding new relationships may reduce disability in older adults and increasing network contact may help cancer survivors remain independent. Social network interventions may improve quality of life for older adults.

Introduction

2020 ◽  
pp. xxii-13
Author(s):  
Ryan Light ◽  
James Moody
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Bibliometric Analysis ◽  
Social Life ◽  
New Directions ◽  
Central Paradigm

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.

The Oxford Handbook of Social Networks

2020 ◽  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Life ◽  
Information Science ◽  
Computational Social Science ◽  
The Social ◽  
Diverse Field ◽  
The Rich

Social networks fundamentally shape our lives. Networks channel the ways that information, emotions, and diseases flow through populations. Networks reflect differences in power and status in settings ranging from small peer groups to international relations across the globe. Network tools even provide insights into the ways that concepts, ideas and other socially generated contents shape culture and meaning. As such, the rich and diverse field of social network analysis has emerged as a central tool across the social sciences. This Handbook provides an overview of the theory, methods, and substantive contributions of this field. The thirty-three chapters move through the basics of social network analysis aimed at those seeking an introduction to advanced and novel approaches to modeling social networks statistically. The Handbook includes chapters on data collection and visualization, theoretical innovations, links between networks and computational social science, and how social network analysis has contributed substantively across numerous fields. As networks are everywhere in social life, the field is inherently interdisciplinary and this Handbook includes contributions from leading scholars in sociology, archaeology, economics, statistics, and information science among others.

scholarly journals Taking sociality seriously: the structure of multi-dimensional social networks as a source of information for individuals

2012 ◽  
Vol 367 (1599) ◽  
pp. 2108-2118 ◽  
Author(s):  
Louise Barrett ◽  
S. Peter Henzi ◽  
David Lusseau
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Life ◽  
The Other ◽  
Feedback Process ◽  
Cognitive Evolution ◽  
Systems Approaches ◽  
Entropy Measures ◽  
Free Ranging ◽  
Source Of Information

Understanding human cognitive evolution, and that of the other primates, means taking sociality very seriously. For humans, this requires the recognition of the sociocultural and historical means by which human minds and selves are constructed, and how this gives rise to the reflexivity and ability to respond to novelty that characterize our species. For other, non-linguistic, primates we can answer some interesting questions by viewing social life as a feedback process, drawing on cybernetics and systems approaches and using social network neo-theory to test these ideas. Specifically, we show how social networks can be formalized as multi-dimensional objects, and use entropy measures to assess how networks respond to perturbation. We use simulations and natural ‘knock-outs’ in a free-ranging baboon troop to demonstrate that changes in interactions after social perturbations lead to a more certain social network, in which the outcomes of interactions are easier for members to predict. This new formalization of social networks provides a framework within which to predict network dynamics and evolution, helps us highlight how human and non-human social networks differ and has implications for theories of cognitive evolution.

Space Syntax Approach for Articulating Space and Social Life

2019 ◽  
pp. 223-249 ◽  
Author(s):  
Abdelbaseer A. Mohamed
Keyword(s):  
Social Network ◽  
Urban Environment ◽  
Urban Space ◽  
Social Life ◽  
Spatial Configuration ◽  
Space Syntax ◽  
Urban Models ◽  
Spatial Measures ◽  
The Relationship ◽  
The Way

This chapter sets out to provide a detailed description of the relationship between space and society. It begins by discussing how people co-live in spaces and how such spaces co-live as communities. Understanding the relationship between space and society requires shedding light on how (1) communities emerge and work and (2) people build their social network. The chapter's main premise is that spatial configuration is the container of activities and the way we construct our cities influences our social life. Therefore, the urban environment should be analyzed mathematically using urban models in order to evaluate and predict future urban policies. The chapter reviews a space-people paradigm, Space Syntax. It defines, elaborates, and interprets its main concepts and tools, showing how urban space is modelled and described in terms of various spatial measures including connectivity, integration, depth, choice, and isovist properties.

Network Perspectives on the Past: Tackling the Challenges

2016 ◽  
Author(s):  
Tom Brughmans ◽  
Anna Collar
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Relations ◽  
Social Life ◽  
Academic Career ◽  
Special Method ◽  
The Past ◽  
Full Diversity ◽  
Strength Of Weak Ties

As his keynote address to the 1990 Sunbelt Social Networks conference, Mark Granovetter presented a paper entitled ‘The Myth of Social Network Analysis as a Special Method in the Social Sciences’ (Granovetter 1990). In it, he described how the popular social network theory he proposed, ‘The Strength of Weak Ties’ (Granovetter 1973), was like a spectre that haunted his academic career: although he subsequently pursued other research interests, he found that ‘as I got more deeply into any subject, network ideas kept coming in the back door’. He concluded that social network analysis (SNA) is not a ‘special’ method in social science, because ‘no part of social life can be properly analysed without seeing how it is fundamentally embedded in networks of social relations’ (Granovetter 1990: 15). However, he noted that to many, SNA is an alien concept: ‘we need to remember that there are many scholars outside the house of social network analysis who think in a relational way but don’t see the kinship with network methods and ideas’ (Granovetter 1990: 15). This observation echoes the current position of network studies in archaeology and history. Few would argue that relationships between social entities are not important for understanding past social processes. However, more explicit application of network theories and methods is not yet a mainstream part of our disciplines. Although it is the case that some researchers are not aware of the advantages such perspectives might offer, the current ‘niche’ status of network applications in archaeological and historical research relates to a more general misperception: that network concepts and methodologies per se are simply not appropriate for use in research in these disciplines. This volume aims to address both issues: the contributions in this volume demonstrate both the enormous potential of network methodologies, and also—and perhaps more importantly—acknowledge and address a range of perceived problems and reservations relating to the application of network perspectives to the study of the past, thereby encouraging and enabling their wider use in archaeology and history. The full diversity of network perspectives has only been introduced in our disciplines relatively recently.

Depressive Person Detection using Social Asian Elephants' (SAE) Algorithm over Twitter Posts

2019 ◽  
Vol 9 (4) ◽  
pp. 37-51
Author(s):  
Hadj Ahmed Bouarara
Keyword(s):  
Data Mining ◽  
Social Network ◽  
Decision Tree ◽  
Social Life ◽  
Naive Bayes ◽  
Data Sources ◽  
Asian Elephants ◽  
Person Detection ◽  
The Social ◽  
The Web

With the advent of the web and the explosion of data sources such as opinion sites, blogs and microblogs appeared the need to analyze millions of posts, tweets or opinions in order to find out what thinks the net surfers. The idea was to produce a new algorithm inspired by the social life of Asian elephants to detect a person in depressive situation through the analysis of twitter social network. The proposal algorithm gives better performance compared to data mining and bioinspired techniques such as naive Bayes, decision tree, heart lungs algorithm, social cockroach's algorithm.

Sign in / Sign up

Export Citation Format

Share Document