scholarly journals Social network structure and composition in former NFL football players

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Amar Dhand ◽  
Liam McCafferty ◽  
Rachel Grashow ◽  
Ian M. Corbin ◽  
Sarah Cohan ◽  
...  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Network Structure ◽  
National Football League ◽  
Treatment Options ◽  
Network Size ◽  
Brain Trauma ◽  
Future Research ◽  
Football Players ◽  
Contact Sports

AbstractSocial networks have broad effects on health and quality of life. Biopsychosocial factors may also modify the effects of brain trauma on clinical and pathological outcomes. However, social network characterization is missing in studies of contact sports athletes. Here, we characterized the personal social networks of former National Football League players compared to non-football US males. In 303 former football players and 269 US males, we found that network structure (e.g., network size) did not differ, but network composition (e.g., proportion of family versus friends) did differ. Football players had more men than women, and more friends than family in their networks compared to US males. Black players had more racially diverse networks than White players and US males. These results are unexpected because brain trauma and chronic illnesses typically cause diminished social relationships. We anticipate our study will inform more multi-dimensional study of, and treatment options for, contact sports athletes. For example, the strong allegiances of former athletes may be harnessed in the form of social network interventions after brain trauma. Because preserving health of contact sports athletes is a major goal, the study of social networks is critical to the design of future research and treatment trials.

scholarly journals Head-to-Head Comparison of Social Network Assessments in Stroke Survivors

2020 ◽  
Vol 11 (1) ◽  
pp. 18-24
Author(s):  
Morgan Prust ◽  
Abby Halm ◽  
Simona Nedelcu ◽  
Amber Nieves ◽  
Amar Dhand
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Social Network ◽  
Social Isolation ◽  
Network Structure ◽  
Network Size ◽  
Personal Network ◽  
Mapping Tool ◽  
Social Network Structure ◽  
Network Mapping

Background and Purpose: Social networks influence human health and disease through direct biological and indirect psychosocial mechanisms. They have particular importance in neurologic disease because of support, information, and healthy behavior adoption that circulate in networks. Investigations into social networks as determinants of disease risk and health outcomes have historically relied on summary indices of social support, such as the Lubben Social Network Scale–Revised (LSNS-R) or the Stroke Social Network Scale (SSNS). We compared these 2 survey tools to personal network (PERSNET) mapping tool, a novel social network survey that facilitates detailed mapping of social network structure, extraction of quantitative network structural parameters, and characterization of the demographic and health parameters of each network member. Methods: In a cohort of inpatient and outpatient stroke survivors, we administered LSNS-R, SSNS, and PERSNET in a randomized order to each patient. We used logistic regression to generate correlation matrices between LSNS-R scores, SSNS scores, and PERSNET’s network structure (eg, size and density) and composition metrics (eg, percent kin in network). We also examined the relationship between LSNS-R-derived risk of social isolation with PERSNET-derived network size. Results: We analyzed survey responses for 67 participants and found a significant correlation between LSNS-R, SSNS, and PERSNET-derived indices of network structure. We found no correlation between LSNS-R, SSNS, and PERSNET-derived metrics of network composition. Personal network mapping tool structural and compositional variables were also internally correlated. Social isolation defined by LSNS-R corresponded to a network size of <5. Conclusions: Personal network mapping tool is a valid index of social network structure, with a significant correlation to validated indices of perceived social support. Personal network mapping tool also captures a novel range of health behavioral data that have not been well characterized by previous network surveys. Therefore, PERSNET offers a comprehensive social network assessment with visualization capabilities that quantifies the social environment in a valid and unique manner.

scholarly journals Social Network Structure Is Related to Functional Improvement From Home-Based Telerehabilitation After Stroke

2021 ◽  
Vol 12 ◽  
Author(s):  
Archana Podury ◽  
Sophia M. Raefsky ◽  
Lucy Dodakian ◽  
Liam McCafferty ◽  
Vu Le ◽  
...  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Depressive Symptoms ◽  
Network Structure ◽  
Network Size ◽  
Network Density ◽  
Stroke Patients ◽  
Historical Cohort ◽  
Home Based ◽  
Social Network Structure

Objective: Telerehabilitation (TR) is now, in the context of COVID-19, more clinically relevant than ever as a major source of outpatient care. The social network of a patient is a critical yet understudied factor in the success of TR that may influence both engagement in therapy programs and post-stroke outcomes. We designed a 12-week home-based TR program for stroke patients and evaluated which social factors might be related to motor gains and reduced depressive symptoms.Methods: Stroke patients (n = 13) with arm motor deficits underwent supervised home-based TR for 12 weeks with routine assessments of motor function and mood. At the 6-week midpoint, we mapped each patient's personal social network and evaluated relationships between social network metrics and functional improvements from TR. Finally, we compared social networks of TR patients with a historical cohort of 176 stroke patients who did not receive any TR to identify social network differences.Results: Both network size and network density were related to walk time improvement (p = 0.025; p = 0.003). Social network density was related to arm motor gains (p = 0.003). Social network size was related to reduced depressive symptoms (p = 0.015). TR patient networks were larger (p = 0.012) and less dense (p = 0.046) than historical stroke control networks.Conclusions: Social network structure is positively related to improvement in motor status and mood from TR. TR patients had larger and more open social networks than stroke patients who did not receive TR. Understanding how social networks intersect with TR outcomes is crucial to maximize effects of virtual rehabilitation.

scholarly journals Diversity and Consequences of Social Network Structure in Toothed Whales

2021 ◽  
Vol 8 ◽  
Author(s):  
Michael N. Weiss ◽  
Samuel Ellis ◽  
Darren P. Croft
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Network Structure ◽  
Disease Transmission ◽  
Disease Risk ◽  
Social Systems ◽  
Large Body ◽  
Future Research ◽  
Social Network Structure ◽  
Survival And Reproduction

Toothed whales (suborder Odontoceti) are highly social, large brained mammals with diverse social systems. In recent decades, a large body of work has begun investigating these dynamic, complex societies using a common set of analytical tools: social network analysis. The application of social network theory to toothed whales enables insight into the factors that underlie variation in social structure in this taxon, and the consequences of these structures for survival, reproduction, disease transmission, and culture. Here, we perform a systematic review of the literature regarding toothed whale social networks to identify broad patterns of social network structure across species, common drivers of individual social position, and the consequences of network structure for individuals and populations. We also identify key knowledge gaps and areas ripe for future research. We recommend that future studies attempt to expand the taxonomic breadth and focus on standardizing methods and reporting as much as possible to allow for comparative analyses to test evolutionary hypotheses. Furthermore, social networks analysis may provide key insights into population dynamics as indicators of population health, predictors of disease risk, and as direct drivers of survival and reproduction.

scholarly journals Social Network Characteristics and Their Associations With Stress in Older Adults: Closure and Balance in a Population-Based Sample

2019 ◽  
Vol 75 (7) ◽  
pp. 1573-1584
Author(s):  
Lea Ellwardt ◽  
Rafael P M Wittek ◽  
Louise C Hawkley ◽  
John T Cacioppo
Keyword(s):  
Older Adults ◽  
Social Networks ◽  
Social Network ◽  
Perceived Stress ◽  
Social Relations ◽  
Population Based ◽  
Network Size ◽  
Future Research ◽  
Analytical Strategy ◽  
Random Effects Models

Abstract Objectives Integration into social networks reduces stress during adverse life events and improves coping with disability in late life. The aim was to investigate whether social network closure (frequent contact among ties) and balance (positive contact among ties) are associated with perceived stress. We expect lowest stress for older adults with highly closed and balanced networks. Method Panel data on self-reported egocentric networks stem from the population-based Chicago Health, Aging, and Social Relations Study. Five waves were collected between 2002 and 2006, with 708 observations from 160 participants aged 50–68 years at baseline. Data include information on the participants’ social relationships, that is, interaction frequency and relationship quality, for ego–alter ties and alter–alter ties, and participants’ perceived stress. The analytical strategy used fixed- and random-effects models. Results Participants reporting the highest number of balanced relationships (positive ties among alters) experience least stress. This effect holds independently of sociodemographic confounders, loneliness, and network size. Discussion The absence of a stress-reducing effect from network closure suggests that balance matters more. Future research would benefit from considering balance when examining the characteristics of social networks that impinge on mental health outcomes in older adults.

scholarly journals Inequality is rising where social network segregation interacts with urban topology

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Gergő Tóth ◽  
Johannes Wachs ◽  
Riccardo Di Clemente ◽  
Ákos Jakobi ◽  
Bence Ságvári ◽  
...  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Network Structure ◽  
Urban Geography ◽  
Online Social Network ◽  
Stage Model ◽  
Significant Relationships ◽  
Social Segregation ◽  
Social Network Structure ◽  
Physical Barriers

AbstractSocial networks amplify inequalities by fundamental mechanisms of social tie formation such as homophily and triadic closure. These forces sharpen social segregation, which is reflected in fragmented social network structure. Geographical impediments such as distance and physical or administrative boundaries also reinforce social segregation. Yet, less is known about the joint relationships between social network structure, urban geography, and inequality. In this paper we analyze an online social network and find that the fragmentation of social networks is significantly higher in towns in which residential neighborhoods are divided by physical barriers such as rivers and railroads. Towns in which neighborhoods are relatively distant from the center of town and amenities are spatially concentrated are also more socially segregated. Using a two-stage model, we show that these urban geography features have significant relationships with income inequality via social network fragmentation. In other words, the geographic features of a place can compound economic inequalities via social networks.

Networking as a Job-Search Behavior and Career Management Strategy

2014 ◽  
Author(s):  
Monica L. Forret
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Job Search ◽  
Management Strategy ◽  
Search Behavior ◽  
Career Management ◽  
Future Research ◽  
Job Seekers ◽  
Job Search Behavior ◽  
New Jobs

Networking is often cited as a key to job-search success; however, relatively little scholarly research on networking as a job-search behavior exists. The purpose of this chapter is to review the literature on networking and its relevance for job-search success and career management more broadly. The use of networking for both obtaining new jobs at different employers as well as advancing upward in one’s current organization is considered. This chapter describes the importance of networking for developing career competencies, how networking can enhance a job seeker’s social network, and barriers faced by women and minorities in building their social networks. The multiple ways in which networking has been measured are described, along with the antecedents and outcomes of networking behavior pertinent to job seekers. This chapter discusses the implications of networking as a job-search behavior for job seekers, career counselors, and organizations and concludes with future research suggestions for scholars.

scholarly journals Social Network Analysis Visualization

2015 ◽  
pp. 257-270
Author(s):  
Mohana Shanmugam ◽  
Yusmadi Yah Jusoh ◽  
Rozi Nor Haizan Nor ◽  
Marzanah A. Jabar
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Online Social Network ◽  
Future Research ◽  
Research Gaps ◽  
The Social ◽  
Network Studies ◽  
Academic Study

The social network surge has become a mainstream subject of academic study in a myriad of disciplines. This chapter posits the social network literature by highlighting the terminologies of social networks and details the types of tools and methodologies used in prior studies. The list is supplemented by identifying the research gaps for future research of interest to both academics and practitioners. Additionally, the case of Facebook is used to study the elements of a social network analysis. This chapter also highlights past validated models with regards to social networks which are deemed significant for online social network studies. Furthermore, this chapter seeks to enlighten our knowledge on social network analysis and tap into the social network capabilities.

scholarly journals Balancing User Profile and Social Network Structure for Anchor Link Inferring Across Multiple Online Social Networks

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 12031-12040 ◽  
Author(s):  
Jiangtao Ma ◽  
Yaqiong Qiao ◽  
Guangwu Hu ◽  
Yongzhong Huang ◽  
Meng Wang ◽  
...  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Network Structure ◽  
Online Social Networks ◽  
User Profile ◽  
Social Network Structure

Social Networks and Terrorism

2011 ◽  
pp. 232-246 ◽  
Author(s):  
David Knoke
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Data Collection ◽  
Case Studies ◽  
Recent Case ◽  
Future Research ◽  
Data Collection And Analysis ◽  
Tools And Methods

This chapter explains how international terror networks, consisting of individuals and organizations spanning countries and continents, form and evolve. It describes tools and methods used by social network analysts to study such networks; their applications by counterterrorist organizations; their limitations and problems in data collection and analysis; and directions for future research. It also discusses a few recent case studies by prominent researchers.

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