Social Networks and Labor Markets: How Strong Ties Relate to Job Finding on Facebook’s Social Network

2017 ◽  
Vol 35 (2) ◽  
pp. 485-518 ◽  
Author(s):  
Laura K. Gee ◽  
Jason Jones ◽  
Moira Burke
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Labor Markets ◽  
Strong Ties ◽  
Job Finding

Networks

2020 ◽  
pp. 534-562
Author(s):  
Matthew O. Jackson ◽  
Brian W. Rogers ◽  
Yves Zenou
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Statistical Analysis ◽  
Labor Markets ◽  
Network Formation ◽  
Labor Market Outcomes ◽  
Negative Consequences ◽  
Social Scientists ◽  
Market Outcomes

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.

scholarly journals Social networks, accessed and mobilised social capital and the employment status of older workers

2019 ◽  
Vol 39 (5/6) ◽  
pp. 356-375 ◽  
Author(s):  
Kaberi Gayen ◽  
Robert Raeside ◽  
Ronald McQuaid
Keyword(s):  
Social Capital ◽  
Social Networks ◽  
Social Network ◽  
Older People ◽  
Job Search ◽  
Older Workers ◽  
Weak Ties ◽  
Strong Ties ◽  
Content Type ◽  
The Social

Purpose The purpose of this paper is to demonstrate the importance of social networks, and the social capital embedded in them, to secure employment if someone had become unemployed after the age of 50 years and to reveal the process of accessing and mobilising that social capital. Design/methodology/approach A case study of a Scottish labour market was undertaken which involved an interview-based survey of those who became unemployed in their early 50’s and tried to regain employment. The interview had structured and unstructured parts which allowed both quantitative and qualitative analysis to compare those who were successful in regaining work with those who were not. The uniqueness of the paper is the use of social network components while controlling for other socio-economic and demographic variables in job search of older workers. Findings Those older people who were unemployed and, returned to employment (reemployed) had a higher proportion of contacts with higher prestige jobs, their job searching methods were mainly interpersonal and the rate of finding their last job via their social networks was higher than those who remained unemployed. Both groups mobilised social capital (MSC), but those reemployed accessed higher “quality” social capital. “Strong ties”, rather than “weak ties”, were found to be important in accessing and mobilising social capital for the older workers who returned to employment. Research limitations/implications This work is limited to a local labour market and is based on a small but informative sample. However, it does show that policy is required to allow older people to enhance their social networks by strengthening the social capital embedded in the networks. The results support the use of intermediaries as bridges to help compensate for older people who have weak social networks. Besides the policy implications, the paper also has two distinct research implications. First, the use of social network component to the existing literature of older workers’ job search. Second, exploring the type and relational strength with network members to explain older workers’ reemployment. Practical implications The paper illustrates that how accessed and MSC can be measured. Social implications As populations age, this work points to an approach to support older people to re-enter employment and to include them in society. Originality/value The paper extends social network and employment literature to fill gaps on how older people require to both access and mobilise social capital. The importance of “strong ties” in the reemployment of older workers contrasts with much of the literature on younger workers where the “strength of weak ties” so far has been regarded as essential for successful job search. Measures are forwarded to reveal the relevance of social capital. The policy value of the work is in suggesting ways to facilitate older people re-enter or remain in work and hence sustain their well-being.

The value of online friends: Networked resources via social network sites

First Monday ◽  
2011 ◽  
Author(s):  
Michael A. Stefanone ◽  
Kyounghee Kwon ◽  
Derek Lackaff
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Online Social Networks ◽  
Social Network Sites ◽  
Tie Strength ◽  
Weak Ties ◽  
Composite Measure ◽  
Strong Ties ◽  
Instrumental Value ◽  
Contact Frequency

This study investigated the instrumental value of resources embedded in online social networks. 49 primary participants solicited a total of 588 secondary participants who were asked to complete a modest task. Approximately 16 per cent of all secondary participants responded (N = 98) to the request. 8.5 per cent of weak ties responded and strong ties were about three times more likely to respond. Perceived reciprocity, contact frequency and a composite measure of tie strength were all positively related to enacted support.

scholarly journals Analysis of dynamic contact network of patients with COVID-19 in Shaanxi Province of China

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Zhangbo Yang
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Dynamic Contact ◽  
Shaanxi Province ◽  
Contact Network ◽  
Degree Centrality ◽  
Local Infection ◽  
Strong Ties ◽  
Infected People ◽  
Imported Cases

AbstractThe spread of COVID-19 is closely related to the structure of human social networks. Based on 237 cases, by using epidemiological retrospective statistics, data visualization, and social network analysis methods, this paper summarized characteristics of patients with COVID-19 in Shaanxi, China, and analyzed these patients’ dynamic contact network structure. The study found that there are many clustered infections through strong ties, about one-third of cases are caused by relatives' infection. In early stages of the epidemic, imported cases were the most, and in the later stages, local infection cases were the most. The infected people were mostly middle-aged men. Symptoms of imported cases occurred on average of 3 days after they arrived, and medical measures were taken 5 days later on average. All cases showed symptoms in less than 2 days on average and were then taken to medical treatment. The contact network can be divided into multiple disconnected components. The largest component has 12 patients. The average degree centrality in the network is 0.987, average betweenness degree is 0, average closeness degree is 0.452, and average PageRank index is 0.0042. The number of contacts of patients is unevenly distributed in the network.

With a Little Help from My Friends: Social-Network Job Search and Overqualification among Recent Intra-EU Migrants Moving from East to West

2020 ◽  
Vol 34 (5) ◽  
pp. 769-788 ◽  
Author(s):  
Janine Leschke ◽  
Silvana Weiss
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Language Proficiency ◽  
Job Search ◽  
Market Integration ◽  
Labour Force ◽  
Eastern European ◽  
Central Eastern ◽  
Job Finding ◽  
The Relationship

This article examines the relationship between social networks as a job-finding channel and overqualification among recent EU migrants from Central Eastern to Western European countries. Social networks composed of relatives, friends or acquaintances can facilitate access to employers and thereby enhance labour market integration. However, when labour markets are segmented, (co-ethnic) social networks might also contribute to locking migrants into sectors and occupations characterised by high migrant shares, increasing the probability of a mismatch between skills and occupations. Drawing on data from the special module on migrants and their descendants in the 2014 European Labour Force Survey, this article considers subjective and objective overqualification. The analysis reveals that finding jobs through social networks bears a higher risk of overqualification in general, and especially for recent Central Eastern European migrants. The results point to a complex relationship between social-network job search, sectoral segmentation and destination-country language proficiency.

Emotive Trending And Tracking of Tweets

2017 ◽  
Vol 7 (11) ◽  
pp. 25
Author(s):  
Sanjay Chhataru Gupta
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
The Social ◽  
The World ◽  
Complex Events

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.

Social Networks and Business Performance of Igbo Migrant Traders in Ibadan, South-West Nigeria

2014 ◽  
Vol 12 (2) ◽  
Author(s):  
Deborah O. Obor ◽  
Emeka E. Okafor
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Social Network ◽  
Social Exchange ◽  
Business Performance ◽  
Exploratory Research ◽  
Business Growth ◽  
South West ◽  
Key Informant ◽  
Depth Interviews

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.

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.

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