scholarly journals Social network pressure on women and men to enter a romantic relationship and fear of being single

2021 ◽  
Vol 15 (2) ◽  
pp. 246-261
Author(s):  
Susan Sprecher ◽  
Diane Felmlee
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Gender Difference ◽  
Emerging Adulthood ◽  
Romantic Relationship ◽  
Social Pressure ◽  
Men And Women ◽  
The U.S

The romantic dyad is emphasized in society, which leads to the question of whether single (non-partnered) adults in emerging adulthood perceive pressure from their social network members to become partnered. The first purpose of this study was to examine the degree of pressure to enter a relationship that single (unattached) men and women perceive that they receive from two social networks (parents/family and friends) and whether there is a gender difference in this degree of pressure to partner. The second purpose was to examine how social pressure to partner is associated with the fear of being single (FOBS). A sample of 616 single (unpartnered) adults ages 18 to 30, primarily from the U.S., reported some degree of network pressure to enter a relationship on average. Greater pressure to become partnered was perceived from parents/family than from friends. Women scored higher than men on an index of social pressure from parents/family to enter a relationship and also higher on an index measuring FOBS. Social network pressure to enter a relationship was associated with a greater FOBS for both men and women.

scholarly journals Detecting Bots and Assessing Their Impact in Social Networks

2021 ◽  
Author(s):  
Nicolas Guenon des Mesnards ◽  
David Scott Hunter ◽  
Zakaria el Hjouji ◽  
Tauhid Zaman
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Statistical Physics ◽  
Opinion Dynamics ◽  
Data Sets ◽  
Social Network Data ◽  
Operational Capabilities ◽  
Dynamics Models ◽  
The Impact ◽  
The U.S

Bots Impact Opinions in Social Networks: Let’s Measure How Much There is a serious threat posed by bots that try to manipulate opinions in social networks. In “Assessing the Impact of Bots on Social Networks,” Nicolas Guenon des Mesnards, David Scott Hunter, Zakaria el Hjouiji, and Tauhid Zaman present a new set of operational capabilities to detect these bots and measure their impact. They developed an algorithm based on the Ising model from statistical physics to find coordinating gangs of bots in social networks. They then created an algorithm based on opinion dynamics models to quantify the impact that bots have on opinions in a social network. They applied their algorithms to a variety of real social network data sets. They found that, for topics such as Brexit, the bots had little impact, whereas for topics such as the U.S. presidential debate and the Gilets Jaunes protests in France, the bots had a significant impact.

scholarly journals Social Network Types and Depressive Symptoms among Older Korean Men and Women

2021 ◽  
Vol 18 (21) ◽  
pp. 11175
Author(s):  
Kyung-Won Choi ◽  
Gyeong-Suk Jeon
Keyword(s):  
Older Adults ◽  
Social Networks ◽  
Social Network ◽  
Depressive Symptoms ◽  
Living Arrangements ◽  
Network Size ◽  
Multivariable Logistic Regression Analysis ◽  
Men And Women ◽  
The Social ◽  
The Impact

This study explores the social network types of older Korean men and women, and the relationship of those networks to depressive symptoms. A population of 4608 older adults who participated in the Living Profiles of Older People Survey (LPOPS) were included in the study. Seven criterion variables—marital status, living arrangements, frequency of contact with children, close friends, and close relatives, participation in social activities, and total network size—were included in a K-means cluster analysis. Multivariable logistic regression analysis of the impact of social network type on depressive symptoms was conducted. We identified two “diverse type” social networks (diverse-married and diverse-unmarried) in women, and one diverse type and one “social-activity-focused type” network in men. Family focused type and two “restricted type” social networks (restricted-couple-focused, and restricted-unmarried) were identified in both men and women. The restricted-unmarried and restricted-couple-focused networks were associated with more depressive symptoms in both men and women. However, the family focused type was associated with more depressive symptoms only in women. The results indicated that social network types, and their impact on depressive symptoms, differ by gender. There is a need for further research on gender differences in the social network types of older adults across diverse cultures.

scholarly journals Influence of Social Networks on Family Planning Use among Married Men and Women: A Case of Mvomero District, Tanzania

2021 ◽  
pp. 210-221
Author(s):  
Harrieth G. Mtae
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Family Planning ◽  
Quantitative Data ◽  
Simple Random Sampling ◽  
Married Women ◽  
Men And Women ◽  
Married Men ◽  
Multistage Sampling ◽  
Key Informant Interview

This paper was about the influence of social network on family planning (FP use among married men and women) in Mvomero District of Morogoro Region. The study employed the cross section study design, involving 128 married men and women. The choice of respondents was done through multistage sampling which involved purposive and simple random sampling techniques. Interview and focus group discussions were used as the methods of data collection. Quantitative data was collected using semi structured questionnaire and qualitative data were collected using FGDs guide and key informant interview guide. Quantitative data was analysed using descriptive statistics. The findings reveal that majority of married men and women in Mvomero were still young, having at least a primary school education and in monogamous marriage. Nearly one third of them were not using any FP methods and of the methods used, pills and injectables dominated. Most married men and women had social networks of both males and females, though most married women had more females and married men had more males in their networks. Further, Married women tended to discuss more on FP use with their social networks than married men (especially pills and injectables). However, nearly all social network members encouraged married men and women to use family planning which is a commendable thing to do. It is therefore recommended that interventions targeting to increase FP information and therefore use among married men and women through social networks should be designed and implemented targeting both females and males. There is also a need to encourage men to participate fully in FP, reproductive and health issues as in most of the households in Tanzania, they are the decision makers. It is expected that through their participation, they will support and encourage their partners to use FP methods.

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.

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.

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.

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