Young Adults’ Housing, Social Networks, and Residential Environment: An Analysis of Quantitative Empirical Data

1999 ◽  
pp. 107-172 ◽  
Author(s):  
Jan H. Marbach
Keyword(s):  
Social Networks ◽  
Young Adults ◽  
Empirical Data ◽  
Residential Environment

scholarly journals Topological measures for identifying and predicting the spread of complex contagions

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Douglas Guilbeault ◽  
Damon Centola
Keyword(s):  
Social Networks ◽  
Shortest Path ◽  
Empirical Data ◽  
Path Length ◽  
Centrality Measures ◽  
Social Phenomena ◽  
Node Centrality ◽  
Network Connectedness ◽  
Topological Measures ◽  
Definition Of

AbstractThe standard measure of distance in social networks – average shortest path length – assumes a model of “simple” contagion, in which people only need exposure to influence from one peer to adopt the contagion. However, many social phenomena are “complex” contagions, for which people need exposure to multiple peers before they adopt. Here, we show that the classical measure of path length fails to define network connectedness and node centrality for complex contagions. Centrality measures and seeding strategies based on the classical definition of path length frequently misidentify the network features that are most effective for spreading complex contagions. To address these issues, we derive measures of complex path length and complex centrality, which significantly improve the capacity to identify the network structures and central individuals best suited for spreading complex contagions. We validate our theory using empirical data on the spread of a microfinance program in 43 rural Indian villages.

The Application of Social Networking as a Marketing Platform to Young Adults

2011 ◽  
pp. 184-197
Author(s):  
Justin Henley Beneke
Keyword(s):  
Social Networks ◽  
Young Adults ◽  
Social Network ◽  
Young Adult ◽  
Social Networking ◽  
Word Of Mouth ◽  
Vested Interest ◽  
Symbiotic Relationship ◽  
Annual Basis ◽  
Word Of Mouth Communication

Social networking is often touted as being a prominent application responsible for driving the adoption of residential broadband services. The growth of social networks is phenomenal – in many cases more than doubling in size on an annual basis. This study considers how social networking may be utilized for commercial purposes to spread word-of-mouth communication. The chapter therefore considers the characteristics of young adult social network users, how they behave and interact with other users on such platforms, as well as the manner in which marketers can make the most of this platform without experiencing a consumer backlash. The research suggests that if a symbiotic relationship does indeed exist between broadband proliferation and the adoption of social networking, both have a vested interest in each other’s continued success.

Social networks and the employment of young people leaving care

2017 ◽  
Author(s):  
Xiaoyuan Shang ◽  
Karen R. Fisher
Keyword(s):  
Social Networks ◽  
Young Adults ◽  
Young Adult ◽  
Young People ◽  
Economic Transition ◽  
People With Disabilities ◽  
Job Placement ◽  
Welfare Institutions ◽  
The Government ◽  
Economic Transitions

This chapter illustrates how most young people in Chinese state care become state wards as very young children and have disabilities. When they reach adulthood, many of them remain unemployed. Before the economic transitions in the 1980s, the government provided most of these young people with jobs when they became young adults, or they gained employment in welfare enterprises with tax concessions to employ people with disabilities. After the economic transition, however, many welfare factories reduced their employees or closed down, and state directives for job placement were dismantled. The chapter shows how job placement for young adult orphans has become a challenge for child welfare institutions, and a bottleneck for the support of new children entering state care.

Young Adult Social Networks and Labour Market Attachment: Interpersonal Dynamics that Shape Perspectives on Job Attainment

2015 ◽  
Vol 44 (4) ◽  
pp. 769-786 ◽  
Author(s):  
JOHN R. GRAHAM ◽  
MICHEAL L. SHIER ◽  
MARILYN EISENSTAT
Keyword(s):  
Social Capital ◽  
Social Networks ◽  
Young Adults ◽  
Labour Market ◽  
Interpersonal Relationships ◽  
Social Mobility ◽  
Low Income ◽  
Personal Development ◽  
Racial Minority ◽  
Upward Social Mobility

AbstractFollowing a qualitative study design with young adults (aged seventeen to twenty-nine) of a racialised minority status (n= 36) in a low-income community in Toronto, Canada, we found that social relationships and dynamics greatly influenced perspectives towards labour market success. Respondents identified that interpersonal relationships with employers, family members and neighbourhood/community members influenced their perseverance and motivation for upward social mobility through securing and maintaining employment. The findings highlight the fundamental relationship between perceptions of upward social mobility and individual social capital. In particular, the wide array of social networks that can influence the perspectives of racial minority young adults – both positively and negatively. The findings extend contemporary discussions about the relationship between social capital and career aspirations among racial minority young adults, to include a spectrum of interrelated social networks that collectively aid in improving personal development. While contemporary discussions focus on the utility of informal knowledge sharing about career development and post-secondary attainment, the findings here demonstrate the importance of policy and programme solutions that support the mobilisation of a wider array of embedded social resources, within the social networks of racial minority young adults, that help support positive perceptions towards upward social mobility.

Marital Status and Career Stage Influences on Social Networks of Young Adults

1989 ◽  
Vol 51 (2) ◽  
pp. 521 ◽  
Author(s):  
Judith L. Fischer ◽  
Donna L. Sollie ◽  
Gwendolyn T. Sorell ◽  
Shelley K. Green
Keyword(s):  
Social Networks ◽  
Young Adults ◽  
Marital Status ◽  
Career Stage

scholarly journals Stance Taking in Social Media: the Analysis of the Comments About Us Presidential Candidates on Facebook and Twitter

Verbum ◽  
2018 ◽  
Vol 9 ◽  
pp. 21-30
Author(s):  
Roma Kriaučiūnienė ◽  
Jefferey La Roux ◽  
Miglė Lauciūtė
Keyword(s):  
Social Networks ◽  
Data Analysis ◽  
Empirical Data ◽  
Presidential Election ◽  
The United States ◽  
Online Environment ◽  
Presidential Candidates ◽  
Du Bois ◽  
Empirical Data Analysis ◽  
The Many

[full article and abstract in English] The subject of the paper is the analysis of the expression of stance taking in an online environment, mainly in the comments of users of social networks such as Facebook and Twitter about the presidential candidates of the American Presidential Election in 2016. The empirical data analysis was carried out following the ideas of J. W. Du Bois (2007), D. Barton & C. Lee (2013) and R. Englebretson (2007) on stance taking and J. W. Du Bois’ (2007) model of stance triangle, i.e. grouping instances of stance-taking into one of these groups: evaluation, affect or epistemicity, which served as the main framework of this study. The work of linguists D. Barton & C. Lee (2013) on the expression of stance-taking in an online environment were also taken into consideration. Having in mind the fact that stance identification is a challenging task , i.e. it could be implicitly as well as explicitly expressed and that it should be inferred from different modes of its expression and interpreted with reference to many contextual and intertextual factors, in the current analysis the authors focused on interpretation of linguistic as well as other multimodal means of the expression of stance that were used by users of social networks in their writing spaces on the topic of the Presidential Election in the United States in 2016. It should also be mentioned that the analysis presented in this article offers only one of the many possible interpretations of the data. Moreover, the current paper concentrates mainly on the presentation of the empirical data of the expression of affective stance. However, it should be indicated that in some cases stance types overlap, i.e. one instance could be treated as both taking an affective and an evaluative stance, as judgements and evaluation (i.e. evaluative stance) are often based on feelings (i.e. affective stance). The main source of the empirical data were the instances of stance taking taken from comments found on Donald Trump’s and Hillary Clinton’s verified Facebook and Twitter pages during their presidential campaigns in 2016. All in all, 147 examples of posts and comments from the social networks Facebook and Twitter were collected: 72 comments incorporating stance taking on Donald Trump‘s posts, and 75 comments including stance taking on Hillary Clinton‘s posts. The results of the empirical data analysis showed that the affective stance was expressed by linguistic as well as multimodal means.

scholarly journals Data-driven modeling of leading-following behavior in Bechstein’s bats

2019 ◽  
Author(s):  
Pavlin Mavrodiev ◽  
Daniela Fleischmann ◽  
Gerald Kerth ◽  
Frank Schweitzer
Keyword(s):  
Social Networks ◽  
Empirical Data ◽  
The Other ◽  
Data Driven ◽  
Data Sets ◽  
Individual Preferences ◽  
Empirical Information ◽  
Communal Roosting ◽  
Data Driven Modeling

AbstractLeading-following behaviour in Bechstein’s bats transfers information about suitable roost sites from experienced to inexperienced individuals, and thus ensures communal roosting. We analyze 9 empirical data sets about individualized leading-following (L/F) events, to infer rules that likely determine the formation of L/F pairs. To test these rules, we propose five models that differ regarding the empirical information taken into account to form L/F pairs: activity of a bat in exploring possible roosts, tendency to lead and to follow. The comparison with empirical data was done by constructing social networks from the observed L/F events, on which centralities were calculated to quantify the importance of individuals in these L/F networks. The centralities from the empirical network are then compared for statistical differences with the model-generated centralities obtained from 105 model realizations. We find that two models perform well in comparison with the empirical data: One model assumes an individual tendency to lead, but chooses followers at random. The other model assumes an individual tendency to follow and chooses leaders according to their overall activity. We note that neither individual preferences for specific individuals, nor other influences such as kinship or reciprocity, are taken into account to reproduce the empirical findings.

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