Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/146337
Title: Effects of user behaviors on accumulation of social capital in an online social network
Authors: Rykov, Yuri
Koltsova, Olessia
Sinyavskaya, Yadviga
Keywords: Science::Medicine
Issue Date: 2020
Source: Rykov, Y., Koltsova, O., & Sinyavskaya, Y. (2020). Effects of user behaviors on accumulation of social capital in an online social network. PLoS ONE, 15(4), e0231837-. doi:10.1371/journal.pone.0231837
Journal: PLoS ONE 
Abstract: The use of social network sites helps people to make and maintain social ties accumulating social capital, which is increasingly important for individual success. There is a wide variation in the amount and structure of online ties, and to some extent this variation is contingent on specific online user behaviors which are to date under-researched. In this work, we examine an entire city-bounded friendship network (N = 194,601) extracted from VK social network site to explore how specific online user behaviors are related to structural social capital in a network of geographically proximate ties. Social network analysis was used to evaluate individual social capital as a network asset, and multiple regression analysis-to determine and estimate the effects of online user behaviors on social capital. The analysis reveals that the graph is both clustered and highly centralized which suggests the presence of a hierarchical structure: a set of sub-communities united by city-level hubs. Against this background, membership in more online groups is positively associated with user's brokerage in the location-bounded network. Additionally, the share of local friends, the number of received likes and the duration of SNS use are associated with social capital indicators. This contributes to the literature on the formation of online social capital, examined at the level of a large and geographically localized population.
URI: https://hdl.handle.net/10356/146337
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0231837
Schools: Lee Kong Chian School of Medicine (LKCMedicine) 
Research Centres: Centre for Population Health Sciences 
Rights: © 2020 Rykovet al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:LKCMedicine Journal Articles

Files in This Item:
File Description SizeFormat 
pone.0231837.pdf584.7 kBAdobe PDFThumbnail
View/Open

SCOPUSTM   
Citations 20

10
Updated on May 25, 2023

Web of ScienceTM
Citations 20

9
Updated on May 26, 2023

Page view(s)

210
Updated on May 30, 2023

Download(s) 50

78
Updated on May 30, 2023

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.