Trust and Closeness: A Mixed Method for Understanding the Relationship of Social Network Users

Simple item page
dc.contributor.authorYang, Lei
dc.contributor.authorWang, Xue
dc.contributor.authorLuo, Margaret Meiling
dc.date.accessioned2020-12-24T19:37:38Z
dc.date.available2020-12-24T19:37:38Z
dc.date.issued2021-01-05
dc.description.abstractMutual trust among social network users encourages positive communications; it is critical to study trust in the context of online social networks. We built a trust model and crawled data according to a closeness index. Data was collected from Qzone, an SN service (also known as QQ) in China. We identified 150 QQ users and 3 friends from each of the users; data of these users were collected by Python program. The relationship between trust and closeness was constructed using an ordinary least squares regression model, and the factors that influence trust between social network users were constructed using an endogenous switching regression model. We found that user trust and closeness are positively correlated. A user’s trust is positively related to three closeness indicators: comments, @s to QQ friends (a reminder nudge for attention), and messages. Increasing closeness in social networks has a positive effect on trust formation.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2021.373
dc.identifier.isbn978-0-9981331-4-0
dc.identifier.urihttp://hdl.handle.net/10125/70987
dc.language.isoEnglish
dc.relation.ispartofProceedings of the 54th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectSocial Networking and Communities
dc.subjectcloseness
dc.subjectendogenous switching regression
dc.subjectsocial network
dc.subjecttrust
dc.titleTrust and Closeness: A Mixed Method for Understanding the Relationship of Social Network Users
prism.startingpage3067

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
0300.pdf
Size:
218.95 KB
Format:
Adobe Portable Document Format
Download

Collections

Social Networking and Communities