research-article

Understanding Relationship Overlapping on Social Network Sites: A Case Study of Weibo and Douban

Authors:

Ning GuAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 1, Issue CSCW

Article No.: 120, Pages 1 - 18

https://doi.org/10.1145/3134755

Published: 06 December 2017 Publication History

Abstract

Nowadays people have many overlapping relationships across different social network sites. Will the communication frequency of a relationship on a focal SNS increase or decrease after the corresponding parties begin interacting with each other on a new SNS? What kinds of relationships and parties on the focal SNS are more robust to relationship overlapping across different sites? We conducted a case study on two Chinese popular social network sites (Weibo and Douban). Our results indicate that relationships' interactions on a new SNS have negative effect on the parties' communication frequency on the focal SNS. The communication frequency of older relationships on the focal SNS is more susceptible to the influence of the interacting on the new SNS, while relationships with more common groups and more extensive posts are less likely to be influenced. Our findings imply opportunities for SNS designers to strengthen their existing fragile ties and help users to build much more robust relationships.

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Index Terms

Understanding Relationship Overlapping on Social Network Sites: A Case Study of Weibo and Douban
1. Human-centered computing
  1. Collaborative and social computing
    1. Empirical studies in collaborative and social computing

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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 1, Issue CSCW

November 2017

2095 pages

EISSN:2573-0142

DOI:10.1145/3171581

Editors:
Clifford Lampe
University of Michigan
,
Jeff Nichols
Google
,
Karrie Karahalios
University of Illinois Urbana-Champaign
,
Geraldine Fitzpatrick
Vienna University of Technology
,
Uichin Lee
KAIST
,
Andres Monroy-Hernandez
Snap Inc.
,
Wolfgang Stuerzlinger
Simon Fraser University

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Published: 06 December 2017

Published in PACMHCI Volume 1, Issue CSCW

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Cited By

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Shin HHuh JKwon BKim ICheon EKim HLee COakley I(2024)SkullID: Through-Skull Sound Conduction based Authentication for SmartglassesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642506(1-19)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642506
Mamish JGuo ACohen TRichey JZhang YHester J(2023)Interaction HarvestingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36108807:3(1-31)Online publication date: 27-Sep-2023
https://dl.acm.org/doi/10.1145/3610880
Huh JShin HKim HCheon ESong YLee COakley I(2023)WristAcousticProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35694736:4(1-34)Online publication date: 11-Jan-2023
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