Projects per year
Abstract
In online support groups (OSGs), individuals build social connections in order to grant social support, especially reciprocal social support. Much research has been done around the support exchange behaviors and the content of support. Few have investigated the formation of reciprocal social support, especially in the context of social embedding where the social networks evolve. In this article, we aim to explain how reciprocal social support forms by testing and integrating the social science hypotheses into the modeling of the outside social networks. A series of simulation experiments have been conducted to test our hypotheses and the proposed models. The results show that our proposed models can well capture the reciprocal properties observed in real-world social networks, and our hypotheses can collectively explain the formation of reciprocal social support. By hypothesizing user behaviors of support exchange and modeling the outside social networks, our study advances the understanding of how users participate in online groups, either to give more or to receive more support.
| Original language | English |
|---|---|
| Pages (from-to) | 3370-3384 |
| Number of pages | 15 |
| Journal | IEEE Transactions on Computational Social Systems |
| Volume | 10 |
| Issue number | 6 |
| Online published | 2 Sept 2022 |
| DOIs | |
| Publication status | Published - Dec 2023 |
Funding
This work was supported in part by the National Natural Science Foundation of China (NSFC) under Grant 71904174 and Grant 71972164; in part by the Research Grants Council of the Hong Kong Special Administrative Region, China, under Grant 11218221; and in part by the Humanities and Social Science Basic Research Project of the Zhejiang University of Technology under Grant GB202002005.
Research Keywords
- Network models
- online support groups (OSGs)
- reciprocity
- social network
- social support
RGC Funding Information
- RGC-funded
Fingerprint
Dive into the research topics of 'The Formation of Reciprocal Social Support in Online Support Groups: A Network Modeling Approach'. Together they form a unique fingerprint.Projects
- 1 Finished
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GRF: Optimizing Interventions for Changing HIV Risk Behaviors via Temporal Link Prediction in MSM Social Networks
ZHANG, Q. (Principal Investigator / Project Coordinator), GAO, S. (Co-Investigator), Lau, J.T.-F. (Co-Investigator), LI, X. (Co-Investigator) & Tang, W. (Co-Investigator)
1/01/22 → 15/11/23
Project: Research