Towards Exploring the Influence of Community Structures on Information Dissemination in Sina Weibo Networks
The power of online social networks to propagate information within communities and from one community to the next is undeniable. Both network structure and information propagation affect each other; they restrict and cooperate with each other. However, they can also dynamically reshape the network...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2021/8325302 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832556521592979456 |
|---|---|
| author | Zhiwei Zhang Aidong Fang Lin Cui Zhenggao Pan Wanli Zhang Chengfang Tan Chao Wang |
| author_facet | Zhiwei Zhang Aidong Fang Lin Cui Zhenggao Pan Wanli Zhang Chengfang Tan Chao Wang |
| author_sort | Zhiwei Zhang |
| collection | DOAJ |
| description | The power of online social networks to propagate information within communities and from one community to the next is undeniable. Both network structure and information propagation affect each other; they restrict and cooperate with each other. However, they can also dynamically reshape the network topology of user’s social relationship in this process. The above process ultimately forms a feedback loop: the network structure affects how information spreads, while information propagation reshapes network topologies, so both evolve in concert over time. Using information propagation trees (IPT) of posts from the Sina Weibo microblogging site, we conducted a null model-based analysis to determine the influence of community structures on information propagation. We first generated randomized copies of the IPTs and then mined community structures from the originals and copies for comparison. An in-depth examination of the results in terms of improved significant profile, the length of information propagation path, and the relevance of the nodes in the propagation path indirectly reveals the inhibitory effect of community structures on information propagation. |
| format | Article |
| id | doaj-art-a02fb705b9244a5480890a4c5e692385 |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-a02fb705b9244a5480890a4c5e6923852025-02-03T05:45:10ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2021-01-01202110.1155/2021/83253028325302Towards Exploring the Influence of Community Structures on Information Dissemination in Sina Weibo NetworksZhiwei Zhang0Aidong Fang1Lin Cui2Zhenggao Pan3Wanli Zhang4Chengfang Tan5Chao Wang6School of Informatics and Engineering, Suzhou University, Suzhou, ChinaSchool of Informatics and Engineering, Suzhou University, Suzhou, ChinaSchool of Informatics and Engineering, Suzhou University, Suzhou, ChinaSchool of Informatics and Engineering, Suzhou University, Suzhou, ChinaSchool of Informatics and Engineering, Suzhou University, Suzhou, ChinaSchool of Informatics and Engineering, Suzhou University, Suzhou, ChinaSchool of Informatics and Engineering, Suzhou University, Suzhou, ChinaThe power of online social networks to propagate information within communities and from one community to the next is undeniable. Both network structure and information propagation affect each other; they restrict and cooperate with each other. However, they can also dynamically reshape the network topology of user’s social relationship in this process. The above process ultimately forms a feedback loop: the network structure affects how information spreads, while information propagation reshapes network topologies, so both evolve in concert over time. Using information propagation trees (IPT) of posts from the Sina Weibo microblogging site, we conducted a null model-based analysis to determine the influence of community structures on information propagation. We first generated randomized copies of the IPTs and then mined community structures from the originals and copies for comparison. An in-depth examination of the results in terms of improved significant profile, the length of information propagation path, and the relevance of the nodes in the propagation path indirectly reveals the inhibitory effect of community structures on information propagation.http://dx.doi.org/10.1155/2021/8325302 |
| spellingShingle | Zhiwei Zhang Aidong Fang Lin Cui Zhenggao Pan Wanli Zhang Chengfang Tan Chao Wang Towards Exploring the Influence of Community Structures on Information Dissemination in Sina Weibo Networks Discrete Dynamics in Nature and Society |
| title | Towards Exploring the Influence of Community Structures on Information Dissemination in Sina Weibo Networks |
| title_full | Towards Exploring the Influence of Community Structures on Information Dissemination in Sina Weibo Networks |
| title_fullStr | Towards Exploring the Influence of Community Structures on Information Dissemination in Sina Weibo Networks |
| title_full_unstemmed | Towards Exploring the Influence of Community Structures on Information Dissemination in Sina Weibo Networks |
| title_short | Towards Exploring the Influence of Community Structures on Information Dissemination in Sina Weibo Networks |
| title_sort | towards exploring the influence of community structures on information dissemination in sina weibo networks |
| url | http://dx.doi.org/10.1155/2021/8325302 |
| work_keys_str_mv | AT zhiweizhang towardsexploringtheinfluenceofcommunitystructuresoninformationdisseminationinsinaweibonetworks AT aidongfang towardsexploringtheinfluenceofcommunitystructuresoninformationdisseminationinsinaweibonetworks AT lincui towardsexploringtheinfluenceofcommunitystructuresoninformationdisseminationinsinaweibonetworks AT zhenggaopan towardsexploringtheinfluenceofcommunitystructuresoninformationdisseminationinsinaweibonetworks AT wanlizhang towardsexploringtheinfluenceofcommunitystructuresoninformationdisseminationinsinaweibonetworks AT chengfangtan towardsexploringtheinfluenceofcommunitystructuresoninformationdisseminationinsinaweibonetworks AT chaowang towardsexploringtheinfluenceofcommunitystructuresoninformationdisseminationinsinaweibonetworks |