Modeling Cohesiveness and Enmity for Signed Social Communities
2013-09-20
Loading...
View/Download File
Persistent link to this item
Statistics
View StatisticsJournal Title
Journal ISSN
Volume Title
Title
Modeling Cohesiveness and Enmity for Signed Social Communities
Alternative title
Authors
Published Date
2013-09-20
Publisher
Type
Report
Abstract
Social interactions can exhibit either positive or negative linkages, resulting in the abstraction of "signed graphs" or "signed social networks." The social balance theory implies that a signed social network tends to converge to a balanced state where all individuals are divided into two cohesive groups that are antagonistic to each other. In this paper, we take this implication as a premise, and model the cohesiveness within each community and the enmity between two communities. We evaluate our model using synthetic signed networks, online signed social networks, and the U.S. Senate Voting network, and demonstrate its effectiveness in modeling the cohesiveness and enmity.
Keywords
Description
Related to
Replaces
License
Series/Report Number
Technical Report; 13-029
Funding information
Isbn identifier
Doi identifier
Previously Published Citation
Other identifiers
Suggested citation
Luo, Pengkui; Zhang, Zhi-Li. (2013). Modeling Cohesiveness and Enmity for Signed Social Communities. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/215932.
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.