Am i more similar to my followers or followees? Analyzing homophily effect in directed social networks

Mohammad Ali Abbasi, Reza Zafarani, Jiliang Tang, Huan Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Homophily is the formation of social ties between two individuals due to similar characteristics or interests. Based on homophily, in a social network it is expected to observe a higher degree of homogeneity among connected than disconnected people. Many researchers use this simple yet effective principal to infer users' missing information and interests based on the information provided by their neighbors. In a directed social network, the neighbors can be further divided into followers and followees. In this work, we investigate the homophily effect in a directed network. To explore the homophily effect in a directed network, we study if a user's personal preferences can be inferred from those of users connected to her (followers or followees). We investigate which of followers or followees are more effective in helping to infer users' personal preferences. Our findings can help to raise the awareness of users over their privacy and can help them better manage their privacy.

Original languageEnglish (US)
Title of host publicationHT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media
PublisherAssociation for Computing Machinery
Pages200-205
Number of pages6
ISBN (Print)9781450329545
DOIs
StatePublished - Jan 1 2014
Externally publishedYes
Event25th ACM Conference on Hypertext and Social Media, HT 2014 - Santiago, Chile
Duration: Sep 1 2014Sep 4 2014

Publication series

NameHT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media

Other

Other25th ACM Conference on Hypertext and Social Media, HT 2014
CountryChile
CitySantiago
Period9/1/149/4/14

Keywords

  • homophily
  • preference prediction
  • relational learning
  • social media mining

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction
  • Software

Cite this

Abbasi, M. A., Zafarani, R., Tang, J., & Liu, H. (2014). Am i more similar to my followers or followees? Analyzing homophily effect in directed social networks. In HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media (pp. 200-205). (HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media). Association for Computing Machinery. https://doi.org/10.1145/2631775.2631828