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

doi:10.1145/2631775.2631828

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/Entry/Poem › Conference 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 language	English (US)
Title of host publication	HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media
Publisher	Association for Computing Machinery
Pages	200-205
Number of pages	6
ISBN (Print)	9781450329545
DOIs	https://doi.org/10.1145/2631775.2631828
State	Published - 2014
Externally published	Yes
Event	25th ACM Conference on Hypertext and Social Media, HT 2014 - Santiago, Chile Duration: Sep 1 2014 → Sep 4 2014

Publication series

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

Other

Other	25th ACM Conference on Hypertext and Social Media, HT 2014
Country/Territory	Chile
City	Santiago
Period	9/1/14 → 9/4/14

Keywords

homophily
preference prediction
relational learning
social media mining

ASJC Scopus subject areas

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

Access to Document

10.1145/2631775.2631828

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

Am i more similar to my followers or followees? Analyzing homophily effect in directed social networks. / Abbasi, Mohammad Ali; Zafarani, Reza; Tang, Jiliang et al.
HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media. Association for Computing Machinery, 2014. p. 200-205 (HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media).

Research output: Chapter in Book/Entry/Poem › Conference contribution

Abbasi, MA, 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. HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media, Association for Computing Machinery, pp. 200-205, 25th ACM Conference on Hypertext and Social Media, HT 2014, Santiago, Chile, 9/1/14. https://doi.org/10.1145/2631775.2631828

Abbasi MA, Zafarani R, Tang J, Liu H. 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. Association for Computing Machinery. 2014. p. 200-205. (HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media). doi: 10.1145/2631775.2631828

Abbasi, Mohammad Ali ; Zafarani, Reza ; Tang, Jiliang et al. / Am i more similar to my followers or followees? Analyzing homophily effect in directed social networks. HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media. Association for Computing Machinery, 2014. pp. 200-205 (HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media).

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AB - 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.

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

Abstract

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Keywords

ASJC Scopus subject areas

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