Network and profile based measures for user similarities on social networks

Cuneyt Gurcan Akcora, Barbara Carminati, Elena Ferrari

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

45 Citations (Scopus)

Abstract

An interesting problem in online social networks is the identification of user characteristics and the analysis of how these are reflected in the graph structure evolution. The basis of these studies are user similarity measures. In this paper, we approach user similarity from two angles. First, we propose a network similarity measure that considers only the graph structure and that, differently from existing techniques, takes into consideration also how two users are indirectly connected. Secondly, we propose a similarity measure based on user profile information, such to find semantic similarities between users. Moreover, since user profile data could be missing, we present a technique to infer them from profile items of the user contacts. We evaluate our similarity measures on Facebook and DBLP data.

Original languageEnglish
Title of host publicationProceedings of the 2011 IEEE International Conference on Information Reuse and Integration, IRI 2011
Pages292-298
Number of pages7
DOIs
Publication statusPublished - 29 Sep 2011
Event12th IEEE International Conference on Information Reuse and Integration, IRI 2011 - Las Vegas, NV, United States
Duration: 3 Aug 20115 Aug 2011

Publication series

NameProceedings of the 2011 IEEE International Conference on Information Reuse and Integration, IRI 2011

Conference

Conference12th IEEE International Conference on Information Reuse and Integration, IRI 2011
CountryUnited States
CityLas Vegas, NV
Period3/8/115/8/11

    Fingerprint

ASJC Scopus subject areas

  • Information Systems
  • Information Systems and Management

Cite this

Akcora, C. G., Carminati, B., & Ferrari, E. (2011). Network and profile based measures for user similarities on social networks. In Proceedings of the 2011 IEEE International Conference on Information Reuse and Integration, IRI 2011 (pp. 292-298). [6009562] (Proceedings of the 2011 IEEE International Conference on Information Reuse and Integration, IRI 2011). https://doi.org/10.1109/IRI.2011.6009562