Trust Centrality in Online Social Networks

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

Centrality is an important element of social network analysis (SNA) measuring the relative power and influence of members of a social network. In face book-style online social networks every member is potentially able to communicate with everyone else within the network. This has an important impact on centrality: the power derivable from (exclusive) connections within the social graph is reduced because network members must not necessarily follow links. In this paper we propose a new measure for centrality which reflects this paradigm shift. It is based not on connectedness but on trust. We discuss different notions of trust, introduce trust matrix and trust centrality and provide an algorithm for its calculation.
Original languageEnglish
Title of host publicationProceedings - 2011 European Intelligence and Security Informatics Conference, EISIC 2011
EditorsNasrullah Memon, Daniel Zeng
Number of pages6
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Publication date2011
Pages372-377
Article number6061233
ISBN (Print)978-1-4577-1464-1
ISBN (Electronic)978-0-7695-4406-9
DOIs
Publication statusPublished - 2011
EventInternational Symposium on Open Source Intelligence and Web Mining - OSINT-WM 2011 : in conjunction with EISIC 2011 - Athen, Greece
Duration: 12.09.201114.09.2011
https://www.socialvirtuality.com/en/2011/05/22/call-for-papers-open-source-intelligence-and-web-mining-2011-osint-wm-2011/

    Research areas

  • Business informatics - Centrality, Online social network, Reputation, Social network analysis, Trust, Trust centrality, Trust matrix

DOI