Trust Centrality in Online Social Networks
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-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 language | English |
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Title of host publication | Proceedings - 2011 European Intelligence and Security Informatics Conference, EISIC 2011 |
Editors | Nasrullah Memon, Daniel Zeng |
Number of pages | 6 |
Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
Publication date | 2011 |
Pages | 372-377 |
Article number | 6061233 |
ISBN (print) | 978-1-4577-1464-1 |
ISBN (electronic) | 978-0-7695-4406-9 |
DOIs | |
Publication status | Published - 2011 |
Event | International Symposium on Open Source Intelligence and Web Mining - OSINT-WM 2011 : in conjunction with EISIC 2011 - Athen, Greece Duration: 12.09.2011 → 14.09.2011 https://www.socialvirtuality.com/en/2011/05/22/call-for-papers-open-source-intelligence-and-web-mining-2011-osint-wm-2011/ |
- Business informatics - Centrality, Online social network, Reputation, Social network analysis, Trust, Trust centrality, Trust matrix