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Trust Centrality in Online Social Networks

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Standard

Trust Centrality in Online Social Networks. / Barbian, Guido.

Proceedings - 2011 European Intelligence and Security Informatics Conference, EISIC 2011. ed. / Nasrullah Memon; Daniel Zeng. IEEE - Institute of Electrical and Electronics Engineers Inc., 2011. p. 372-377 6061233.

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Harvard

Barbian, G 2011, Trust Centrality in Online Social Networks. in N Memon & D Zeng (eds), Proceedings - 2011 European Intelligence and Security Informatics Conference, EISIC 2011., 6061233, IEEE - Institute of Electrical and Electronics Engineers Inc., pp. 372-377, International Symposium on Open Source Intelligence and Web Mining - OSINT-WM 2011 , Athen, Greece, 12.09.11. https://doi.org/10.1109/EISIC.2011.17

APA

Barbian, G. (2011). Trust Centrality in Online Social Networks. In N. Memon, & D. Zeng (Eds.), Proceedings - 2011 European Intelligence and Security Informatics Conference, EISIC 2011 (pp. 372-377). [6061233] IEEE - Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EISIC.2011.17

Vancouver

Barbian G. Trust Centrality in Online Social Networks. In Memon N, Zeng D, editors, Proceedings - 2011 European Intelligence and Security Informatics Conference, EISIC 2011. IEEE - Institute of Electrical and Electronics Engineers Inc. 2011. p. 372-377. 6061233 doi: 10.1109/EISIC.2011.17

Bibtex

@inbook{3dbca8f962e6412d8c4dc5e1b6f18786,
title = "Trust Centrality in Online Social Networks",
abstract = "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.",
keywords = "Business informatics, Centrality, Online social network, Reputation, Social network analysis, Trust, Trust centrality, Trust matrix",
author = "Guido Barbian",
year = "2011",
doi = "10.1109/EISIC.2011.17",
language = "English",
isbn = "978-1-4577-1464-1",
pages = "372--377",
editor = "Nasrullah Memon and Daniel Zeng",
booktitle = "Proceedings - 2011 European Intelligence and Security Informatics Conference, EISIC 2011",
publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",
address = "United States",
note = "International Symposium on Open Source Intelligence and Web Mining - OSINT-WM 2011 : in conjunction with EISIC 2011, OSINT-WM 2011 ; Conference date: 12-09-2011 Through 14-09-2011",
url = "https://www.socialvirtuality.com/en/2011/05/22/call-for-papers-open-source-intelligence-and-web-mining-2011-osint-wm-2011/",

}

RIS

TY - CHAP

T1 - Trust Centrality in Online Social Networks

AU - Barbian, Guido

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - Business informatics

KW - Centrality

KW - Online social network

KW - Reputation

KW - Social network analysis

KW - Trust

KW - Trust centrality

KW - Trust matrix

UR - http://www.scopus.com/inward/record.url?scp=81255128367&partnerID=8YFLogxK

U2 - 10.1109/EISIC.2011.17

DO - 10.1109/EISIC.2011.17

M3 - Article in conference proceedings

SN - 978-1-4577-1464-1

SP - 372

EP - 377

BT - Proceedings - 2011 European Intelligence and Security Informatics Conference, EISIC 2011

A2 - Memon, Nasrullah

A2 - Zeng, Daniel

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - International Symposium on Open Source Intelligence and Web Mining - OSINT-WM 2011

Y2 - 12 September 2011 through 14 September 2011

ER -

Other publications by the same author(s)

Using Smartphones to Monitor Bipolar Disorder Symptoms: A Pilot Study

Beiwinkel, T., Kindermann, S., Maier, A., Kerl, C., Moock, J., Barbian, G. & Rössler, W., 06.01.2016, In: JMIR Mental Health. 3, 1, 16 p., e2.

Research output: Journal contributions › Journal articles › Research › peer-review

Social network activities as a predictor for phase transitions of patients with bipolar affective disorders: a mobile network approach

Barbian, G. & Maier, A., 2013, Sunbelt XXXIII : Abstracts, International Network for Social Network Analysis, May 21-26, 2013, Hamburg, Germany. INSNA (ed.). p. 111 1 p.

Research output: Contributions to collected editions/works › Published abstract in conference proceedings › Research › peer-review

Assessing Trust by Disclosure in Online Social Networks

Barbian, G., 2011, Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011: ASONAM 2011. IEEE - Institute of Electrical and Electronics Engineers Inc., p. 163-170 8 p. 5992576. (Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

CODA - A Groupbase System For Cooperative Design Applications

Barbian, G. & Schlageter, G., 1993, Proceedings - International Conference on Intelligent and Cooperative Information Systems, ICICIS 1993. Schlageter, G., Papazoglou, M. P. & Huhns, M. (eds.). IEEE - Institute of Electrical and Electronics Engineers Inc., p. 220-228 9 p. 291745. (Proceedings - International Conference on Intelligent and Cooperative Information Systems, ICICIS 1993).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Detecting Hidden Friendship in Online Social Networks

Barbian, G., 2011, Proceedings - 2011 European Intelligence and Security Informatics Conference, EISIC 2011. Memon, N. & Zeng, D. (eds.). IEEE - Institute of Electrical and Electronics Engineers Inc., p. 269-272 4 p. 6061247

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

DOI