Detecting Hidden Friendship in Online Social Networks

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Standard

Detecting Hidden Friendship in Online Social Networks. / Barbian, Guido.
Proceedings - 2011 European Intelligence and Security Informatics Conference, EISIC 2011. Hrsg. / Nasrullah Memon; Daniel Zeng. IEEE - Institute of Electrical and Electronics Engineers Inc., 2011. S. 269-272 6061247.

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Harvard

Barbian, G 2011, Detecting Hidden Friendship in Online Social Networks. in N Memon & D Zeng (Hrsg.), Proceedings - 2011 European Intelligence and Security Informatics Conference, EISIC 2011., 6061247, IEEE - Institute of Electrical and Electronics Engineers Inc., S. 269-272,
, Athen, Griechenland, 12.09.11. https://doi.org/10.1109/EISIC.2011.14

APA

Barbian, G. (2011). Detecting Hidden Friendship in Online Social Networks. In N. Memon, & D. Zeng (Hrsg.), Proceedings - 2011 European Intelligence and Security Informatics Conference, EISIC 2011 (S. 269-272). Artikel 6061247 IEEE - Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EISIC.2011.14

Vancouver

Barbian G. Detecting Hidden Friendship in Online Social Networks. in Memon N, Zeng D, Hrsg., Proceedings - 2011 European Intelligence and Security Informatics Conference, EISIC 2011. IEEE - Institute of Electrical and Electronics Engineers Inc. 2011. S. 269-272. 6061247 doi: 10.1109/EISIC.2011.14

Bibtex

@inbook{723de17175914fde8f6337b6348e7339,
title = "Detecting Hidden Friendship in Online Social Networks",
abstract = "For many intelligence and security applications it is important to know how close people in a network are. In online social networks (OSN) friendship links are a frequently chosen basis for the analysis. In this paper we show that friendship links can be misleading, if we want to know to what extent people in a network trust into each other. We also show how to unveil hidden friendship relations based on an analysis of exceptions in the privacy settings. We furthermore discuss resulting options for defeating crime and terrorism as well as associated privacy, security and civil liberty issues.",
keywords = "Business informatics, Disclosure, Hidden friendship, Online social network, Privacy, Trust",
author = "Guido Barbian",
year = "2011",
doi = "10.1109/EISIC.2011.14",
language = "English",
isbn = " 978-1-4577-1464-1",
pages = "269--272",
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 = "IEEE European Intelligence and Security Informatics Conference - EISIC 2011, EISIC 2011 ; Conference date: 12-09-2011 Through 14-09-2011",
url = "http://www.eisic.eu/eisic2011/call.aspx",

}

RIS

TY - CHAP

T1 - Detecting Hidden Friendship in Online Social Networks

AU - Barbian, Guido

PY - 2011

Y1 - 2011

N2 - For many intelligence and security applications it is important to know how close people in a network are. In online social networks (OSN) friendship links are a frequently chosen basis for the analysis. In this paper we show that friendship links can be misleading, if we want to know to what extent people in a network trust into each other. We also show how to unveil hidden friendship relations based on an analysis of exceptions in the privacy settings. We furthermore discuss resulting options for defeating crime and terrorism as well as associated privacy, security and civil liberty issues.

AB - For many intelligence and security applications it is important to know how close people in a network are. In online social networks (OSN) friendship links are a frequently chosen basis for the analysis. In this paper we show that friendship links can be misleading, if we want to know to what extent people in a network trust into each other. We also show how to unveil hidden friendship relations based on an analysis of exceptions in the privacy settings. We furthermore discuss resulting options for defeating crime and terrorism as well as associated privacy, security and civil liberty issues.

KW - Business informatics

KW - Disclosure

KW - Hidden friendship

KW - Online social network

KW - Privacy

KW - Trust

UR - http://www.scopus.com/inward/record.url?scp=81255128277&partnerID=8YFLogxK

U2 - 10.1109/EISIC.2011.14

DO - 10.1109/EISIC.2011.14

M3 - Article in conference proceedings

SN - 978-1-4577-1464-1

SP - 269

EP - 272

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 - IEEE European Intelligence and Security Informatics Conference - EISIC 2011

Y2 - 12 September 2011 through 14 September 2011

ER -

DOI

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