Detecting Hidden Friendship in Online Social Networks
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Authors
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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2011 European Intelligence and Security Informatics Conference, EISIC 2011 |
| Editors | Nasrullah Memon, Daniel Zeng |
| Number of pages | 4 |
| Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
| Publication date | 2011 |
| Pages | 269-272 |
| Article number | 6061247 |
| ISBN (print) | 978-1-4577-1464-1 |
| ISBN (electronic) | 978-0-7695-4406-9 |
| DOIs | |
| Publication status | Published - 2011 |
| Event | IEEE European Intelligence and Security Informatics Conference - EISIC 2011 - Athen, Greece Duration: 12.09.2011 → 14.09.2011 http://www.eisic.eu/eisic2011/call.aspx |
- Business informatics - Disclosure, Hidden friendship, Online social network, Privacy, Trust
Research areas
- SDG 16 - Peace, Justice and Strong Institutions