Change search
ReferencesLink to record
Permanent link

Direct link
Analyzing temporal networks in social media
Umeå University, Faculty of Science and Technology, Department of Physics. Department of Energy Science, Sungkyunkwan University Suwon, South Korea. (IceLab)ORCID iD: 0000-0003-2156-1096
2014 (English)In: Proceedings of the IEEE, ISSN 0018-9219, Vol. 102, no 12, 1922-1933 p.Article, review/survey (Refereed) Published
Abstract [en]

Many types of social media metadata come in forms of temporal networks, networks where we have information about not only who is in contact with whom but also when contacts happen. In this paper, we review methods to analyze temporal networks developed in the last few years applied to social media data. These methods seek to identify important spreaders and, in more generality, how the temporal and topological structure of interaction affects spreading processes.

Place, publisher, year, edition, pages
2014. Vol. 102, no 12, 1922-1933 p.
Keyword [en]
network analysis, social network services, temporal networks
National Category
Information Systems
URN: urn:nbn:se:umu:diva-96754DOI: 10.1109/JPROC.2014.2361326ISI: 000345524100007ScopusID: 2-s2.0-84914118377OAI: diva2:767598
Swedish Research Council

This paper reviews methods for analyzing recently temporal networks applied to socialmedia data.

Available from: 2014-12-02 Created: 2014-12-02 Last updated: 2015-02-04Bibliographically approved

Open Access in DiVA

fulltext(1065 kB)185 downloads
File information
File name FULLTEXT01.pdfFile size 1065 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Holme, Petter
By organisation
Department of Physics
In the same journal
Proceedings of the IEEE
Information Systems

Search outside of DiVA

GoogleGoogle Scholar
Total: 185 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 66 hits
ReferencesLink to record
Permanent link

Direct link