Publication
Title
Activity-driven influence maximization in social networks
Author
Abstract
Interaction networks consist of a static graph with a time-stamped list of edges over which interaction took place. Examples of interaction networks are social networks whose users interact with each other through messages or location-based social networks where people interact by checking in to locations. Previous work on finding influential nodes in such networks mainly concentrate on the static structure imposed by the interactions or are based on fixed models for which parameters are learned using the interactions. In two recent works, however, we proposed an alternative activity data driven approach based on the identification of influence propagation patterns. In the first work, we identify so-called information-channels to model potential pathways for information spread, while the second work exploits how users in a location-based social network check in to locations in order to identify influential locations. To make our algorithms scalable, approximate versions based on sketching techniques from the data streams domain have been developed. Experiments show that in this way it is possible to efficiently find good seed sets for influence propagation in social networks.
Language
English
Source (journal)
Lecture notes in computer science. - Berlin, 1973, currens
Lecture notes in computer science. - Berlin, 1973, currens
Source (book)
Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2017, Skopje, Macedonia, September 1822, 2017, Proceedings, Part III / Altun, Yasemin [edit.]; et al.
Source (series)
Lecture notes in artificial intelligence (LNAI) ; 10536
Lecture notes in computer science (LNCS) ; 10536
Publication
Cham : Springer international publishing ag , 2017
ISBN
978-3-319-71272-7
978-3-319-71272-7
Volume/pages
10536 :III (2017) , p. 344-347
ISI
000443111100028
Full text (Publisher's DOI)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 01.08.2018
Last edited 23.09.2021
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