Temporal influence over the Last.fm social network

Pálovics, Róbert and Benczúr, András (2015) Temporal influence over the Last.fm social network. SOCIAL NETWORK ANALYSIS AND MINING, 5 (1). pp. 1-12. ISSN 1869-5450 10.1007/s13278-014-0244-y


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In a previous result, we showed that the influence of social contacts spreads information about new artists through the Last.fm social network. We successfully decomposed influence from effects of trends, global popularity, and homophily or shared environment of friends. In this paper, we present our new experiments that use a mathematically sound formula for defining and measuring the influence in the network. We provide new baseline and influence models and evaluation measures, both batch and online, for real-time recommendations with very strong temporal aspects. Our experiments are carried over the 2-year “scrobble” history of 70,000 Last.fm users. In our results, we formally define and distil the effect of social influence. In addition, we provide new models and evaluation measures for real-time recommendations with very strong temporal aspects. © 2015, Springer-Verlag Wien.

Item Type: Article
Subjects: Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions: Informatics Laboratory
SWORD Depositor: MTMT Injector
Depositing User: MTMT Injector
Date Deposited: 31 Jan 2016 08:31
Last Modified: 31 Jan 2016 08:31
URI: https://eprints.sztaki.hu/id/eprint/8549

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