Predicting network structure using unlabeled interaction information

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NASIM, Mehwish, Ulrik BRANDES, 2014. Predicting network structure using unlabeled interaction information. In: FISCHBACH, Kai, ed. and others. MMB & DFT 2014 : Proceedings of the International Workshops ; Modeling, Analysis and Management of Social Networks and Their Applications (SOCNET 2014) & Demand Modeling and Quantitative Analysis of Future Generation Energy Networks and Energy-Efficient Systems (FGENET 2014). Bamberg:Univ. of Bamberg Press, pp. 57-64. ISBN 978-3-86309-208-5

@inproceedings{Nasim2014Predi-27809, title={Predicting network structure using unlabeled interaction information}, year={2014}, number={16}, isbn={978-3-86309-208-5}, address={Bamberg}, publisher={Univ. of Bamberg Press}, series={Schriften aus der Fakultät Wirtschaftsinformatik und Angewandte Informatik der Otto-Friedrich-Universität Bamberg}, booktitle={MMB & DFT 2014 : Proceedings of the International Workshops ; Modeling, Analysis and Management of Social Networks and Their Applications (SOCNET 2014) & Demand Modeling and Quantitative Analysis of Future Generation Energy Networks and Energy-Efficient Systems (FGENET 2014)}, pages={57--64}, editor={Fischbach, Kai}, author={Nasim, Mehwish and Brandes, Ulrik}, note={Link zur Originalveröffentlichung: http://nbn-resolving.de/urn:nbn:de:bvb:473-opus4-64867} }

eng deposit-license MMB & DFT 2014 : Proceedings of the International Workshops ; Modeling, Analysis and Management of Social Networks and Their Applications (SOCNET 2014) & Demand Modeling and Quantitative Analysis of Future Generation Energy Networks and Energy-Efficient Systems (FGENET 2014) / Fischbach, Kai ... (eds.). - Bamberg : Univ. of Bamberg Press, 2014. - S. 57-64. - (Schriften aus der Fakultät Wirtschaftsinformatik und Angewandte Informatik der Otto-Friedrich-Universität Bamberg ; 16). - ISBN 978-3-86309-208-5 2014 Brandes, Ulrik 2014-05-22T10:14:04Z Nasim, Mehwish Predicting network structure using unlabeled interaction information Brandes, Ulrik We are interested in the question whether interactions in online social networks (OSNs) can serve as a proxy for more persistent social relation. With Facebook as the context of our analysis, we look at commenting on wall posts as a form of interaction, and friendship ties as social relations. Findings from a pretest suggest that others’ joint commenting patterns on someone’s status posts are indeed indicative of friendship ties between them, independent of the contents. This would have implications for the effectiveness of privacy settings. Nasim, Mehwish 2014-05-22T10:14:04Z

Dateiabrufe seit 01.10.2014 (Informationen über die Zugriffsstatistik)

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