Publikation: Predicting network structure using unlabeled interaction information
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2014
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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, 2014, pp. 57-64. Schriften aus der Fakultät Wirtschaftsinformatik und Angewandte Informatik der Otto-Friedrich-Universität Bamberg. 16. ISBN 978-3-86309-208-5
Zusammenfassung
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.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
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Link inference, Facebook, Interaction
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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, 2014, pp. 57-64. Schriften aus der Fakultät Wirtschaftsinformatik und Angewandte Informatik der Otto-Friedrich-Universität Bamberg. 16. ISBN 978-3-86309-208-5BibTex
@inproceedings{Nasim2014Predi-27809,
year={2014},
title={Predicting network structure using unlabeled interaction information},
number={16},
isbn={978-3-86309-208-5},
publisher={Univ. of Bamberg Press},
address={Bamberg},
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}
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Link zur Originalveröffentlichung: http://nbn-resolving.de/urn:nbn:de:bvb:473-opus4-64867
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