Predicting network structure using unlabeled interaction information

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dc.contributor.authorNasim, Mehwish
dc.contributor.authorBrandes, Ulrik
dc.date.accessioned2014-05-22T10:14:04Zdeu
dc.date.available2014-05-22T10:14:04Zdeu
dc.date.issued2014deu
dc.description.abstractWe 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.eng
dc.description.versionpublished
dc.identifier.citationMMB & 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 978-3-86309-208-5deu
dc.identifier.ppn406544158deu
dc.identifier.urihttp://kops.uni-konstanz.de/handle/123456789/27809
dc.language.isoengdeu
dc.legacy.dateIssued2014-05-22deu
dc.rightsterms-of-usedeu
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/deu
dc.subjectLink inferencedeu
dc.subjectFacebookdeu
dc.subjectInteractiondeu
dc.subject.ddc004deu
dc.titlePredicting network structure using unlabeled interaction informationeng
dc.typeINPROCEEDINGSdeu
dspace.entity.typePublication
kops.citation.bibtex
@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}
}
kops.citation.iso690NASIM, 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 978-3-86309-208-5deu
kops.citation.iso690NASIM, 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 978-3-86309-208-5eng
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kops.description.commentLink zur Originalveröffentlichung: http://nbn-resolving.de/urn:nbn:de:bvb:473-opus4-64867deu
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kops.sourcefieldFISCHBACH, Kai, ed. and others. <i>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)</i>. Bamberg: Univ. of Bamberg Press, 2014, pp. 57-64. Schriften aus der Fakultät Wirtschaftsinformatik und Angewandte Informatik der Otto-Friedrich-Universität Bamberg. 16. ISBN 978-3-86309-208-5deu
kops.sourcefield.plainFISCHBACH, 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 978-3-86309-208-5deu
kops.sourcefield.plainFISCHBACH, 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 978-3-86309-208-5eng
kops.submitter.emaillaura.liebermann@uni-konstanz.dedeu
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source.titleMMB & 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)

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