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Social Network Analysis and Mining
Erschienen in: Social Network Analysis and Mining 1/2016

01.12.2016 | Review Article

User characterization for online social networks

verfasst von: Tayfun Tuna, Esra Akbas, Ahmet Aksoy, Muhammed Abdullah Canbaz, Umit Karabiyik, Bilal Gonen, Ramazan Aygun

Erschienen in: Social Network Analysis and Mining | Ausgabe 1/2016

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Abstract

Online social network analysis has attracted great attention with a vast number of users sharing information and availability of APIs that help to crawl online social network data. In this paper, we study the research studies that are helpful for user characterization as online users may not always reveal their true identity or attributes. We especially focused on user attribute determination such as gender and age; user behavior analysis such as motives for deception; mental models that are indicators of user behavior; user categorization such as bots versus humans; and entity matching on different social networks. We believe our summary of analysis of user characterization will provide important insights into researchers and better services to online users.
Vorheriger Artikel Social ties and checkin sites: connections and latent structures in location-based social networks
Nächster Artikel Resilience of the World Wide Web: a longitudinal two-mode network analysis

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Metadaten
Titel
User characterization for online social networks
verfasst von
Tayfun Tuna
Esra Akbas
Ahmet Aksoy
Muhammed Abdullah Canbaz
Umit Karabiyik
Bilal Gonen
Ramazan Aygun
Publikationsdatum
01.12.2016
Verlag
Springer Vienna
Erschienen in
Social Network Analysis and Mining / Ausgabe 1/2016
Print ISSN: 1869-5450
Elektronische ISSN: 1869-5469
DOI
https://doi.org/10.1007/s13278-016-0412-3

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