Exploiting Community Detection to Recommend Privacy Policies in Decentralized Online Social Networks

2018 ◽  
pp. 573-584 ◽  
Author(s):  
Andrea De Salve ◽  
Barbara Guidi ◽  
Andrea Michienzi
Keyword(s):  
Social Networks ◽  
Community Detection ◽  
Online Social Networks ◽  
Privacy Policies ◽  
Decentralized Online Social Networks

scholarly journals Decentralized Online Social Networks

2010 ◽  
pp. 349-378 ◽  
Author(s):  
Anwitaman Datta ◽  
Sonja Buchegger ◽  
Le-Hung Vu ◽  
Thorsten Strufe ◽  
Krzysztof Rzadca
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Decentralized Online Social Networks

Community Detection in Online Social Networks: A Differentially Private and Parsimonious Approach

2020 ◽  
Vol 7 (1) ◽  
pp. 151-163 ◽  
Author(s):  
Tianxi Ji ◽  
Changqing Luo ◽  
Yifan Guo ◽  
Qianlong Wang ◽  
Lixing Yu ◽  
...  
Keyword(s):  
Social Networks ◽  
Community Detection ◽  
Online Social Networks

Community detection in social networks

2017 ◽  
Vol 01 (01) ◽  
pp. 1630001 ◽  
Author(s):  
Hossein Fani ◽  
Ebrahim Bagheri
Keyword(s):  
Social Networks ◽  
Social Interactions ◽  
Computer Science ◽  
Community Detection ◽  
Online Social Networks ◽  
Online Community ◽  
Detection Methods ◽  
Fundamental Part ◽  
Social Settings ◽  
Online Experience

Online social networks have become a fundamental part of the global online experience. They facilitate different modes of communication and social interactions, enabling individuals to play social roles that they regularly undertake in real social settings. In spite of the heterogeneity of the users and interactions, these networks exhibit common properties. For instance, individuals tend to associate with others who share similar interests, a tendency often known as homophily, leading to the formation of communities. This entry aims to provide an overview of the definitions for an online community and review different community detection methods in social networks. Finding communities are beneficial since they provide summarization of network structure, highlighting the main properties of the network. Moreover, it has applications in sociology, biology, marketing and computer science which help scientists identify and extract actionable insight.

scholarly journals Followers Are Not Enough: A Multifaceted Approach to Community Detection in Online Social Networks

PLoS ONE ◽  
2015 ◽  
Vol 10 (8) ◽  
pp. e0134860 ◽  
Author(s):  
David Darmon ◽  
Elisa Omodei ◽  
Joshua Garland
Keyword(s):  
Social Networks ◽  
Community Detection ◽  
Online Social Networks ◽  
Multifaceted Approach
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