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Computers in Human Behavior: Volume 77 Issue C, December 2017
Publisher: Elsevier Science Publishers B. V.
The study examines the gendered discourse patterns on a popular online social network, TheMarker Caf, using social network analysis. Overall, the findings strengthen previous analyses that report evidence of men's assertive and dominant discourse style and social role versus women's more cooperative and supportive discourse style. Men wrote more posts, ...
Social capital, Popularity, Social network analysis, Social networking site, Gender
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Section on Intelligent Mobile Knowledge Discovery and Management Systems and Special Issue on Social Web Mining: Volume 5 Issue 1, December 2013
Citation Count: 9
Downloads (6 Weeks): 12, Downloads (12 Months): 130, Downloads (Overall): 969
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Online social networking sites have become increasingly popular over the last few years. As a result, new interdisciplinary research directions have emerged in which social network analysis methods are applied to networks containing hundreds of millions of users. Unfortunately, links between individuals may be missing either due to an imperfect ...
Academia.edu, Google+, Twitter, Flickr, hidden links, social networks, DBLP, Flixster, YouTube, imbalanced dataset, supervised learning, Facebook, Link prediction, TheMarker Cafe, training set size
SBP'13: Proceedings of the 6th international conference on Social Computing, Behavioral-Cultural Modeling and Prediction
Inferring Online Social Networks (OSN) group members may help to evaluate the authenticity of an applicant asking to join a certain group, and secure vulnerable populations online, such as children. We propose machine learning based methods, which associate OSN members' affiliation with virtual groups based on personal, topological, and group ...
machine learning, group prediction, social networks