Data Mining on Social Interaction Networks
نویسندگان
چکیده
منابع مشابه
Data Mining on Social Interaction Networks
Social media and social networks have already woven themselves into the very fabric of everyday life. This results in a dramatic increase of social data capturing various relations between the users and their associated artifacts. In such settings, data mining and analysis plays a central role: Predictive data mining targets the acquisition and learning of specific models in order to support th...
متن کاملData Mining on Social Interaction Networks
Social media and social networks have already woven themselves into the very fabric of everyday life. This results in a dramatic increase of social data capturing various relations between the users and their associated artifacts. In such settings, data mining and analysis plays a central role: Predictive data mining targets the acquisition and learning of specific models in order to support th...
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In this research, we compare and contrast the salient features of illicit group information with legitimate group data. We describe how the graph-based knowledge discovery system, SUBDUE, when run in unsupervised discovery mode, finds structural patterns embedded within social network data. We also illustrate how SUBDUE, in supervised mode, learns distinguishing patterns between legitimate and ...
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Several techniques for learning statistical models have been developed recently by researchers in machine learning and data mining. All of these techniques must address a similar set of representational and algorithmic choices and must face a set of statistical challenges unique to learning from relational data.
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User-to-user interactions have become ubiquitous in Web 2.0. Users exchange emails, post on newsgroups, tag web pages, co-author papers, etc. Through these interactions, users co-produce or co-adopt content items (e.g., words in emails, tags in social bookmarking sites). We model such dynamic interactions as a user interaction network, which relates users, interactions, and content items over t...
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ژورنال
عنوان ژورنال: Journal of Data Mining & Digital Humanities
سال: 2014
ISSN: 2416-5999
DOI: 10.46298/jdmdh.7