Enhanced hypertext categorization using hyperlinks
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Why collective inference improves relational classification
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Naive Bayesian Classification of Structured Data
Machine Learning
Information revelation and privacy in online social networks
Proceedings of the 2005 ACM workshop on Privacy in the electronic society
ACM SIGKDD Explorations Newsletter
ACM SIGKDD Explorations Newsletter
Link mining applications: progress and challenges
ACM SIGKDD Explorations Newsletter
Classification in Networked Data: A Toolkit and a Univariate Case Study
The Journal of Machine Learning Research
Movie forecast Guru: A Web-based DSS for Hollywood managers
Decision Support Systems
Preserving the privacy of sensitive relationships in graph data
PinKDD'07 Proceedings of the 1st ACM SIGKDD international conference on Privacy, security, and trust in KDD
Inferring privacy information from social networks
ISI'06 Proceedings of the 4th IEEE international conference on Intelligence and Security Informatics
You are where you tweet: a content-based approach to geo-locating twitter users
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Leveraging Network Properties for Trust Evaluation in Multi-agent Systems
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
A content-driven framework for geolocating microblog users
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on twitter and microblogging services, social recommender systems, and CAMRa2010: Movie recommendation in context
Multi-label relational neighbor classification using social context features
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
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Classification of nodes in a social network and its applications to security informatics have been extensively studied in the past. However, previous work generally does not consider the types of links (e.g., whether a person is friend or a close friend) that connect social networks members for classification purposes. Here, we propose modified Naive Bayes Classification schemes to make use of the link type information in classification tasks. Basically, we suggest two new Bayesian classification methods that extend a traditional relational Naive Bayes Classifier, namely, the Link Type relational Bayes Classifier and the Weighted Link Type Bayes Classifier. We then show the efficacy of our proposed techniques by conducting experiments on data obtained from the Internet Movie Database.