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Chapter and Conference Paper
Rumor Detection with Hierarchical Recurrent Convolutional Neural Network
Automatic rumor detection for events on online social media has attracted considerable attention in recent years. Usually, the events on social media are divided into several time segments, and for each segmen...
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Chapter and Conference Paper
A Tensor Factorization Based User Influence Analysis Method with Clustering and Temporal Constraint
User influence analysis in social media has attracted tremendous interest from both the sociology and social data mining. It is becoming a hot topic recently. However, most approaches ignore the temporal chara...
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Chapter and Conference Paper
The Role of Physical Location in Our Online Social Networks
One of the most important properties of social networking sites is its reachability – no physical location constraint. In addition, all social networking sites allow us to search people with common interests, ...
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Chapter and Conference Paper
Weight-Based Boosting Model for Cross-Domain Relevance Ranking Adaptation
Adaptation techniques based on importance weighting were shown effective for RankSVM and RankNet, viz., each training instance is assigned a target weight denoting its importance to the target domain and incorpor...
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Chapter and Conference Paper
A New Conceptual Graph Generated Algorithm for Semi-structured Databases
As the World Wide Web grows dramatically in recent years, there is increasing interest in semi-structured data on the web. Semi-structured data are usually represented in graph format, many graph schemas have ...