منابع مشابه
Spam Source Clustering by Constructing Spammer Network with Correlation Measure
Spam filtering is one of the most challenging problems in electric message systems. In general, recent studies on specifying real spam source are based on content filtering because spammers usually falsify their origin. We propose a method to specify spam source based on structural analysis with complex network. We assume that each spam sources either has the same victim list or uses the same s...
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In this paper we investigate on detecting opinion spammer groups through analyzing how users interact with each other. More specifically, our approaches are based on 1) discovering strong vs. weak implicit communities by mining user interaction patterns, and 2) revealing positive vs. negative communities through sentiment analysis on user interactions. Through extensive experiments over various...
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The explosive use of social media also makes it a popular platform for malicious users, known as social spammers, to overwhelm normal users with unwanted content. One effective way for social spammer detection is to build a classifier based on content and social network information. However, social spammers are sophisticated and adaptable to game the system with fast evolving content and networ...
متن کاملSocial Spammer Detection in Microblogging
The availability of microblogging, like Twitter and Sina Weibo, makes it a popular platform for spammers to unfairly overpower normal users with unwanted content via social networks, known as social spamming. The rise of social spamming can significantly hinder the use of microblogging systems for effective information dissemination and sharing. Distinct features of microblogging systems presen...
متن کاملConnections between Twitter Spammer Categories
Twitter has become a viable platform for spammers, who often form networks to further their reach. Troublesomely, targeted users become increasingly frustrated, or worse, view content resulting in computer virus infection. We build on previous work around detecting spam on Twitter, proposing that subcategorising spammers can increase our understanding of their connections in spammer networks an...
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ژورنال
عنوان ژورنال: International Journal of Network Management
سال: 1998
ISSN: 1055-7148,1099-1190
DOI: 10.1002/(sici)1099-1190(199803/04)8:2<69::aid-nem283>3.0.co;2-v