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Phishing activity has recently been focused on social networking sites as a more effective way of exploiting not only the technology but also the trust that may exist between members in a social network. In this paper, a novel method for profiling phishing activity from an analysis of phishing...
We consider here the task of multi-label classification for data organized in a multi-relational graph. We propose the IMMCA model—Iterative Multi-label Multi-relational Classification Algorithm—a general algorithm for solving the inference and learning problems for this task. Inference is...
Finding the minimum Positive Influence Dominating Set (PIDS) is a problem arisen from the social network applications. The problem has been studied on general random graphs. However, the social networks is presented more precisely by power-law graphs. One of the most important properties of...
Describing social positions and roles is an important topic within the social network analysis. Identifying social positions can be difficult when the target organization lacks a formal structure or is partially hidden. One approach is to compute a suitable equivalence relation on the nodes of...
The development of a resilient weblog ranking metric within the global blogosphere, capable of identifying the most important or influential weblogs around, forms the central aspect of this paper. Because well-established ranking algorithms for traditional web pages are not perfectly applicable...
Social network analysis aims to identify collaborations and helps people organize themselves through community participation and information sharing. The primary sources for social network modelling are explicit relationships such as co-authoring, citations, friendship, etc. However, to enable...
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