Adaptive Label Propagation Algorithm to Detect Overlapping Community in Complex Networks
نویسندگان
چکیده
منابع مشابه
Community detection in dynamic networks via adaptive label propagation
An adaptive label propagation algorithm (ALPA) is proposed to detect and monitor communities in dynamic networks. Unlike the traditional methods by re-computing the whole community decomposition after each modification of the network, ALPA takes into account the information of historical communities and updates its solution according to the network modifications via a local label propagation pr...
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Community structure is an important feature of a complex network, where detection of the community structure can shed some light on the properties of such a complex network. Amongst the proposed community detection methods, the label propagation algorithm (LPA) emerges as an effective detection method due to its time efficiency. Despite this advantage in computational time, the performance of L...
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Because there is so much randomness, the robustness of label propagation algorithm (LPA) is severely hampered. To reduce the randomness, a label propagation algorithm based on degree (LPAD) is proposed. Only the node with extreme degree is labeled initially, and the label is updated according to the sum degree of its neighbors during iteration. The results show that the randomness of LPAD is re...
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We propose an algorithm for finding overlapping community structure in very large networks. The algorithm is based on the label propagation technique of Raghavan, Albert, and Kumara, but is able to detect communities that overlap. Like the original algorithm, vertices have labels that propagate between neighbouring vertices so that members of a community reach a consensus on their community mem...
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Community detection is a task of fundamental importance in social network analysis. Community structures enable us to discover the hidden interactions among the network entities and summarize the network information that can be applied in many applied domains such as bioinformatics, finance, e-commerce and forensic science. There exist a variety of methods for community detection based on diffe...
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ژورنال
عنوان ژورنال: International Journal of Future Generation Communication and Networking
سال: 2016
ISSN: 2233-7857,2233-7857
DOI: 10.14257/ijfgcn.2016.9.8.31