Community detection in networks: A user guide
نویسندگان
چکیده
منابع مشابه
Community detection in networks: A user guide
Community detection in networks is one of the most popular topics of modern network science. Communities, or clusters, are usually groups of vertices having higher probability of being connected to each other than to members of other groups, though other patterns are possible. Identifying communities is an ill-defined problem. There are no universal protocols on the fundamental ingredients, lik...
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در این پایان نامه به بررسی روش های آشکارسازی در سیستم های mc-cdma می پردازیم. با توجه به ماهیت آشکارسازی در این سیستم ها، تکنیک های آشکارسازی را می توان به دو دسته ی اصلی تقسیم نمود: آشکارسازی سیگنال ارسالی یک کاربر مطلوب بدون در نظر گرفتن اطلاعاتی در مورد سایر کاربران تداخل کننده که از آن ها به عنوان آشکارساز های تک کاربره یاد می شود و همچنین آشکارسازی سیگنال ارسالی همه ی کاربران فعال موجود در...
User Interaction Based Community Detection in Online Social Networks
Phase 4: Hierarchical Clustering on Probability Graph Similarity measure: puv values from 3 rd phase Linkage Criterion: UPGMA Phase 3: Computing the Probabilities Given an interaction graph, GI(V, E, W), and a group interaction graph, GGI(V, Eˊ, Wˊ), we construct a probability graph GP(V, EUEˊ, P), where each weight puv ε P represents probability between vertices u and v to belong in the ...
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Online social networks (OSNs) provide an excellent platform to connect, share, communicate, and interact among different groups of people. Discovering meaningful communities based on the interactions of different people in a social network is an active research topic in recent years. However, existing interaction based community detection techniques either rely on the content analysis or only c...
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ژورنال
عنوان ژورنال: Physics Reports
سال: 2016
ISSN: 0370-1573
DOI: 10.1016/j.physrep.2016.09.002