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- W2511281110 abstract "These days Internet usage has increased. People of all age groups use Internet and this has led to a new research field called complex networks. Complex networks such as social networks, biological networks, technological networks, etc., have become the interest of many researchers because of their wide range of applications. These complex networks have many properties like scale-free networks, transitivity, presence of community structure in these networks. Community detection is one of the most active fields in complex networks because it has many practical applications. In this paper we have studied about community detection. We have also discussed about the techniques of generating data for comparing various community detection algorithms." @default.
- W2511281110 created "2016-09-16" @default.
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- W2511281110 date "2016-01-01" @default.
- W2511281110 modified "2023-09-27" @default.
- W2511281110 title "Generating Data for Testing Community Detection Algorithms" @default.
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- W2511281110 doi "https://doi.org/10.1007/978-981-10-0767-5_43" @default.
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