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Community Detection in social networks

  • Unique Paper ID: 142328
  • Volume: 2
  • Issue: 1
  • PageNo: 48-52
  • Abstract:
  • Community detection algorithms are basic fundamental methods that are used to uncover organizational principles in networks. While recognising various communities, there are two distinct possible sources of information that one can use, the network structure and the attributes of nodes .Even though communities form around nodes the edges and attributes in common. Community detection Algorithm basically Focus only network structure. A community is normally considered as a gathering of nodes with a greater number of relationships amongst its individuals than between its individuals and the rest of the network. Recognizing important group structure in informal communities is a hard issue, and great system size or inadequacy of the system aggravate the difficulty of the undertaking. With a multiplication of certifiable system datasets there has been an expanding interest for calculations that work viably and effectively. Existing systems are restricted by their computational prerequisites and depend intensely on the system topology, which fizzles in sans scale systems. Yet, the system integration, numerous datasets likewise incorporate characteristics of individual hubs, however current routines are not able to join this information
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 2
  • Issue: 1
  • PageNo: 48-52

Community Detection in social networks

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Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

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