A Survey on Dynamic Community Detection based on Distance Dynamics in Real World Network
Komal Prajapati, Prof. M. B. Chaudhary
Communities, Dynamic community detection, Distance dynamics
In today’s era, real world networks have become quite prominent and a lot of research is getting done for making these networks valuable, by proposing helpful communities and similar interest communities to users. Moreover, due to freely available web space and interactions, there are different communities per user, making it extremely hard for highly iterative detection algorithms perform quickly and give important suggestions. Furthermore, real world networks are dynamic in nature. Along this lines, there is a requirement for dynamic community detection algorithm which can appropriately detect communities with time differs. Because it accepts the changes in network rather than static community detection algorithm. A Real world network is vital complicated network. There is a number of algorithms developed to detect communities. In this paper, we will see advantages and disadvantages of existing algorithms.
Article Details
Unique Paper ID: 145398

Publication Volume & Issue: Volume 4, Issue 9

Page(s): 407 - 411
Article Preview & Download

Share This Article

Join our RMS

Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Call For Paper

Volume 11 Issue 1

Last Date for paper submitting for Latest Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews