DynaMo: Dynamic Community Detection by Incrementally Maximizing Modularity

@article{Zhuang2021DynaMoDC,
  title={DynaMo: Dynamic Community Detection by Incrementally Maximizing Modularity},
  author={Di Zhuang and J. Morris Chang and Mingchen Li},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2021},
  volume={33},
  pages={1934-1945}
}
Community detection is of great importance for online social network analysis. The volume, variety and velocity of data generated by today's online social networks are advancing the way researchers analyze those networks. For instance, real-world networks, such as Facebook, LinkedIn and Twitter, are inherently growing rapidly and expanding aggressively over time. However, most of the studies so far have been focusing on detecting communities on the static networks. It is computationally… 
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18 Citations
Highly Influential Citations
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Background Citations
13
Methods Citations
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18 Citations

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