Discovering community structures is a fundamental problem concerning how to understand the topology and the functions of complex network. In this paper, we propose how to apply dictionary learning algorithm to community structure detection. We present a new dictionary learning algorithm and systematically compare it with other state-of-the-art models/algorithms. The results show that the proposed algorithm is highly effectively at finding the community structures in both synthetic datasets, including three types of data structures, and real world networks coming from different areas.
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机译:Study on Risk Management of Epidemic Prevention in High Rise Residential Areas of Urban Community from the Perspective of COVlD-19: A Case Study of L Community in Handan City