Structural sparsity of complex networks: Bounded expansion in random models and real-world graphs
This research establishes that many real-world networks exhibit bounded expansion2, a strong notion of structural sparsity, and demonstrates that it can be leveraged to design efficient algorithms for network analysis. Specifically, we give a new linear-time fpt algorithm for motif counting and line...
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Format: | Article |
Language: | English |
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Elsevier BV
2021
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Online Access: | https://hdl.handle.net/1721.1/129561 |