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20112025
most citedUnfolding communities in large complex networks: Combining defensive and offensive label propagation for core extraction

205 citations · 1.2k across the 31 of their papers we have counts for

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Showing physics.soc-phShow all

8 papers · 1 filter

physics.soc-ph2022★ 50 cited

Large network community detection by fast label propagation

Vincent A. Traag, Lovro Šubelj

Many networks exhibit some community structure. There exists a wide variety of approaches to detect communities in networks, each offering different interpretations and associated…

physics.soc-ph2022★ 8 cited

Terrorist attacks sharpen the binary perception of "Us" vs. "Them"

Milan Jović, Lovro Šubelj, Tea Golob +5

Terrorist attacks not only harm citizens but also shift their attention, which has long-lasting impacts on public opinion and government policies. Yet measuring the changes in publ…

physics.soc-ph2012★ 10 cited

Clustering assortativity, communities and functional modules in real-world networks

Lovro Šubelj, Marko Bajec

Complex networks of real-world systems are believed to be controlled by common phenomena, producing structures far from regular or random. Clustering, community structure and assor…

physics.soc-ph2011★ 7 cited

Generalized network community detection

Lovro Šubelj, Marko Bajec

Community structure is largely regarded as an intrinsic property of complex real-world networks. However, recent studies reveal that networks comprise even more sophisticated modul…

physics.soc-ph2011★ 201 cited

Robust network community detection using balanced propagation

Lovro Šubelj, Marko Bajec

Label propagation has proven to be an extremely fast method for detecting communities in large complex networks. Furthermore, due to its simplicity, it is also currently one of the…

physics.soc-ph2011★ 44 cited

Ubiquitousness of link-density and link-pattern communities in real-world networks

Lovro Šubelj, Marko Bajec

Community structure appears to be an intrinsic property of many complex real-world networks. However, recent work shows that real-world networks reveal even more sophisticated modu…