activity
20112022
most citedUnfolding communities in large complex networks: Combining defensive and offensive label propagation for core extraction

205 citations · 984 across the 21 of their papers we have counts for

collaborators
Showing physics.soc-phShow all

6 papers · 1 filter

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…

physics.soc-ph2011★ 11 cited

Unfolding network communities by combining defensive and offensive label propagation

Lovro Šubelj, Marko Bajec

Label propagation has proven to be a fast method for detecting communities in complex networks. Recent work has also improved the accuracy and stability of the basic algorithm, how…

physics.soc-ph2011★ 205 cited

Unfolding communities in large complex networks: Combining defensive and offensive label propagation for core extraction

Lovro Šubelj, Marko Bajec

Label propagation has proven to be a fast method for detecting communities in large complex networks. Recent developments have also improved the accuracy of the approach, however,…