activity
20162019
most citedOn community structure in complex networks: challenges and opportunities

188 citations · 276 across the 7 of their papers we have counts for

collaborators

8 papers

physics.soc-ph2019★ 188 cited

On community structure in complex networks: challenges and opportunities

Hocine Cherifi, Gergely Palla, Boleslaw K. Szymanski +1

Community structure is one of the most relevant features encountered in numerous real-world applications of networked systems. Despite the tremendous effort of scientists working o…

physics.soc-ph2019★ 21 cited

The evolution of polarization in the legislative branch of government

Xiaoyan Lu, Jianxi Gao, Boleslaw K. Szymanski

The polarization of political opinions among members of the U.S. legislative chambers measured by their voting records is greater today than it was thirty years ago. Previous resea…

cs.SI2019★ 12 cited

Regularized Stochastic Block Model for robust community detection in complex networks

Xiaoyan Lu, Boleslaw K. Szymanski

The stochastic block model is able to generate different network partitions, ranging from traditional assortative communities to disassortative structures. Since the degree-correct…

cs.SI2019★ 13 cited

Asymptotic resolution bounds of generalized modularity and multi-scale community detection

Xiaoyan Lu, Brendan Cross, Boleslaw K. Szymanski

The maximization of generalized modularity performs well on networks in which the members of all communities are statistically indistinguishable from each other. However, there is…

cs.SI2018

Scalable prediction of global online media news virality

Xiaoyan Lu, Boleslaw K. Szymanski

News reports shape the public perception of the critical social, political and economical events around the world. Yet, the way in which emergent phenomena are reported in the news…

cs.SI2017★ 36 cited

Adaptive Modularity Maximization via Edge Weighting Scheme

Xiaoyan Lu, Konstantin Kuzmin, Mingming Chen +1

Modularity maximization is one of the state-of-the-art methods for community detection that has gained popularity in the last decade. Yet it suffers from the resolution limit probl…

cs.SI2016★ 4 cited

Supporting novel biomedical research via multilayer collaboration networks

Konstantin Kuzmin, Xiaoyan Lu, Partha Sarathi Mukherjee +3

The value of research containing novel combinations of molecules can be seen in many innovative and award-winning research programs. Despite calls to use innovative approaches to a…

physics.soc-ph2016★ 2 cited

Towards Limited Scale-free Topology with Dynamic Peer Participation

Xiaoyan Lu, Eyuphan Bulut, Boleslaw Szymanski

Growth models have been proposed for constructing the scale-free overlay topology to improve the performance of unstructured peer-to-peer (P2P) networks. However, previous growth m…