activity
20032026
most citedIdentification of influential spreaders in complex networks

3.3k citations · 5.3k across the 32 of their papers we have counts for

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17 papers · 1 filter

physics.soc-ph2026

The mechanistic origin of branching-driven nucleation in abrupt phase transitions

Leyang Xue, Shengling Gao, Bnaya Gross +5

Phase transitions are the macroscopic manifestation of microscopic processes that drive a system towards a new state. The detailed evolution of these processes, particularly in abr…

physics.soc-ph2023

Nucleation phenomena and extreme vulnerability of spatial k-core systems

Leyang Xue, Shengling Gao, Lazaros K. Gallos +4

K-core percolation is a fundamental dynamical process in complex networks with applications that span numerous real-world systems. Earlier studies focus primarily on random network…

physics.soc-ph2022★ 2 cited

The effect of cities and distance on COVID-19 spreading in the United States

Troy McMahon, Shlomo Havlin, Lazaros K. Gallos

The COVID-19 pandemic has evolved over time through multiple spatial and temporal dynamics. The varying extent of interactions among different geographical areas can result to a co…

physics.soc-ph2021★ 1 cited

Spatial correlations in geographical spreading of COVID-19 in USA

Troy McMahon, Adrian Chan, Shlomo Havlin +1

The global spread of the COVID-19 pandemic has followed complex pathways, largely attributed to the high virus infectivity, human travel patterns, and the implementation of multipl…

physics.soc-ph2019★ 10 cited

Propinquity drives the emergence of network structure and density

Lazaros K. Gallos, Shlomo Havlin, H. Eugene Stanley +1

The lack of large-scale, continuously evolving empirical data usually limits the study of networks to the analysis of snapshots in time. This approach has been used for verificatio…

physics.soc-ph2015★ 41 cited

Simple and efficient self-healing strategy for damaged complex networks

Lazaros K. Gallos, Nina H. Fefferman

The process of destroying a complex network through node removal has been the subject of extensive interest and research. Node loss typically leaves the network disintegrated into…