activity
20162026
most citedCascading Failures in Complex Networks

126 citations · 168 across the 6 of their papers we have counts for

collaborators
Showing 2018Show all

5 papers · 1 filter

physics.soc-ph2018

A combined network and machine learning approaches for product market forecasting

Jingfang Fan, Keren Cohen, Louis M. Shekhtman +4

Sustainable financial markets play an important role in the functioning of human society. Still, the detection and prediction of risk in financial markets remain challenging and dr…

physics.geo-ph2018

Possible Origin of Memory in Earthquakes: Real catalogs and ETAS model

Jingfang Fan, Dong Zhou, Louis M. Shekhtman +5

Earthquakes are one of the most devastating natural disasters that plague society. A skilled, reliable earthquake forecasting remains the ultimate goal for seismologists. Using the…

physics.soc-ph2018

Resilience of spatial networks with inter-links behaving as an external field

Jingfang Fan, Gaogao Dong, Louis M. Shekhtman +4

Many real systems such as, roads, shipping routes, and infrastructure systems can be modeled based on spatially embedded networks. The inter-links between two distant spatial netwo…

physics.soc-ph2018

Percolation of Hierarchical Networks and Networks of Networks

Louis M. Shekhtman, Shlomo Havlin

Much work has been devoted to studying percolation of networks and interdependent networks under varying levels of failures. Researchers have considered many different realistic ne…

physics.soc-ph2018

Resilience of networks with community structure behaves as if under an external field

Gaogao Dong, Jingfang Fan, Louis M. Shekhtman +6

Detecting and characterizing community structure plays a crucial role in the study of networked systems. However, there is still a lack of understanding of how community structure…