11 citations · 47 across the 10 of their papers we have counts for
3 papers · 1 filter
Machine Learning as an Accurate Predictor for Percolation Threshold of Diverse Networks
Siddharth Patwardhan, Utso Majumder, Aditya Das Sarma +3
The percolation threshold is an important measure to determine the inherent rigidity of large networks. Predictors of the percolation threshold for large networks are computational…
Influence Maximization: Divide and Conquer
Siddharth Patwardhan, Filippo Radicchi, Santo Fortunato
The problem of influence maximization, i.e., finding the set of nodes having maximal influence on a network, is of great importance for several applications. In the past two decade…
Multiplex reconstruction with partial information
Daniel Kaiser, Siddharth Patwardhan, Filippo Radicchi
A multiplex is a collection of network layers, each representing a specific type of edges. This appears to be a genuine representation for many real-world systems. However, due to…