11 citations · 47 across the 10 of their papers we have counts for
9 papers · 1 filter
Crowding controls the scaling of bus frequency with demand
Siddharth Patwardhan, Şirag Erkol, Filippo Radicchi +1
Cities must allocate limited resources to maintain mobility, with uncertainties about the resulting state of the system. Analyzing roughly 3,000 bus routes with more than 4 billion…
Multilayer network science: theory, methods, and applications
Alberto Aleta, Andreia Sofia Teixeira, Guilherme Ferraz de Arruda +14
Multilayer network science has emerged as a central framework for analysing interconnected and interdependent complex systems. Its relevance has grown substantially with the increa…
Symmetry breaking in optimal transport networks
Siddharth Patwardhan, Marc Barthelemy, Sirag Erkol +2
Despite its importance for practical applications, not much is known about the optimal shape of a network that connects in an efficient way a set of points. This problem can be for…
Reconstruction of multiplex networks via graph embeddings
Daniel Kaiser, Siddharth Patwardhan, Minsuk Kim +1
Multiplex networks are collections of networks with identical nodes but distinct layers of edges. They are genuine representations for a large variety of real systems whose element…
Epidemic spreading in group-structured populations
Siddharth Patwardhan, Varun K. Rao, Santo Fortunato +1
Individuals involved in common group activities/settings -- e.g., college students that are enrolled in the same class and/or live in the same dorm -- are exposed to recurrent cont…
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…
Quantifying Dismantlement in Disconnected Networks
Siddharth Patwardhan
We propose a novel measure to quantify dismantlement of a fragmented network. The existing measure of dismantlement used to study problems like optimal percolation is usually the s…