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Random graphs

igraph 1.0 enables fast and robust network analysis across programming languages

Michael Antonov, Gábor Csárdi, [ ... ], Fabio Zanini

The Firefighter problem with dynamic defence costs

Ethan Hunter, Jessica Enright

Generating random graphs with prescribed graphlet frequency bounds derived from probabilistic networks

Bram Mornie, Didier Colle, Pieter Audenaert, Mario Pickavet

Market, power, gift, and concession economies: Comparison using four-mode primitive network models

Takeshi Kato, Junichi Miyakoshi, Misa Owa, Ryuji Mine

Gender, kinship, and other social predictors of incrimination in the inquisition register of Bologna (1291–1310): Results from an exponential random graph model

David Zbíral, Katia Riccardo, Tomáš Hampejs, Zoltán Brys

Institutional distance, trade agreements, and intellectual property trade networks: Evidence from cross-border data

Yida Wang, Jiangjiao Wang

DC algorithm for estimation of sparse Gaussian graphical models

Tomokaze Shiratori, Yuichi Takano

Stochastic step-wise feature selection for Exponential Random Graph Models (ERGMs)

Helal El-Zaatari, Fei Yu, Michael R. Kosorok

Investigating stronger tolerant network against cascading failures in focusing on changing degree distributions

Ryota Kusunoki, Yukio Hayashi

On the sensitivity of centrality metrics

Lucia Cavallaro, Pasquale De Meo, Giacomo Fiumara, Antonio Liotta

Exploring soccer transfers in Spanish League–The hidden role of strategic differences among teams

Paulo Reis Mourao, Jesyca Salgado-Barandela

Anti-modularization for both high robustness and efficiency including the optimal case

Jaeho Kim, Yukio Hayashi

A proposal for ranking through selective computation of centrality measures

Daniele Bertaccini, Alessandro Filippo

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