Results 11 to 20 of about 5,055,398 (233)
Mixed logit models and network formation
Journal of Complex Networks, 2022 AbstractThe study of network formation is pervasive in economics, sociology, and many other fields. In this article, we model network formation as a ‘choice’ that is made by nodes of a network to connect to other nodes. We study these ‘choices’ using discrete-choice models, in which agents choose between two or more discrete alternatives. We employ the
Gupta, Harsh, Porter, Mason A.
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How to build transcriptional network models of mammalian pattern formation. [PDF]
PLoS ONE, 2008 Genetic regulatory networks of sequence specific transcription factors underlie pattern formation in multicellular organisms. Deciphering and representing the mammalian networks is a central problem in development, neurobiology, and regenerative medicine.
Chrissa Kioussi, Michael K Gross
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Generative network models of altered structural brain connectivity in schizophrenia
NeuroImage, 2021 Alterations in the structural connectome of schizophrenia patients have been widely characterized, but the mechanisms remain largely unknown. Generative network models have recently been introduced as a tool to test the biological underpinnings of ...
Xiaolong Zhang +19 more
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Econometric Models of Network Formation [PDF]
Annual Review of Economics, 2019 This article provides a selective review of the recent literature on econometric models of network formation. I start with a brief exposition on basic concepts and tools for the statistical description of networks; then I offer a review of dyadic models,
Áureo de Paula
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Econometric Models of Network Formation [PDF]
Annual Review of Economics, 2020 This article provides a selective review of the recent literature on econometric models of network formation. I start with a brief exposition on basic concepts and tools for the statistical description of networks; then I offer a review of dyadic models, focusing on statistical models on pairs of nodes, and I describe several developments of interest ...
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Linguistic emergence from a networks approach: The case of modern Chinese two-character words
PLoS ONE, 2021 The models of linguistic networks and their analytical tools constitute a potential methodology for investigating the formation of structural patterns in actual language use. Research with this methodology has just started, which can hopefully shed light
Jin Cong, Haitao Liu
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Individual choices in dynamic networks: an experiment on social preferences. [PDF]
PLoS ONE, 2014 Game-theoretic models of network formation typically assume that people create relations so as to maximize their own outcome in the network. Recent experiments on network formation suggest that the assumption of self-interest might be unwarranted and ...
Dennie van Dolder, Vincent Buskens
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A dynamic model of social network formation [PDF]
Proceedings of the National Academy of Sciences, 2000 We consider a dynamic social network model in which agents play repeated games in pairings determined by a stochastically evolving social network. Individual agents begin to interact at random, with the interactions modeled as games. The game payoffs determine which interactions are reinforced, and the network structure emerges as a consequence of
Skyrms, Brian, Pemantle, Robin
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A hierarchical network formation model [PDF]
Electronic Notes in Discrete Mathematics, 2015 Abstract We present a network formation model based on a particularly interesting class of networks in social settings, where individuals' positions are determined according to a topic-based or hierarchical taxonomy. In this game-theoretic model, players are located in the leaves of a complete b-ary tree as the seed network with the objective of ...
Atabati, Omid, Farzad, Babak
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Coevolutionary modeling in network formation [PDF]
2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2014 Network coevolution, the process of network topology evolution in feedback with dynamical processes over the network nodes, is a common feature of many engineered and natural networks. In such settings, the change in network topology occurs at a comparable time scale to nodal dynamics. Coevolutionary modeling offers the possibility to better understand
Ibrahim Al-Shyoukh +2 more
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