Results 51 to 60 of about 5,055,398 (233)
Normal Approximation in Large Network Models
, 2021 We develop a methodology for proving central limit theorems in network models with strategic interactions and homophilous agents. Since data often consists of observations on a single large network, we consider an asymptotic framework in which the ...
Leung, Michael P., Moon, Hyungsik Roger
core
A Network Formation Model Based on Subgraphs [PDF]
The Review of Economic Studies, 2016 We develop a new class of random graph models for the statistical estimation of network formation—subgraph generated models (SUGMs). Various subgraphs—e.g., links, triangles, cliques, stars—are generated and their union results in a network.
Arun G. Chandrasekhar, M. Jackson
semanticscholar +1 more source
Belgeo, 2016 This paper explores the urban-geographical potential of simulation approaches combining spatial and topological processes. Drawing on Vértes et al.'s (2012) economical clustering model, we propose a generative network model integrating factors captured ...
Liang Dai +4 more
doaj +1 more source
From innovation to diversification: a simple competitive model [PDF]
, 2015 Few attempts have been proposed in order to describe the statistical features and historical evolution of the export bipartite matrix countries/products.
Di Clemente, Riccardo +3 more
core +4 more sources
Spatial Modeling Approach for Dynamic Network Formation and Interactions
Journal of business & economic statistics, 2019 This study primarily seeks to answer the following question: How do social networks evolve over time and affect individual economic activity? To provide an adequate empirical tool to answer this question, we propose a new modeling approach for ...
Xiaoyi Han, Chih-Sheng Hsieh, S. Ko
semanticscholar +1 more source
Social Networks and Choice Set Formation in Discrete Choice Models
Econometrics, 2016 The discrete choice literature has evolved from the analysis of a choice of a single item from a fixed choice set to the incorporation of a vast array of more complex representations of preferences and choice set formation processes into choice models ...
Bruno Wichmann +2 more
doaj +1 more source
An interpretable approach for social network formation among heterogeneous agents
Nature Communications, 2018 Understanding the mechanisms of network formation is central in social network analysis. Network formation has been studied in many research fields with their different focuses; for example, network embedding algorithms in machine learning literature ...
Yuan Yuan +2 more
semanticscholar +1 more source
Scientific Reports, 2018 The dynamics of social networks is a complex process, as there are many factors which contribute to the formation and evolution of social links. While certain real-world properties are captured by the degree-driven preferential attachment model, it still
Alexandru Topîrceanu +2 more
semanticscholar +1 more source
Detecting Latent Communities in Network Formation Models
, 2020 This paper proposes a logistic undirected network formation model which allows for assortative matching on observed individual characteristics and the presence of edge-wise fixed effects. We model the coefficients of observed characteristics to have a latent community structure and the edge-wise fixed effects to be of low rank.
MA, Shujie, SU, Liangjun, ZHANG, Yichong
openaire +3 more sources
A model of the formation of multilayer networks
Journal of Economic Theory, 2021 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Billand, Pascal +4 more
openaire +3 more sources