Measuring agility of networked organizational structures via network entropy and mutual information

DOI10.1016/j.amc.2010.03.132zbMath1191.91051OpenAlexW2004769308MaRDI QIDQ984305

Sumit Roy, Kevin C. Desouza, Yu-An Lin

Publication date: 19 July 2010

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2010.03.132

zbMATH Keywords

network evolutionnetwork measurementnetwork entropyorganization agilityorganizational networks

Mathematics Subject Classification ID

Social networks; opinion dynamics (91D30) Small world graphs, complex networks (graph-theoretic aspects) (05C82) Deterministic network models in operations research (90B10)

Uses Software

• Pajek

Cites Work

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• Logit models and logistic regressions for social networks. I: An introduction to Markov graphs and \(p^*\)
• Unequal connections
• Job contact networks.
• On the measurement of enterprise agility
• On the formation of interaction networks in social coordination games.
• The evolution of social and economic networks.
• Strongly stable networks
• A strategic model of social and economic networks
• Emergence of Scaling in Random Networks
• Maximal Flow Through a Network
• On a routing problem
• Stochastic actor‐oriented models for network change
• A Noncooperative Model of Network Formation
• Performance Analysis of Communications Networks and Systems
• Collective dynamics of ‘small-world’ networks
• A dynamic model of network formation

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