caa a22 4500 605475520 CHVBK 20210128100352.0 cr unu---uuuuu 210128e20151001xx s 000 0 eng 10.1007/s00199-015-0879-6 doi (NATIONALLICENCE)springer-10.1007/s00199-015-0879-6 An allocation rule for dynamic random network formation processes [Elektronische Daten] [Jean-François Caulier, Michel Grabisch, Agnieszka Rusinowska] Most allocation rules for network games presented in the literature assume that the network structure is fixed. We put explicit emphasis on the construction of networks and examine the dynamic formation of networks whose evolution across time periods is stochastic. Time series of networks are studied that describe processes of network formation where links may appear or disappear at any period. Moreover, convergence to an efficient network is not necessarily prescribed. Transitions from one network to another are random and ruled by a stochastic process, typically a Markov chain. We propose the link-based scenario allocation rule for such dynamic random network formation processes and provide its axiomatic characterization. By considering a monotone game and a particular (natural) network formation process, we recover the link-based flexible network allocation rule of Jackson (Games Econ Behav 51:128-154, 2005a). Springer-Verlag Berlin Heidelberg, 2015 Dynamic networks nationallicence Network game nationallicence Link-based allocation rule nationallicence Markov chain nationallicence Characterization nationallicence Caulier Jean-François Centre d'Economie de la Sorbonne, Université Paris I Panthéon-Sorbonne, Paris, France aut Grabisch Michel Centre d'Economie de la Sorbonne, Paris School of Economics, Université Paris I Panthéon-Sorbonne, 106-112 Bd de l'Hôpital, 75647, Paris Cedex 13, France aut Rusinowska Agnieszka Centre d'Economie de la Sorbonne, Paris School of Economics - CNRS, Paris, France aut Economic Theory Springer Berlin Heidelberg 60/2(2015-10-01), 283-313 0938-2259 60:2<283 2015 60 199 https://doi.org/10.1007/s00199-015-0879-6 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00199-015-0879-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Caulier Jean-François Centre d'Economie de la Sorbonne, Université Paris I Panthéon-Sorbonne, Paris, France aut NATIONALLICENCE 700 1- Grabisch Michel Centre d'Economie de la Sorbonne, Paris School of Economics, Université Paris I Panthéon-Sorbonne, 106-112 Bd de l'Hôpital, 75647, Paris Cedex 13, France aut NATIONALLICENCE 700 1- Rusinowska Agnieszka Centre d'Economie de la Sorbonne, Paris School of Economics - CNRS, Paris, France aut NATIONALLICENCE 773 0- Economic Theory Springer Berlin Heidelberg 60/2(2015-10-01), 283-313 0938-2259 60:2<283 2015 60 199