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Actor-Based Models for Longitudinal Networks

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Synonyms

Actor-oriented modelling; Agent-based models; Stochastic actor-based models

Glossary

Actors:

Nodes of the network graph

Behavior:

Changing characteristics of actors

Covariates:

Variables which can depend on the actors (actor covariates) or on pairs of actors (dyadic covariates). They are considered “exogenous” variables in the sense that they are not determined by the stochastic process underlying the model

Dyad:

Pair of actors of the network

Dyadic Indicator:

Binary variable indicating the presence or absence of a tie between two actors

Effects:

Specifications of the objective function

Longitudinal Networks:

Repeated measures of networks over time

Markov Chain:

Stochastic process where the probability of future states given the present state does not depend on past states

Method of Moments:

Statistical estimation method consisting of equating sample moments of a distribution with unobserved theoretic moments in order to get an approximation to the solutions of the likelihood...

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Actor-Based Models for Longitudinal Networks, Fig. 1
Actor-Based Models for Longitudinal Networks, Fig. 2

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Acknowledgments

Nial Friel’s research was supported by a Science Foundation Ireland Research Frontiers Program grant, 09/RFP/MTH2199.

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Correspondence to Alberto Caimo .

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Caimo, A., Friel, N. (2018). Actor-Based Models for Longitudinal Networks. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-7131-2_166

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