Network dynamics and organizations: A review and research agenda
This paper reviews the growing body of work on network dynamics in organizational
research, focusing on a corpus of 187 articles—both “micro”(ie, interpersonal) and …
research, focusing on a corpus of 187 articles—both “micro”(ie, interpersonal) and …
[HTML][HTML] Network ecology: Tie fitness in social context (s)
Social relations are embedded in material, cultural, and institutional settings that affect
network dynamics and the resulting topologies. For example, romantic entanglements are …
network dynamics and the resulting topologies. For example, romantic entanglements are …
Step by step: Capturing the dynamics of work team process through relational event sequences
The emergence of group constructs is an unfolding process, whereby actions and
interactions coalesce into collective psychological states. Implicitly, there is a connection …
interactions coalesce into collective psychological states. Implicitly, there is a connection …
Micro Effects on Macro Structure in Social Networks
SW Duxbury - Sociological Methodology, 2024 - journals.sagepub.com
How do individuals' network selection decisions create unique network structures? Despite
broad sociological interest in the micro-level social interactions that create macro-level …
broad sociological interest in the micro-level social interactions that create macro-level …
Hierarchical models for relational event sequences
Interaction within small groups can often be represented as a sequence of events, each
event involving a sender and a recipient. Recent methods for modeling network data in …
event involving a sender and a recipient. Recent methods for modeling network data in …
A relational event approach to modeling behavioral dynamics
CT Butts, CS Marcum - Group processes: Data-driven computational …, 2017 - Springer
This chapter provides an introduction to the analysis of relational event data (ie, actions,
interactions, or other events involving multiple actors that occur over time) within the …
interactions, or other events involving multiple actors that occur over time) within the …
Reinforced fuzzy clustering-based ensemble neural networks
In this paper, we propose reinforced fuzzy clustering-based ensemble neural networks
(FCENNs) classifier. The objective of this paper is focused on the development of the design …
(FCENNs) classifier. The objective of this paper is focused on the development of the design …
Understanding networks with exponential-family random network models
Z Wang, IE Fellows, MS Handcock - Social Networks, 2024 - Elsevier
The structure of many complex social networks is determined by nodal and dyadic
covariates that are endogenous to the tie variables. While exponential-family random graph …
covariates that are endogenous to the tie variables. While exponential-family random graph …
No longer discrete: Modeling the dynamics of social networks and continuous behavior
NMD Niezink, TAB Snijders… - Sociological …, 2019 - journals.sagepub.com
The dynamics of individual behavior are related to the dynamics of the social structures in
which individuals are embedded. This implies that in order to study social mechanisms such …
which individuals are embedded. This implies that in order to study social mechanisms such …
Varying-coefficient models for dynamic networks
Dynamic networks are commonly used to model relational data that are observed over time.
Statistical models for such data should capture both the temporal variation of the relational …
Statistical models for such data should capture both the temporal variation of the relational …