Network dynamics and organizations: A review and research agenda

H Chen, A Mehra, S Tasselli… - Journal of …, 2022 - journals.sagepub.com
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 …

[HTML][HTML] Network ecology: Tie fitness in social context (s)

M Doehne, DA McFarland, J Moody - Social Networks, 2024 - Elsevier
Social relations are embedded in material, cultural, and institutional settings that affect
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

A Schecter, A Pilny, A Leung, MS Poole… - Journal of …, 2018 - Wiley Online Library
The emergence of group constructs is an unfolding process, whereby actions and
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 …

Hierarchical models for relational event sequences

C DuBois, CT Butts, D McFarland, P Smyth - Journal of Mathematical …, 2013 - Elsevier
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 …

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 …

Reinforced fuzzy clustering-based ensemble neural networks

EH Kim, SK Oh, W Pedrycz, Z Fu - IEEE Transactions on Fuzzy …, 2019 - ieeexplore.ieee.org
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 …

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 …

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 …

Varying-coefficient models for dynamic networks

J Lee, G Li, JD Wilson - Computational Statistics & Data Analysis, 2020 - Elsevier
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 …