Exponential random graph models for multilevel networks
By Peng Wang, Garry Robins, P. Pattison, Emmanuel Lazega. Soc. Networks, 2013
334 citations recorded by the source corpus.
Subfields: Sociology and Political Science, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/3c314733ac7d25b075c0c8b8f8b3df8095fc84d9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Sociology and Political Science
- Peng Wang
- Garry Robins
- Zhen Wang
- Christoph Stadtfeld
- Emily Cox Pahnke
- Ji Youn Kim
- Michael D. Howard
- Warren Boeker
In Statistical and Nonlinear Physics
- M. A. Porter
- Alex Arenas
- Yamir Moreno
- Zhen Wang
- Marc Barthelemy
- Stefano Boccaletti
- Peng Wang
- J. P. Gleeson
Citations in the corpus
- Interactions, Actors, and Time: Dynamic Network Actor Models for Relational Events (2017, background): “2016; Vörös and Snijders 2017) and, in particular, multimode or multilevel networks (Snijders et al. 2013; Wang et al. 2013; Lomi and Stadtfeld 2014; Hollway and Koskinen 2016).”
- Network structure and institutional complexity in an ecology of water management games (2014, background): “Furthermore, analyzing the multinode structure of SESs is consistent with emerging research and methods on multilevel networks (Wang et al. 2013).”
- Multilayer networks (2013, background): “networks X X X X X Any 1 [143] Hypernetwork X X X X X Any 1 [169,314] Overlay network X X X X X 2 1 [125,217] Composite network X X X X X 2 1 [355] Multilevel network** X Any 1 [196,344] X X X Any 1 [91,95] Multiweighted graph X X X X X Any 1 [275] Heterogeneous network X 2 1 [72,373] Multitype netw”
- Understanding network formation in strategy research: Exponential random graph models (2016, background): “Given the flexibility of ERGMs to accommodate different roles for each organization as actor attributes and different types of relationships as dyad-co-variate or exogenous networks, ERGMs provide an opportunity to examine the influence of tie multiplexity on the formation of networks among organiza”
- The structure and dynamics of multilayer networks (2014, background): “• multilayer network ensembles, which are ensembles of networks with N nodes in each layer satisfying a certain set of structural constraints [49,69,113,124].”