The statistical evaluation of social network dynamics

By Tom A. B. Snijders. 2001

1,311 citations recorded by the source corpus.

Subfields: Experimental and Cognitive Psychology, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/f274d74457ad8b32b0b6e0aee0e89055c9c75655

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In Experimental and Cognitive Psychology

In Statistical and Nonlinear Physics

Citations in the corpus

Ties That Last (2013, background): “Social network research focuses almost exclusively on factors of tie formation (Coleman, 1974; Snijders, 2001; Levi Martin and Yeung, 2006; Robins et al., 2007; Baldassari and Diani, 2007).”
A spatial model incorporating dynamic, endogenous network interdependence: A political science application (2010, background): “In the network analytic tradition, Snijders and colleagues [61–63,65,66] have advanced perhaps furthest on this crucial next task in empirical modeling of dynamic, endogenous networks cum interdependence.”
Social Times of Network Spaces: Network Sequences and Foreign Investment in Hungary1 (2006, background): “1) in countries such as Argentina, Brazil, Vietnam, the Philippines, and South Africa.”
An introduction to exponential random graph (p*) models for social networks (2007, background): “To understand network evolution (Snijders, 2001) or multiple network structures (Lazega & Pattison, 1999), models can be of great value.”
The Role of External Environment in Upper Echelons Theory (2014, background): “Actor-based theories of network dynamics maintain that individual choices and actions can influence the overall network structure (Snijders, 2001; Snijders & Steglich, 2013).”
The Alignment of the Informal and Formal Organizational Supports for Reform: Implications for Improving Teaching in Schools (2010, background): “Analysts can examine network evolution, testing whether network characteristics such as being part of the same advice subgroup predicts the formation of a new social tie, independent of whether two individuals shared a tie in the past (Snijders, 2001).”
Modeling the Coevolution of Networks and Behavior (2007, methodology): “This is further explained (for network dynamics only) in Snijders (2001, 2005).”
Dynamical Models and tracking regret in online convex programming (2013, background): “…to improve time series estimation from compressed sensing observations (Angelosante et al., 2009; Vaswani & Lu, 2010) or for time-varying networks (Snijders, 2001; Kolar et al., 2010); the associated algorithms, however, are typically batch methods poorly suited to large quantities of streaming…”
A multilevel network study of the effects of delinquent behavior on friendship evolution (2003, methodology): “The actor-oriented network evolution model of Snijders (2001) and Snijders and van Duijn (1997) is used to represent the development of these networks, and to assess the role of delinquent behavior in the network development.”
Testing Multitheoretical, Multilevel Hypotheses About Organizational Networks: An Analytic Framework and Empirical Example (2006, methodology): “While the statistical models, including the p* family of models, have incorporated techniques to test hypotheses in the ten situations described in this section, additional efforts are being made to address the more complicated scenarios, such as the two illustrated above (Pattison & Robins, 2002; S”
Micro-Macro Links and Microfoundations in Sociology (2011, background): “Good examples of this are statistical models for the co-evolution of networks and behavior (e.g., Snijders, 2001).”
Recovering time-varying networks of dependencies in social and biological studies (2009, background): “[3], we must have uij = |θ ij |, and similarly v ij = |θ ij−θ ij |, in which case the objectives in Eq.”
9. Neighborhood-Based Models for Social Networks (2002, methodology): “…Model parameters are often currently estimated using a maximum pseudo-likelihood procedure (Strauss & Ikeda, 1990), but other Markov Chain Monte Carlo estimation approaches are also under investigation (e.g., Corander, Dahmström & Dahmström, 1998; Crouch & Wasserman, 1998, Snijders, 2001).”