22 Hierarchical Mixed Membership Stochastic Blockmodels for Multiple Networks and Experimental Interventions

22.

[1]  Alan J. Daly,et al.  Occupying the Principal Position: Examining Relationships Between Transformational Leadership, Social Network Position, and Schools’ Innovative Climate , 2010 .

[2]  S. Wasserman,et al.  Building stochastic blockmodels , 1992 .

[3]  E. Xing,et al.  Discrete Temporal Models of Social Networks , 2006, SNA@ICML.

[4]  James P. Spillane,et al.  Using social network methods to study school leadership , 2009 .

[5]  William R. Penuel,et al.  The Organization as a Filter of Institutional Diffusion , 2013 .

[6]  David B. Dunson,et al.  Bayesian Data Analysis , 2010 .

[7]  P. Arabie,et al.  An algorithm for clustering relational data with applications to social network analysis and comparison with multidimensional scaling , 1975 .

[8]  S. Wasserman,et al.  Logit models and logistic regressions for social networks: III. Valued relations , 1999 .

[9]  S. Wasserman,et al.  Logit models and logistic regressions for social networks: II. Multivariate relations. , 1999, The British journal of mathematical and statistical psychology.

[10]  Edoardo M. Airoldi,et al.  A Survey of Statistical Network Models , 2009, Found. Trends Mach. Learn..

[11]  David Krackhardt,et al.  Heider vs Simmel: Emergent Features in Dynamic Structures , 2006, SNA@ICML.

[12]  Yong Zhao,et al.  Social Capital and the Diffusion of Innovations within Organizations: Application to the Implementation of Computer Technology in Schools , 2004 .

[13]  Peter D. Hoff,et al.  Latent Space Approaches to Social Network Analysis , 2002 .

[14]  José M. Bernardo,et al.  Bayesian Statistics , 2011, International Encyclopedia of Statistical Science.

[15]  Marijtje A. J. van Duijn,et al.  The Multilevel p2 Model , 2006 .

[16]  Anton H. Westveld,et al.  A mixed effects model for longitudinal relational and network data, with applications to international trade and conflict , 2010, 1009.1436.

[17]  P. Pattison LOGIT MODELS AND LOGISTIC REGRESSIONS FOR SOCIAL NETWORKS: I. AN INTRODUCTION TO MARKOV GRAPHS AND p* STANLEY WASSERMAN UNIVERSITY OF ILLINOIS , 1996 .

[18]  S. Goodreau,et al.  Birds of a feather, or friend of a friend? using exponential random graph models to investigate adolescent social networks* , 2009, Demography.

[19]  Peter D. Hoff,et al.  Modeling Dependencies in International Relations Networks , 2004, Political Analysis.

[20]  Eric D. Kolaczyk,et al.  Statistical Analysis of Network Data: Methods and Models , 2009 .

[21]  Edoardo M. Airoldi,et al.  Mixed Membership Stochastic Blockmodels , 2007, NIPS.

[22]  James W. Newton The Implementation Gap: Understanding Reform in High Schools , 2010 .

[23]  E. Xing,et al.  A state-space mixed membership blockmodel for dynamic network tomography , 2008, 0901.0135.

[24]  Brian W. Junker,et al.  Hierarchical Network Models for Education Research , 2013 .

[25]  Edoardo M. Airoldi,et al.  A latent mixed membership model for relational data , 2005, LinkKDD '05.

[26]  M. M. Meyer,et al.  Statistical Analysis of Multiple Sociometric Relations. , 1985 .