Modeling social influence through network autocorrelation: constructing the weight matrix
By Roger Th. A. J. Leenders. Soc. Networks, 2002
615 citations recorded by the source corpus.
Subfields: Sociology and Political Science, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/33f57f2f632d89950909b31c75fae7317e6ea0cb
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
- Cathy H. C. Hsu
- A. O’Malley
- Michael Trusov
- Ron A. Boschma
- S. Cheng
- Tom Broekel
- Peter V. Marsden
- J. Paul Elhorst
In Statistical and Nonlinear Physics
- A. O’Malley
- Ron A. Boschma
- Tom Broekel
- Peter V. Marsden
- J. Paul Elhorst
- Michael Scharkow
- Randolph E. Bucklin
- George E. Tita
Citations in the corpus
- Spatializing the Social Networks of Gangs to Explore Patterns of Violence (2011, background): “This work is an important advance in the modeling of influence by a general contagion process which too often assumes that transmission by social networks occurs through the direct social contact among individuals residing only in spatially adjacent communities (Loftin 1986; Morenoff 2003). Recent w”
- Knowledge networks in the Dutch aviation industry: The proximity paradox (2012, methodology): “The use of so-called network autocorrelation models allows circumventing this problem (see, e.g., Anselin, 1988; Leenders, 2002).”
- Linear Spatial Dependence Models for Cross-Section Data (2014, methodology): “One major weakness of spatial econometric models is that the spatial weights matrix W cannot be estimated but needs to be specified in advance and that economic theory underlying spatial econometric applications often has little to say about the specification of W (Leenders 2002).”
- Peer Influence, Internet use and Cyberbullying: A Comparison of Different Context Effects among German Adolescents (2013, methodology): “Through the procedure of row normalization we then created the so-called weight matrix W: The matrix is thereby weighted proportional to a person’s out-degree and deals with the influence exerted on this person (ego) (Leenders, 2002).”
- The analysis of social networks (2008, methodology): “Deciding how to use network data to construct the weight matrix (or matrices) is an important step in the application of these models (Leenders 2002).”