Implementation of network exposure model and affiliation exposure model to address big graph data networks for social network analysis and network analysis that rely on these computations. For details about the aforementioned network computation refer to the References below.
See src/main.c for sample execution.
Both models requires two files per network residing in folder - a network data file and the attribute data file. For affiliation exposure model the attribute data file also has the mode identification.
*Sample large datasets can be found here: https://bit.ly/2JDHcqF.
NET-EXPO Core has been funded by National Institute of Allergy and Infectious Diseases of the National Institutes of Health under Award Number R01AI130460-03S1
All work contained in this package is licensed under the Apache License, Version 2.0. See the include LICENSE file.
*Marsden, P.V., Friedkin, N.E.: Network studies of social influence. Sociological Methods & Research 22(1) (1993) 127–151.
*Burt, R.S.: Social contagion and innovation: Cohesion versus structural equivalence. American journal of Sociology 92(6) (1987) 1287–1335.
*Valente, T.W.: Network models of the diffusion of innovations. Computational & Mathematical Organization Theory 2(2) (1996) 163–164
*Valente, T.W.: Network models and methods for studying the diffusion of innovations. Models and methods in social network analysis 28 (2005) 98
*Fujimoto, K., Chou, C.P., Valente, T.W.: The Network Autocorrelation Model using Two-mode Data: Affiliation Exposure and Potential Bias in the Autocorre- lation Parameter. Social networks 33(3) (July 2011) 231–243
*Fujimoto, K., Unger, J.B., Valente, T.W.: A network method of measuring affiliation-based peer influence: Assessing the influences of teammates’ smoking on adolescent smoking. Child Development 83(2) (2012) 442–451