![]()
References
Ackland, R. (2013) Web Social Science: Concepts, Data and Tools for Social Scientists in the Digital Age. London: Sage.
adams, J., Faust, K. and Lovasi, G. (2012) Capturing context: Integrating spatial and social network analysis. Social Networks, 34, 1–5.
Aggarwal, C. (ed.) (2011) Social Network Data Analytics. New York: Springer.
Agneessens, F. and Everett, M. (2013) Introduction to the special issue on advances in two-mode networks. Social Networks, 35, 145–147.
Airoldi, E., Blei, D., Feinberg, S. and Xing, E. (2008) Mixed membership stochastic blockmodels. Journal of Machine Learning Research, 9, 1981–2014.
Aitken, C., Lewis, J., Tracy, S., etal. (2008) High incidence of hepatitis C virus reinfection in a cohort of injecting drug users. Hepatology, 48, 1746–1752.
Aitken, C., Lewis, J., Hocking, J., Bowden, D. and Hellard, M. (2009) Does information about IDUs’ injecting networks predict exposure to the hepatitis C virus? Hepatitis Monthly, 9, 17–23.
Albert, R. and Barabási, A. L. (2002) Statistical mechanics of complex networks. Reviews of Modern Physics, 74, 47.
An, W. (2011) Models and methods to identify peer effects. In J. Scott and P. Carrington (eds), The SAGE Handbook of Social Network Analysis (pp. 514–532). London: Sage.
Aral, S. and Walker, D. (2011) Creating social contagion through viral product design: A randomized trial of peer influence in networks. Management Science, 57, 1623–1639.
Ball, B. and Newman, M. (2013) Friendship networks and social status. Network Science, 1, 16–30.
Barabási, A. (2012) The network takeover. Nature Physics, 8, 14–16.
Barabási, A.L. and Albert, R. (1999) Emergence of scaling in random networks. Science, 286, 509–512.
Barber, M. (2007) Modularity and community detection in bipartite networks. Physical Review E, 76, 066102.
Barnes, J. (1954) Class and committees in a Norwegian island parish. Human Relations, 7, 39–58.
Barrat, A., Cattuto, C., Colizza, V., etal. (2013) Empirical temporal ...