# Find books, journal articles and other MelNet publications

### ERGM Book

Exponential random graph models (ERGMs) are increasingly applied to observed network data and are central to understanding social structure and network processes. This edited volume provides a self-contained, exhaustive account of the theoretical and methodological underpinnings of ERGMs.

### Doing Social Network Research

With straight-forward guidance on research design and data collection, as well as social network analysis, this book takes you start to finish through the whole process of doing network research.

### Multilevel networks

Networks provide a more complex representation of interdependence. In our research we extend exponential random graph models (ERGMs) to multilevel networks. We present a general formulation of a multilevel network structure.

### See our representative list of publications by the MelNet team below

Bryant, R.A., Gallagher, H. C., Gibbs, L., Pattison, P. … Lusher, D. (2017). Mental health and social networks following disaster.

*American Journal of Psychiatry*. Advance online publication.Gallagher, H. C.,

*Language Learning*, 65 (4), 929-962.Brailly J., Favre G., Chatellet J., Lazega E. (2015). Embeddedness as a Multilevel Problem. A Case Study in Economic Sociology. Social Networks

Brennecke, J., & Rank, O. N. (2016): The interplay between formal project memberships and informal advice seeking in knowledge-intensive firms: A multilevel network approach. Social Networks

Lomi, A., Lusher, D., Pattison, P., & Robins, G. L. (2014). The focused organization of advice relations: A case study of boundary-crossing ties in a multi-unit business group. Organization Science, 25(2).

Lusher, D., Koskinen, J., & Robins, G. (Eds.). (2013). Exponential Random Graph Models for Social Networks: Theory, Methods and Applications. New York: Cambridge University Press.

Lusher, D., Robins, G, Pattison, P., & Lomi, A. (2012). "Trust Me": Social Mechanisms for Expressed and Perceived Trust in an Organization. Social Networks, 34, 410-424.

Pattison, & Robins, G. (2002). Neighbourhood-based models for social networks. Sociological Methodology, 32, 301-337.

Pattison, & Wasserman, S. (1999). Logit models and logistic regressions for social networks: II. Multivariate relations. British Journal of Mathematical & Statistical Psychology, 52, 169-193.

Robins, G. (2015). Doing Social Networks Research: Network Research Design for Social Scientists. Los Angeles: Sage.

Robins, G., & Morris, M. (2007). Advances in exponential random graph (p*) models. Social Networks, 29(2), 169-172.

Robins, G., Pattison, P., Kalish, Y., & Lusher, D. (2007). An introduction to exponential random graph (p*) models for social networks. Social Networks, 29(2), 173-191.

Robins, G., Pattison, P., & Wang, P. (2009). Closure, connectivity and degree distributions: Exponential random graph (p*) models for directed social networks. Social Networks, 31(2), 105-117. doi: 10.1016/j.socnet.2008.10.006

Robins, G., Snijders, T., Wang, P., Handcock, M., & Pattison, P. (2007). Recent developments in exponential random graph (p*) models for social networks. Social Networks, 29(2), 192-215. doi: 10.1016/j.socnet.2006.08.003

Snijders, T. A. B., Pattison, P. E., Robins, G. L., & Handcock, M. S. (2006). New specifications for exponential random graph models. In R. M. Stolzenberg (Ed.), Sociological Methodology 2006, Vol 36 (Vol. 36, pp. 99-153).

Wang, P., Robins, G., Pattison, P., & Lazega, E. (2013). Exponential random graph models for multilevel networks. Social Networks, 35(1), 96-115.

Wang, P., Sharpe, K., Robins, G. L., & Pattison, P. E. (2009). Exponential random graph (p*) models for affiliation networks. Social Networks, 31(1), 12-25.