Researcher Profile

  • Professor at Swinburne

  • Social and technological innovation, organisational culture, learning and education, network effectiveness

  • Social and technological innovation, organisational culture, learning and education, network effectiveness

  • Lusher, D., Koskinen, J., & Robins, G. (eds), (2013). Exponential Random Graph Models for Social Networks: Theory, Methods and Applications. New York: Cambridge University Press. Structural Analysis in the Social Sciences Series.

    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.

    Lomi, A., Lusher, D., Pattison, P.E. & Robins, G. 2014, 'The focused organization of advice relations: A study in boundary crossing', Organization Science, vol. 25, no. 2, pp. 438-457

    Kashima, Y., Wilson, S., Lusher, D., Pearson, L.J. & Pearson, C. 2013, 'The acquisition of perceived descriptive norms as social category learning in social networks', Social Networks, vol. 35, no. 4, pp. 711-719.

    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.

    Bryant, R.A., Gallagher, H.C., Gibbs, L., Pattison, P. & MacDougall, C. et al. 2017, 'Mental health and social networks after disaster', American Journal of Psychiatry, vol. 174, no. 3, pp. 277-285

    Lusher, D., Kremer, P. & Robins, G. 2014, 'Cooperative and Competitive Structures of Trust Relations in Teams', Small Group Research, vol. 45, no. 1, pp. 3-36

    Gorman, S., Lusher, D., and Reeves, K. (2018). Reviewing the AFL’s Vilification Laws: Rule 35, reconciliation and racial harmony in Australian Football. Routledge: Abingdon UK.

    Kelaher, M., Sabanovic, H., La Brooy, C., Lock, M. & Lusher, D. et al. 2014, 'Does more equitable governance lead to more equitable health care? A case study based on the implementation of health reform in Aboriginal health Australia', Social Science and Medicine, vol. 123, pp. 278-286

    Lusher, D., Robins, G. & Kremer, P. 2010, 'The application of social network analysis to team sports', Measurement in Physical Education and Exercise Science, vol. 14, no. 4, pp. 211-224

  • Social Network Analysis And Network Disruption; and Social Influence – Micro, Meso And Macro Level


  • Twitter Handle     N/A
    Email Address dlusher@swin.edu.au

 

Dean Lusher

Overview

Dean Lusher is social network analysist, a Professor of Innovation Studies at Swinburne University of Technology and Head of the Social Network Research Laboratory, a world-leading group in statistical network models. His expertise is specifically in the theory and application of statistical network models. Dean is also a Board Member of the International Network for Social Network Analysis (INSNA) and an editorial board member for the journal 'Social Networks'. Dean is a founding member of the Australian Network for Social Network Analysis (ANSNA), and Chair of the Organising Committee for the Sunbelt International Social Networks Conference 2022 in Cairns, Australia.