Dr Bálint Diószegi

Dr Bálint Diószegi

Lecturer in Network Science

Bálint Diószegi joined the University of Greenwich in 2022 as a Lecturer in Network Science. Previously, he worked as a Research Associate at Imperial College London, as well as at SKEMA Business School. He received his PhD in Management at ETH Zurich, and his MSc in Sociology at Eotvos Lorand University, Budapest. His research focuses on the cognitive and behavioural foundations of social networks, using sociometric badge technology and experimental approaches.

He is an Honorary Research Fellow at Imperial College London, and a Fellow of the Higher Education Academy (FHEA).

Office hours: by appointment

Business and management

Responsibilities within the university
  • Module leader for “Managing Global Business Networks”
  • Personal tutoring and dissertation supervision

Research / Scholarly interests
  • Social networks
  • Sociometric badges
  • Networks and cognition

Recent publications

Articles

  • Carnabuci, G. and Diószegi, B., 2015. Social networks, cognitive style, and innovative performance: A contingency perspective. Academy of Management Journal, 58(3), pp.881-905.

Conference proceedings

  • Diószegi, B., Ter Wal, A., Tartari, V. and Laureiro Martinez, D., 2020. Deliberate vs. Spontaneous Networking Behaviors and Information Search: An Interactive Experiment. In Academy of Management Best Paper Proceedings (Vol. 2020, No. 1, p. 20055). Briarcliff Manor, NY 10510: Academy of Management.

Working papers

  • Tartari, V., Ter Wal, A., Dioszegi, B. and McKelvey, M. (2024), Bridging the Gap: Boundary Spanners’ Selective Network Mobilization across the Industry-Academia Divide Social Science Research Network (SSRN): 4968564 Dioszegi, B., Laureiro-Martinez, D., Brusoni, S., Ter Wal, A. (2024), The recency effect in cognitive network activation. Social Science Research Network (SSRN): 4968342
  • Dioszegi, B., Ter Wal, A. (2024), Examining networking behavior in group settings using wearable sensors. In: Steve Kozlowski, Haley Hung, Nale Lehmann-Willenbrock, Albert Ali Salah (eds.), Computational Group and Team Dynamics: Forging an Interdisciplinary Science. Oxford University Press, New York (1st)