Michał Bojanowski

Postdoctoral researcher

alt
alt
Michal.Bojanowski@uab.cat
Research interests Social cohesion
Social networks
Analytical sociology

I am a computational sociologist (PhD from Utrecht University, the Netherlands), researcher and Assistant Professor, and a seasoned R developer and trainer. My main research interests focus on (dynamics of) social networks and mathematical/computational social science as tools for understanding conflict and cooperation. I am a researcher at the COALESCE Lab, Universitat Autònoma de Barcelona, participating in the Patchwork project, and an Assistant professor at the Chair of Quantitative Methods and Information Technology, Kozminski University.I am busy expressing professional love and passion towards:

  • Statistical modeling of networks with ERGMs based on “partial” network data such as ego-centric samples or aggregate network data (e.g. collected for the Network Scale-Up Method). These will be extremely handy in addressing research questions posed in the PATCHWORK project.
  • Complex network datasets. In particular, assembling them from non-obvious sources in a technically-advanced way. Some say it is Digital Humanities. Examples are projects: Mapping Atlantic Portuguese Empire (MAPE) or Law in social networks of late antique Aphrodito.
  • The Statnet Suite. Statnet is a suite of R packages for statistical social network analysis, visualization, and modeling focusing on Exponential-family Random Graph Models. I am a member of the Statnet Development Team since 2022.
  • My own R packages, which you can find on my GitHub profile.

Publications

  • alt
    IMPACT OF SURVEY DESIGN ON ESTIMATION OF EXPONENTIAL-FAMILY RANDOM GRAPH MODELS FROM EGOCENTRICALLY-SAMPLED DATA Krivitsky, P. N., Morris, M., Bojanowski, M. (2022). Social Networks, 69: 22-34. DOI
  • alt
    NETWORKS FROM ARCHIVES: RECONSTRUCTING NETWORKS OF OFFICIAL CORRESPONDENCE IN THE EARLY MODERN PORTUGUESE EMPIRE Błoch, A., Vasques Filho, D., Bojanowski, M. (2022). Social Networks, 69: 123-135. DOI
  • alt
    REACHING FOR UNIQUE RESOURCES: STRUCTURAL HOLES AND SPECIALIZATION IN SCIENTIFIC COLLABORATION NETWORKS Bojanowski, M., Czerniawska, D. (2020). Journal of Social Structure, 21: 1-34. DOI
  • alt
    LOCAL BROKERAGE INFORMATION AND ACCESS To UNIQUE INFORMATION Bojanowski, M. (2020). In: V. Buskens, R. Corten, & C. Snijders, Advances in the sociology of trust and cooperation: theory, experiments, and field studies. De Gruyter. Open-access PDF
  • alt
    MULTILEVEL NETWORK DATA FACILITATE STATISTICAL INFERENCE FOR CURVED ERGMS WITH GEOMETRICALLY WEIGHTED TERMS Stewart, J., Schweinberger, M., Bojanowski, M., Morris, M. (2019). Social Networks, 59: 98-119. DOI
  • alt
    INFERENCE FOR EXPONENTIAL-FAMILY RANDOM GRAPH MODELS FROM EGOCENTRICALLY-SAMPLED DATA WITH ALTER–ALTER RELATIONS Krivitsky, P., Morris, M. , Bojanowski, M. (2019). Working Paper. National Institute for Applied Statistics Research Australia, University of Wollongong, Australia. Open-access PDF
  • alt
    MEASURING SEGREGATION IN PERSONAL NETWORKS Bojanowski, M., Corten, R. (2014). Social Networks, 39: 14-32. DOI
  • alt
    COORDINATION IN DYNAMIC SOCIAL NETWORKS UNDER HETEROGENEITY Bojanowski, M., Buskens, V. (2011). Journal of Mathematical Sociology, 35 (4): 249-286. DOI / Open-access PDF

Projects

PATCHWORK

A network science approach to social cohesion in European societies

ERC Advanced Grant, grant no. 101020038