Michał Bojanowski

Postdoctoral researcher

Michal.Bojanowski@uab.cat

Research interests Social cohesion
Social networks
Analytical sociology
Computational Social Science
Inequality

I am a social scientist, a seasoned R developer and trainer. My main research interests focus on (the dynamics of) social networks and mathematical/computational social science as tools for understanding conflict and cooperation. I am a researcher at the COALESCE Lab at the Department of Social and Cultural Anthropology of the Universitat Autònoma de Barcelona, participating in the Patchwork project where I apply my research interests to understand how cohesion and segregation emerge from networks in European societies. I am also an Assistant professor at the Chair of Quantitative Methods and Information Technology, Kozminski University in Warsaw.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, a method invented by anthropologist Russ Bernard and his team). These will be extremely handy in addressing research questions posed in the PATCHWORK project, and they are pivotal for understanding social cohesion from a relational perspective.
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 Examples are projects: Mapping Atlantic Portuguese Empire (MAPE), where we explore a vast amount of historical documents to understand how people in the Portuguese colonies communicated with the administration in Portugal over 200 years, showing how non-elite groups shaped the policies in colonial spaces, or "Law in social networks of late antique Aphrodite", which also connects history, archaeology, ethnology, and cultural anthropology in novel ways to study how small communities impacted on law.
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

THE MEASUREMENT PROPERTIES OF AGGREGATED RELATIONAL DATA AND NSUM-ESTIMATED NETWORK SIZE Lubbers, M. J., Bojanowski, M., Targarona Rifa, N., Ciordia, A. (2025). Sociological Methodology (accepted). Preprint
AUTOMATED NAME SELECTION FOR THE NETWORK SCALE-UP METHOD Fenoy, A., Bojanowski, M., Lubbers, M. J. (2024). Field Methods, 36 (3): 249-265. Preprint
Do NBA TEAMS AVOID TRADING WITHIN THEIR OWN DIVISION? adams, j., Bojanowski, M. (2023). Network Science, 11 (4): 657-669. DOI
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
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
HOW DO PEOPLE'S ACQUAINTANCES SHAPE THEIR SUPPORT FOR ECONOMIC REDISTRIBUTION AND SOCIAL PROTECTION? Lubbers, M. J., Bojanowski, M. (2022). Dissemination article. The Social Observatory of La Caixa Foundation, Barcelona. Publisher's website
SLAVES, FREEDMEN, MULATTOS, PARDOS, AND INDIGENOUS PEOPLES. THE EARLY MODERN SOCIAL NETWORKS OF THE POPULATION OF COLOR IN THE ATLANTIC PORTUGUESE EMPIRE Bloch, Agata, Vasques Filho, D., Bojanowski, M. (2021). In: Roopika Risam and Kelly Baker Josephs, The Digital Black Atlantic. University of Minnesota Press. Publisher's website
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
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
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
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
MEASURING SEGREGATION IN PERSONAL NETWORKS Bojanowski, M., Corten, R. (2014). Social Networks, 39: 14-32. DOI
COORDINATION IN DYNAMIC SOCIAL NETWORKS UNDER HETEROGENEITY Bojanowski, M., Buskens, V. (2011). Journal of Mathematical Sociology, 35 (4): 249-286. DOI / Open-access PDF

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Projects

PATCHWORK

A network science approach to social cohesion in European societies

ERC Advanced Grant, grant no. 101020038