I’m 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. I contribute code, documentation, and training. Statnet is a suite of R packages for statistical social network analysis, visualization, and modeling focusing on Exponential-family Random Graph Models.
- My own R packages, which you can find among the projects.
COALESCE Lab ∙ Universitat Autònoma de Barcelona ∙ 2022 - present
Chair of Quantitative Methods ∙ Kozminski University ∙ 2018 - present
ICM ∙ University of Warsaw ∙ 2010 - 2018
PhD in Sociology ∙ ICS / Utrecht University ∙ 2012
Institute of Philosophy and Sociology ∙ Polish Academy of Sciences ∙ 2003 - 2005
MA in Sociology ∙ University of Warsaw ∙ 2003
ICPSR Summer Program ∙ University of Michigan ∙ 2002
A Network Science Approach to Social Cohesion in European Societies. An ERC-funded project lead by Miranda Lubbers (UAB).Read more
The workshop will talk you through more advanced features of igraph such as node and edge indexing, segregation measurement and community detection.Read more
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