Michal Bojanowski
Biographic Data
| ID | 636076 |
|---|---|
| NAME | Michal Bojanowski |
| GIVEN NAMES | Michal |
| FAMILY NAME | Bojanowski |
| SIGNATURE | BOJANOWSKI M |
| AFFILIATIONS | Kozminski University |
| ORCID | 0000-0001-7503-852X |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 10 |
| WORKS AS AUTHOR | 11 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
From hidden populations to social structure
Unveiling the Critical Nexus of Data Preprocessing and Transparent Documentation for Result Quality and Reproducibility in Digital History
This study underscores the importance of adequate data preprocessing, transparency, and documentation in digital history research, showcasing how these often overlooked practices impact research quality and reproducibility. We present a topic modelling case study involving over 160,000 records of official correspondence of the Atlantic Portuguese Empire from 1640 to 1822 to illustrate how these practices, associated with standardised formats and …
The Measurement Properties of Aggregated Relational Data and NSUM-Estimated Network Size
Aggregated relational data (ARD), derived from questions of the form “How many people do you know who [belong to subpopulation X]?” are widely used to estimate the size and composition of social networks, often adopting the network scale-up method (NSUM). However, their measurement properties are insufficiently studied. The authors address this gap by assessing (1) the test-retest reliability of a large set of ARD questions and NSUM-estimated net…
Automated Name Selection for the Network Scale-up Method
To estimate the distribution of the number of acquaintances of the members of a society, the network scale-up method asks survey respondents about the number of people they know with features for which national statistics are available. While many features have been used for this purpose, first names have been suggested to produce particularly low levels of transmission error and recall bias. For this method to be precise, a set of names needs to…
Impact of survey design on estimation of exponential-family random graph models from egocentrically-sampled data
The Digital Black Atlantic
This timely collection of essays about the relationship between digital humanities and Black Atlantic studies offers critical insights into race, migration, media, and scholarly knowledge production. It spans the African diasporaâ s rangeâ from Africa to North America, Europe, and the Caribbeanâ while its essayists span academic fieldsâ from history and literary studies to musicology, game studies, and library and information studies
Reaching for Unique Resources
On some fundamental level, we can think of scholars as actors possessing, or controlling, various types of resources. Collaboration in science is understood here as a process of pooling and exchanging such resources. We show how diversity of resources engaged in scientific collaboration is related to the structure of collaboration networks. We demonstrate that scholars within their personal networks simultaneously (1) diversify resources in colla…
Networks from archives
Multilevel network data facilitate statistical inference for curved ERGMs with geometrically weighted terms
Measuring segregation in social networks
Coordination in Dynamic Social Networks Under Heterogeneity
People often make choices or form opinions depending on the social relations they have, but they also choose their relations depending on their preferred behavior and their opinions. Most of the existing models of coevolution of networks and individual behavior assume that actors are homogeneous. In this article, we relax this assumption in a context in which actors try to coordinate their behavior with their partners. We investigate with a game-…
Coordination in Dynamic Social Networks Under Heterogeneity
People often make choices or form opinions depending on the social relations they have, but they also choose their relations depending on their preferred behavior and their opinions. Most of the existing models of coevolution of networks and individual behavior assume that actors are homogeneous. In this article, we relax this assumption in a context in which actors try to coordinate their behavior with their partners. We investigate with a game-…
The Measurement Properties of Aggregated Relational Data and NSUM-Estimated Network Size
Aggregated relational data (ARD), derived from questions of the form “How many people do you know who [belong to subpopulation X]?” are widely used to estimate the size and composition of social networks, often adopting the network scale-up method (NSUM). However, their measurement properties are insufficiently studied. The authors address this gap by assessing (1) the test-retest reliability of a large set of ARD questions and NSUM-estimated net…
Impact of survey design on estimation of exponential-family random graph models from egocentrically-sampled data
Networks from archives
Coordination in Dynamic Social Networks Under Heterogeneity
People often make choices or form opinions depending on the social relations they have, but they also choose their relations depending on their preferred behavior and their opinions. Most of the existing models of coevolution of networks and individual behavior assume that actors are homogeneous. In this article, we relax this assumption in a context in which actors try to coordinate their behavior with their partners. We investigate with a game-…
Measuring segregation in social networks
Multilevel network data facilitate statistical inference for curved ERGMs with geometrically weighted terms
Reaching for Unique Resources
On some fundamental level, we can think of scholars as actors possessing, or controlling, various types of resources. Collaboration in science is understood here as a process of pooling and exchanging such resources. We show how diversity of resources engaged in scientific collaboration is related to the structure of collaboration networks. We demonstrate that scholars within their personal networks simultaneously (1) diversify resources in colla…
Networks from archives
The Digital Black Atlantic
This timely collection of essays about the relationship between digital humanities and Black Atlantic studies offers critical insights into race, migration, media, and scholarly knowledge production. It spans the African diasporaâ s rangeâ from Africa to North America, Europe, and the Caribbeanâ while its essayists span academic fieldsâ from history and literary studies to musicology, game studies, and library and information studies
Impact of survey design on estimation of exponential-family random graph models from egocentrically-sampled data
Automated Name Selection for the Network Scale-up Method
To estimate the distribution of the number of acquaintances of the members of a society, the network scale-up method asks survey respondents about the number of people they know with features for which national statistics are available. While many features have been used for this purpose, first names have been suggested to produce particularly low levels of transmission error and recall bias. For this method to be precise, a set of names needs to…
Unveiling the Critical Nexus of Data Preprocessing and Transparent Documentation for Result Quality and Reproducibility in Digital History
This study underscores the importance of adequate data preprocessing, transparency, and documentation in digital history research, showcasing how these often overlooked practices impact research quality and reproducibility. We present a topic modelling case study involving over 160,000 records of official correspondence of the Atlantic Portuguese Empire from 1640 to 1822 to illustrate how these practices, associated with standardised formats and …
The Measurement Properties of Aggregated Relational Data and NSUM-Estimated Network Size
Aggregated relational data (ARD), derived from questions of the form “How many people do you know who [belong to subpopulation X]?” are widely used to estimate the size and composition of social networks, often adopting the network scale-up method (NSUM). However, their measurement properties are insufficiently studied. The authors address this gap by assessing (1) the test-retest reliability of a large set of ARD questions and NSUM-estimated net…
From hidden populations to social structure
Computer Science (8 works) · Complex Network Analysis Techniques (5 works) · Artificial Intelligence (4 works) · Mathematics (4 works) · Geography (3 works) · Social media (3 works) · Social network (sociolinguistics (3 works) · Sociology (3 works) · Statistics (3 works) · Computational and Text Analysis Methods (2 works)