Haiko Lietz
Biographic Data
| ID | 4394107 |
|---|---|
| NAME | Haiko Lietz |
| GIVEN NAMES | Haiko |
| FAMILY NAME | Lietz |
| SIGNATURE | LIETZ H |
| AFFILIATIONS | GESIS - Leibniz Institute for the Social Sciences |
| ORCID | 0000-0002-8408-1607 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 178 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Individual and gender inequality in computer science
Inequality prevails in science. Individual inequality means that most perish quickly and only a few are successful, and gender inequality implies that there are differences in achievements for women and men. Using large-scale bibliographic data and following a computational approach, we study the evolution of individual and gender inequality for cohorts from 1970 to 2000 in the whole field of computer science as it grows and becomes a team-based …
Group Formation in Science between Homogenization and Differentiation
We assess the empirical development of scientific homogenization and differentiation processes in terms of group development comparing U.S. and German sociology from 2004 to 2019. We introduce hierarchical multi-layered Bayesian stochastic block models to the issue of scientific group development. Based on publication data from Scopus, we analyze group formation simultaneously as collaboration networks, reference networks, and topical networks. E…
Drawing impossible boundaries
“Big” digital behavioral data increasingly allows large-scale and high-resolution analyses of the behavior and performance of persons or aggregated identities in whole fields. Often the desired system of study is only a subset of a larger database. The task of drawing a field boundary is complicated because socio-cultural systems are highly overlapping. Here, I propose a sociologically enhanced information retrieval method to delineate fields tha…
Election Campaigning on Social Media
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When Politicians Talk
Assessing political conversations in social media requires a deeper understanding of the underlying practices and styles that drive these conversations. In this paper, we present a computational approach for assessing online conversational practices of political parties. Following a deductive approach, we devise a number of quantitative measures from a discussion of theoretical constructs in sociological theory. The resulting measures make differ…
Election Campaigning on Social Media
Formulae display:?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom
Group Formation in Science between Homogenization and Differentiation
We assess the empirical development of scientific homogenization and differentiation processes in terms of group development comparing U.S. and German sociology from 2004 to 2019. We introduce hierarchical multi-layered Bayesian stochastic block models to the issue of scientific group development. Based on publication data from Scopus, we analyze group formation simultaneously as collaboration networks, reference networks, and topical networks. E…
When Politicians Talk
Assessing political conversations in social media requires a deeper understanding of the underlying practices and styles that drive these conversations. In this paper, we present a computational approach for assessing online conversational practices of political parties. Following a deductive approach, we devise a number of quantitative measures from a discussion of theoretical constructs in sociological theory. The resulting measures make differ…
Election Campaigning on Social Media
Formulae display:?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom
Drawing impossible boundaries
“Big” digital behavioral data increasingly allows large-scale and high-resolution analyses of the behavior and performance of persons or aggregated identities in whole fields. Often the desired system of study is only a subset of a larger database. The task of drawing a field boundary is complicated because socio-cultural systems are highly overlapping. Here, I propose a sociologically enhanced information retrieval method to delineate fields tha…
Individual and gender inequality in computer science
Inequality prevails in science. Individual inequality means that most perish quickly and only a few are successful, and gender inequality implies that there are differences in achievements for women and men. Using large-scale bibliographic data and following a computational approach, we study the evolution of individual and gender inequality for cohorts from 1970 to 2000 in the whole field of computer science as it grows and becomes a team-based …
Group Formation in Science between Homogenization and Differentiation
We assess the empirical development of scientific homogenization and differentiation processes in terms of group development comparing U.S. and German sociology from 2004 to 2019. We introduce hierarchical multi-layered Bayesian stochastic block models to the issue of scientific group development. Based on publication data from Scopus, we analyze group formation simultaneously as collaboration networks, reference networks, and topical networks. E…
Sociology (5 works) · German (3 works) · Law (3 works) · Opinion Dynamics and Social Influence (3 works) · Political science (3 works) · Complex Network Analysis Techniques (2 works) · Computer Science (2 works) · Federal election (2 works) · Linguistics (2 works) · Mathematics (2 works)