Tanzhe Tang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Tanzhe Tang has a total of 3 co-authors. Here are the top co-authors by number of shared publications:
- Caspar G. Chorus
Department of Engineering Systems and Services, Delft University of Technology, Delft, The Netherlands
3 shared publications - Amineh Ghorbani
Delft University of Technology
2 shared publications - Flaminio Squazzoni
University of Milan
1 shared publication
Latest Publications
- Open Access
- 15 December 2021
- Published by Springer Nature in Quality & Quantity
- Vol. 56 (5) , 3587-3619
Together alone: a group-based polarization measurement
The growing polarization of our societies and economies has been extensively studied in various disciplines and is subject to public controversy. Yet, measuring polarization is hampered by the discrepancy between how polarization is conceptualized and measured. For instance, the notion of group, especially groups that are identified based on similarities between individuals, is key to conceptualizing polarization but is usually neglected when measuring polarization. To address the issue, this paper presents a new polarization measurement based on a grouping method called “Equal Size Binary Grouping” (ESBG) for both uni- and multi-dimensional discrete data, which satisfies a range of desired properties. Inspired by techniques of clustering, ESBG divides the population into two groups of equal sizes based on similarities between individuals, while overcoming certain theoretical and practical problems afflicting other grouping methods, such as discontinuity and contradiction of reasoning. Our new polarization measurement and the grouping method are illustrated by applying them to a two-dimensional synthetic data set. By means of a so-called “squeezing-and-moving” framework, we show that our measurement is closely related to bipolarization and could help stimulate further empirical research.
- 15 December 2021
- Published by Springer Nature in Quality & Quantity
- Vol. 56 (5) , 3587-3619
Open AccessTogether alone: a group-based polarization measurement
The growing polarization of our societies and economies has been extensively studied in various disciplines and is subject to public controversy. Yet, measuring polarization is hampered by the discrepancy between how polarization is conceptualized and measured. For instance, the notion of group, especially groups that are identified based on similarities between individuals, is key to conceptualizing polarization but is usually neglected when measuring polarization. To address the issue, this paper presents a new polarization measurement based on a grouping method called “Equal Size Binary Grouping” (ESBG) for both uni- and multi-dimensional discrete data, which satisfies a range of desired properties. Inspired by techniques of clustering, ESBG divides the population into two groups of equal sizes based on similarities between individuals, while overcoming certain theoretical and practical problems afflicting other grouping methods, such as discontinuity and contradiction of reasoning. Our new polarization measurement and the grouping method are illustrated by applying them to a two-dimensional synthetic data set. By means of a so-called “squeezing-and-moving” framework, we show that our measurement is closely related to bipolarization and could help stimulate further empirical research.
- Open Access
- 17 August 2021
- Published by Taylor & Francis in The Journal of Mathematical Sociology
- Vol. 46 (4) , 315-341
Hiding opinions by minimizing disclosed information: an obfuscation-based opinion dynamics model
In the field of opinion dynamics, the hiding of opinions is routinely modeled as staying silent. However, staying silent is not always feasible. In situations where opinions are indirectly expressed by one’s observable actions, people may however try to hide their opinions via a more complex and intelligent strategy called obfuscation, which minimizes the information disclosed to others. This study proposes a formal opinion dynamics model to study the hitherto unexplored effect of obfuscation on public opinion formation based on the recently developed Action-Opinion Inference Model. For illustration purposes, we use our model to simulate two cases with different levels of complexity, highlighting that the effect of obfuscation largely depends on the subtle relations between actions and opinions.
- 17 August 2021
- Published by Taylor & Francis in The Journal of Mathematical Sociology
- Vol. 46 (4) , 315-341
Open AccessHiding opinions by minimizing disclosed information: an obfuscation-based opinion dynamics model
In the field of opinion dynamics, the hiding of opinions is routinely modeled as staying silent. However, staying silent is not always feasible. In situations where opinions are indirectly expressed by one’s observable actions, people may however try to hide their opinions via a more complex and intelligent strategy called obfuscation, which minimizes the information disclosed to others. This study proposes a formal opinion dynamics model to study the hitherto unexplored effect of obfuscation on public opinion formation based on the recently developed Action-Opinion Inference Model. For illustration purposes, we use our model to simulate two cases with different levels of complexity, highlighting that the effect of obfuscation largely depends on the subtle relations between actions and opinions.
- Open Access
- 1 January 2019
- Published by Journal of Artificial Societies and Social Simulation in Journal of Artificial Societies and Social Simulation
- Vol. 22 (3)
Learning Opinions by Observing Actions: Simulation of Opinion Dynamics Using an Action-Opinion Inference Model
- 1 January 2019
- Published by Journal of Artificial Societies and Social Simulation in Journal of Artificial Societies and Social Simulation
- Vol. 22 (3)
Open AccessLearning Opinions by Observing Actions: Simulation of Opinion Dynamics Using an Action-Opinion Inference Model