activity
20202024
most citedSeparating Polarization from Noise: Comparison and Normalization of Structural Polarization Measures

21 citations · 53 across the 11 of their papers we have counts for

collaborators

11 papers

cs.SI2024

My Views Do Not Reflect Those of My Employer: Differences in Behavior of Organizations' Official and Personal Social Media Accounts

Esa Palosaari, Ted Hsuan Yun Chen, Arttu Malkamäki +1

On social media, the boundaries between people's private and public lives often blur. The need to navigate both roles, which are governed by distinct norms, impacts how individuals…

cs.SI2024★ 1 cited

Multiway Alignment of Political Attitudes

Letizia Iannucci, Ali Faqeeh, Ali Salloum +2

The related concepts of partisan belief systems, issue alignment, and partisan sorting are central to our understanding of politics. These phenomena have been studied using measure…

cs.SI2024★ 1 cited

Anatomy of Elite and Mass Polarization in Social Networks

Ali Salloum, Ted Hsuan Yun Chen, Mikko Kivelä

In the political arena of social platforms, opposing factions of varying sizes show asymmetrical patterns, and elites and masses within these groups have divergent motivations and…

cs.SI2023

Complex coalitions: political alliances across relational contexts

Arttu Malkamäki, Ted Hsuan Yun Chen, Antti Gronow +3

Coalitions are central to politics, including government formation, international relations, and public policy. Coalitions emerge when actors engage one another across multiple rel…

cs.HC2023★ 19 cited

Crowdsourcing subjective annotations using pairwise comparisons reduces bias and error compared to the majority-vote method

Hasti Narimanzadeh, Arash Badie-Modiri, Iuliia Smirnova +1

How to better reduce measurement variability and bias introduced by subjectivity in crowdsourced labelling remains an open question. We introduce a theoretical framework for unders…

cs.SI2023

OVNS: Opportunistic Variable Neighborhood Search for Heaviest Subgraph Problem in Social Networks

Ville P. Saarinen, Ted Hsuan Yun Chen, Mikko Kivelä

We propose a hybrid heuristic algorithm for solving the Heaviest k-Subgraph Problem in online social networks -- a combinatorial graph optimization problem central to many importan…

cs.SI2021★ 2 cited

Limits of Multilayer Diffusion Network Inference in Social Media Research

Yan Xia, Ted Hsuan Yun Chen, Mikko Kivelä

Information on social media spreads through an underlying diffusion network that connects people of common interests and opinions. This diffusion network often comprises multiple l…

stat.AP2021

Generative Dynamics of Supreme Court Citations: Analysis with a New Statistical Network Model

Christian S. Schmid, Ted Hsuan Yun Chen, Bruce A. Desmarais

The significance and influence of US Supreme Court majority opinions derive in large part from opinions' roles as precedents for future opinions. A growing body of literature seeks…

cs.SI2021★ 21 cited

Separating Polarization from Noise: Comparison and Normalization of Structural Polarization Measures

Ali Salloum, Ted Hsuan Yun Chen, Mikko Kivelä

Quantifying the amount of polarization is crucial for understanding and studying political polarization in political and social systems. Several methods are used commonly to measur…

cs.SI2020★ 9 cited

Spread of Tweets in Climate Discussions

Yan Xia, Ted Hsuan Yun Chen, Mikko Kivelä

Characterising the spreading of ideas within echo chambers is essential for understanding polarisation. In this paper, we explore the characteristics of popular and viral content i…

physics.soc-ph2020

Polarization of Climate Politics Results from Partisan Sorting: Evidence from Finnish Twittersphere

Ted Hsuan Yun Chen, Ali Salloum, Antti Gronow +2

Prior research shows that public opinion on climate politics sorts along partisan lines. However, they leave open the question of whether climate politics and other politically sal…