Marijn ten Thij
Marijn ten Thij
Assistant Professor
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Cited by
Cited by
Social media insights into US mental health during the COVID-19 pandemic: Longitudinal analysis of Twitter data
D Valdez, M Ten Thij, K Bathina, LA Rutter, J Bollen
Journal of medical Internet research 22 (12), e21418, 2020
Individuals with depression express more distorted thinking on social media
KC Bathina, M Ten Thij, L Lorenzo-Luaces, LA Rutter, J Bollen
Nature human behaviour 5 (4), 458-466, 2021
Circadian Patterns in Twitter
M ten Thij, S Bhulai, P Kampstra
DATA ANALYTICS 2014, The Third International Conference on Data Analytics†…, 2014
Modelling of trends in twitter using retweet graph dynamics
M ten Thij, T Ouboter, D Worm, N Litvak, H van den Berg, S Bhulai
International Workshop on Algorithms and Models for the Web-Graph, 132-147, 2014
Historical language records reveal a surge of cognitive distortions in recent decades
J Bollen, M Ten Thij, F Breithaupt, ATJ Barron, LA Rutter, ...
Proceedings of the National Academy of Sciences 118 (30), e2102061118, 2021
Modeling page-view dynamics on Wikipedia
M ten Thij, Y Volkovich, D Laniado, A Kaltenbrunner
arXiv e-prints, arXiv: 1212.5943, 2012
Declining well-being during the COVID-19 pandemic reveals US social inequities
KC Bathina, M Ten Thij, D Valdez, LA Rutter, J Bollen
PloS one 16 (7), e0254114, 2021
Depression alters the circadian pattern of online activity
M Ten Thij, K Bathina, LA Rutter, L Lorenzo-Luaces, IA van de Leemput, ...
Scientific reports 10 (1), 1-10, 2020
Modelling trend progression through an extension of the polya urn process
M Thij, S Bhulai
International Conference and School on Network Science, 57-67, 2016
Twitter analytics for the horticulture industry
M ten Thij, S Bhulai, W van den Berg, H Zwinkels
DATA ANALYTICS 2016, 87, 2016
Modelling trends in social media-Application and analysis using random graphs
M ten Thij
University of Twente, 2013
Collective attention patterns under controlled conditions
M Ten Thij, A Kaltenbrunner, D Laniado, Y Volkovich
Online Social Networks and Media 13, 100047, 2019
Assessing rigid modes of thinking in self-declared abortion ideology: natural language processing insights from an online pilot qualitative study on abortion attitudes
D Valdez, KN Jozkowski, K Haus, M Ten Thij, BL Crawford, ...
Pilot and Feasibility Studies 8 (1), 1-14, 2022
Quantifying societal emotional resilience to natural disasters from geo-located social media content
K Bathina, M Ten Thij, J Bollen
PLoS one 17 (6), e0269315, 2022
Quantifying changes in societal optimism from online sentiment
C Isch, M Ten Thij, PM Todd, J Bollen
Behavior research methods, 1-9, 2022
Reply to Schmidt et al.: A robust surge of cognitive distortions in historical language
J Bollen, M Ten Thij, F Breithaupt, ATJ Barron, LA Rutter, ...
Proceedings of the National Academy of Sciences 118 (45), e2115842118, 2021
Temporal measures of societal optimism reveal inversion of sentiment toward the near and distant future
C Isch, M ten Thij, PM Todd, J Bollen
PsyArXiv, 2021
Social Data Analysis: Dynamics of real-time data
MC ten Thij
Mining Long-term Topics from a Real-time Feed
M ten Thij
Sixth International Conference on Data Analytics, 1--5, 2017
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