Marijn ten Thij     Ph.D.

Research Fellow at Consortium for Social and Biomedical Complexity, Indiana University.
Assistant Professor in Data Fusion at Department of Advanced Computing Sciences, Maastricht University.




Marijn ten Thij

Research Fellow at – Consortium for Social and Biomedical Complexity – at Indiana University Bloomington (USA) and Assistant Professor at – Department of Advanced Computing Sciences – at Maastricht University (NL). Previously worked as a postdoc at DIAM (Delft University of Technology), working with Prof. Roy Lindelauf (NLDA), Prof. Robbert Fokkink (TUD) and Prof. Arnout van de Rijt (EUI), and CSBC (Indiana University Bloomington, USA), working with Prof. Johan L. Bollen. Obtained a PhD in Applied Mathematics at the Vrije Universiteit Amsterdam under supervision of Prof. Sandjai Bhulai, a Master in Applied Mathematics (Chair: Stochastic Operations Research) at the University of Twente and a Bachelor in Applied Mathematics at the University of Twente.

mtenthij(at)indiana(dot)edu   mctenthij(at)gmail(dot)com
Google Scholar   ORCID   github.com/mctenthij


My main interests involve the usage of Mathematical Modelling to study and mimic Human Behavior through data obtained from social media.

keywords: #ComplexSystems, #ComplexNetworks, #ComputationSocialScience, #DataScience, #MathematicalModeling, #SocialMediaAnalytics.


Year Reference
2024

L.A. Rutter, M. ten Thij, L. Lorenzo-Luaces, D. Valdez, J. Bollen [2024]. Negative affect variability differs between anxiety and depression on social media. PLoS ONE 19(2): e0272107

2024

J.C. Santos Okholm, A. Ebrahimi Fard, M. ten Thij [2024]. Debunking and exposing misinformation among fringe communities: Testing source exposure and debunking anti-Ukrainian misinformation among German fringe communities. Harvard Kennedy School (HKS) Misinformation Review

2023

Alexander T J Barron, Marijn ten Thij and Johan Bollen [2023]. Online identity as a collective labeling process. Journal of Physics: Complexity, 4(2):025003

2022

L. Santing, R.J. Sijstermans, G. Anerdi, P. Jeuris, M. ten Thij and R. Batista-Navarro [2022]. Food for Thought: How can we exploit contextual embeddings in the translation of idiomatic expressions?. In Proceedings of the 3rd Workshop on Figurative Language Processing (FLP), pages 100-110, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.

2022

J. Bollen, M. ten Thij, L. Lorenzo-Luaces, L.A. Rutter [2022]. Beyond Risk: Individual Mental Health Trajectories from Large-Scale Social Media Data. Studies in Computational Intelligence 1018 (12)

2022

A. Khan, M. ten Thij, A. Wilbik [2022]. Communication-Efficient Vertical Federated Learning. MDPI Algorithms 15 (8), 273

2022

K. C. Bathina, M. ten Thij, J. Bollen [2022]. Quantifying societal emotional resilience to natural disasters from geo-located social media content. PLOS ONE 17 (6): e0269315

2022

D. Valdez, K.N. Jozkowski, K. Haus, M. ten Thij, B.L. Crawford, M.S. Montenegro, W. Lo, R.C. Turner, J. Bollen [2022]. Assessing rigid modes of thinking in self-declared abortion ideology: natural language processing insights from an online pilot qualitative study on abortion attitudes. Pilot and Feasibility Studies 8 (127)

2022

C. Isch, M. ten Thij, P.M. Todd, J. Bollen [2022]. Quantifying changes in societal optimism from online sentiment. Behavior Research Methods

2021

J. Bollen, M. ten Thij, F. Breithaupt, A.T.J. Barron, L.A. Rutter, L. Lorenzo-Luaces, M. Scheffer [2021]. Reply to Schmidt et al.: A robust surge of cognitive distortions in historical language. PNAS 118 (45), e2115842118

2021

M. ten Thij, D. Valdez, L.A. Rutter, K.C. Bathina, J. Bollen [2021]. Topic sentiment versus user sentiment: Social media mining strategies for accurate insights into mood and subjective wellbeing. APHA 2021 Meeting and Expo

2021

D. Valdez, M. ten Thij, L.A. Rutter, K.C. Bathina, J. Bollen [2021]. Social media and COVID-19 infection data suggests disproportionate mental and physical harm in communities of color across 20 metropolitan areas. APHA 2021 Meeting and Expo

2021

J. Bollen, M. ten Thij, F. Breithaupt, A.T.J. Barron, L.A. Rutter, L. Lorenzo-Luaces, M. Scheffer [2021]. Historical language records reveal a surge in cognitive distortions in recent decades. PNAS 118 (30), e2102061118

2021

K. C. Bathina, M. ten Thij, D. Valdez, L.A. Rutter, J. Bollen [2021]. Declining Well-Being During the COVID-19 Pandemic Reveals U.S. Social Inequities. PLoS One 16 (7), e0254114

2021

K. C. Bathina, M. ten Thij, L. Lorenzo-Luaces, L.A. Rutter, J. Bollen [2021]. Individuals with depression express more distorted thinking on social media Nature Human Behavior

2020

D. Valdez, M. ten Thij, K. Bathina, L.A. Rutter, J. Bollen [2020]. Social-media insights into US mental health amid the COVID-19 global pandemic: a Longitudinal analysis of publicly available Twitter data, Journal of Medical Internet Research, 22(12):e21418

2020

M. ten Thij, K. Bathina, L.A. Rutter, L. Lorenzo-Luaces, I.A. van de Leemput, M. Scheffer, J. Bollen [2020]. Depression alters the circadian pattern of online activity, Scientific Reports 10, 17272

2019

M. ten Thij, A. Kaltenbrunner, D. Laniado, Y. Volkovich [2019]. Collective attention patterns under controlled conditions, Online Social Networks and Media, 13, 100047

2017

M. ten Thij [2017]. Mining Long-term Topics from a Real-time Feed, Proceedings of the IARIA DATA ANALYTICS conference 2017, Barcelona, Spain, November 12-16, 2017, pp. 1-5.

2016

M. ten Thij, S. Bhulai, W. van den Berg, H. Zwinkels [2016]. Twitter Analytics for the Horticulture industry, Proceedings of the IARIA DATA ANALYTICS conference 2016, Venice, Italy, October 9-13, 2016, pp. 75-79.

2016

M. ten Thij, S. Bhulai [2016]. Modelling trend progression through an extension of the Pólya Urn Process, Proceedings of the International Conference on Network Science 2016 (NetSci-X), Wroclaw, Poland, January 11-13, 2016, pp 57-67.

2014

M. ten Thij, T. Ouboter, D. Worm, N. Litvak, J.L. van den Berg, S. Bhulai [2014]. Modelling of trends in Twitter using retweet graph dynamics, Proceedings of the 11th Workshop on Algorithms and Models for the Web Graph (WAW2014), Beijing, China, December 17-18, 2014, pp 132-147.

2014

M. ten Thij, S. Bhulai, P. Kampstra [2014]. Circadian patterns in Twitter, Proceedings of the IARIA DATA ANALYTICS conference 2014, Rome, Italy, August 24-28, 2014, pp 12-17.

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Year Talk title Location
2023 Computational psychology: digital mental health KE @fter work, Maastricht, The Netherlands
2022 Target Discovery and Prioritization: an algorithmic approach Defensie Masterclass Data Science and Cyber, Delft, The Netherlands
2022 Measuring distored thinking in written text UM Data Science Research Seminar, Maastricht, The Netherlands
2021 Computational Psychology: Depression alters the circadian pattern of online activity TUD Seminar series on Applied Probability and Statistics, Delft, The Netherlands
2018 Hortiradar: leveraging Social Media for the Horticulture industry VEG., Rotterdam, The Netherlands
2017 Beyond tracking: modelling human behavior through social media. AI Seminar, USC Information Sciences Institute, Los Angeles, USA
2016 Data driven innovation: Facts from the Social Web 3rd EU Fresh Info Forum, Rotterdam, The Netherlands
2016 Modelling trends from a network perspective MACSI, Limerick, Ireland

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Year Conference Location
2023 5th Multidisciplinary International Symposium on Disinformation in Open Online Media (MISDOOM) 2023 Amsterdam, the Netherlands
2023 ODISSEI Conference for Social Science in the Netherlands 2023 Utrecht, the Netherlands
2023 International Conference on Computational Social Science (IC2S2) Copenhagen, Denmark
2023 19th International Conference on Scientometrics & Infometrics 2023 Bloomington, IN, USA
2021 Supporting Health by Technology 2021 On-line
2020 COMPLEX NETWORKS Conference 2020 On-line
2019 COMPLEX NETWORKS Conference 2019 Lisbon, Portugal
2019 International Conference on Computational Social Science (IC2S2) Amsterdam, Netherlands
2019 Workshop on Complex Networks: From socio-economic systems to biology and brain Lipari, Italy
2017 IARIA DATA ANALYTICS Barcelona, Spain
2017 International Conference on Computational Social Science (IC2S2) Cologne, Germany
2017 Benelearn Conference 2017 Eindhoven, The Netherlands
2016 IARIA DATA ANALYTICS Venice, Italy
2016 Conference on Complex Systems (CCS) Amsterdam, The Netherlands
2016 StochMod conference Louvain-la-Neuve, Belgium
2016 International Winter Conference on Network Science (NetSci-X) Wroclaw, Poland
2015 International Workshop on Algorithms and Models for the Web-Graph (WAW) Eindhoven, the Netherlands
2014 International Workshop on Algorithms and Models for the Web-Graph (WAW) Beijing, China

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GitHub Description
Hortiradar Realtime data gathering from Twitter for the horti-culture industry.

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Year Journal Role
2022 PeerJ Computer Science Reviewer
2022 ACM Transaction on the Web Reviewer
2022 Journal on Information Science Reviewer
2021 Scientific Reports Reviewer
2020-Now International Conference on Computational Social Science (IC2S2) Reviewer
2019-Now PLOS ONE Reviewer
2017-2019 IARIA DATA ANALYTICS TPC Member
2018 International Conference on Intelligent Information Technologies 2018 TPC Member
2018 IEEE Transactions on Information Forensics & Security Reviewer

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Year Award Amount
2014 Best Paper Award at IARIA DATA ANALYTICS

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