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 |
|---|---|
| 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. |
| Year | Talk title | Location |
|---|---|---|
| 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 | 3 |
| 2016 | Modelling trends from a network perspective | MACSI, Limerick, Ireland |
| Year | Conference | Location |
|---|---|---|
| 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 |
| Year | Reference |
|---|---|
| 2022 | 1Limburg. September 14, 2022. Onderzoek: relatie tussen Twitter-woordgebruik en depressie. |
| 2022 | BNR Wetenschap vandaag. September 1, 2022. Datawetenschappers voorspellen of jij lekker in je vel zit. |
| 2022 | UM. August 23, 2022. Show me your Twitter feed and I'll tell you what your problem is. |
| 2018 | Groenten Fruit Huis. June 14, 2018. GroentenFruit Huis verzorgt workshops ‘Ga voor Kleur’ en ‘Social Media’ tijdens VEG. |
| 2014 | UT. September 3, 2014. Marijn ten Thij van Universiteit Twente geselecteerd voor de Nationale Denktank 2014. |
| 2013 | Kurzweil AI. October 8, 2013. Minority Report-style pre-crime prediction using Twitter data: possible?. |
| 2013 | Phys.org. September 24, 2013. Mathematics student develops model that can predict trends via Twitter. |
| GitHub | Description |
|---|---|
| Hortiradar | Realtime data gathering from Twitter for the horti-culture industry. |
| 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 |
| Year | Award | Amount |
|---|---|---|
| 2014 | Best Paper Award at IARIA DATA ANALYTICS | - |