Publications

JOURNAL PAPERS

  1. M. Karsai, R. Juhász, F. Iglói, Non-equilibrium phase transition and finite size scaling in weighted scale-free networks. Phys.Rev.E 73, 036116 (2006)

  2. M. Karsai, J-Ch. Anglès d’Auriac and F. Iglói, Rounding of first-order phase transitions and optimal cooperation in scale-free networks. Phys.Rev.E 76, 041107 (2007)

  3. M. Karsai, I. A. Kovács, J-Ch. Anglès d’Auriac and F. Iglói, Density of critical clusters in strips of strongly disordered systems. Phys.Rev.E 78, 061109 (2008)

  4. M. Karsai, J-Ch. Anglès d’Auriac and F. Iglói, Non-equilibrium dynamics of the triangular antiferromagnetic Ising model at zero temperature. J. Stat. Mech. P07044 (2009)

  5. M. Karsai, J-Ch. Anglès d’Auriac and F. Iglói, Interface mapping in two-dimensional random lattice models. J. Stat. Mech. P08027 (2010)

  6. M. Karsai, M. Kivelä, R. K. Pan, K. Kaski, J. Kertész, A.-L. Barabási and J. Saramäki, Small But Slow World: How Network Topology and Burstiness Slow Down Spreading. Phys. Rev. E 83, 025102(R) (2011)

  7. G. Tibely, L. Kovanen, M. Karsai, K. Kaski, J. Kertész and J. Saramäki, Communities and beyond: mesoscopic analysis of a large social network with complementary methods. Phys. Rev. E 83, 056125 (2011)

  8. K. Zhao, M. Karsai and G. Bianconi, Entropy of dynamical social networks. PLoS ONE 6(12), e28116 (2011)

  9. L. Kovanen, M. Karsai, K. Kaski, J. Kertész and J. Saramäki, Temporal motifs in time-dependent networks. J. Stat. Mech. P11005 (2011)

  10. H.-H. Jo, M. Karsai, J. Kertész and K. Kaski, Circadian pattern and burstiness in human communication activity. New. J. Phys. 14 013055 (2012), Nature (highlight) 482 7384 (2012)

  11. M. Karsai, K. Kaski, A.-L. Barabási and J. Kertész, Universal features of correlated bursty behaviour. Scientific Reports (Nature) 2, 397 (2012)

  12. M. Kivelä, R. K. Pan, K. Kaski, J. Kertész, J. Saramäki and M. Karsai, Multiscale Analysis of Spreading in a Large Communication Network. J. Stat. Mech. P03005 (2012)

  13. G. Krings, M. Karsai, S. Bernhardsson, V. Blondel and J. Saramäki, Effects of time window size and placement on the structure of aggregated networks. EPJ Data Science 1, 4 (2012)

  14. M. Karsai, K. Kaski and J. Kertész, Correlated dynamics in egocentric networks. PLoS ONE 7(7), e40612 (2012)

  15. H.-H. Jo, M. Karsai, J. Karikoski and K. Kaski, Spatiotemporal correlations of handset-based service usages. EPJ Data Science, 1,10 (2012)

  16. R. Kikas, M. Dumas and M. Karsai, Bursty egocentric network evolution in Skype. Soc, Netw. Anal. Min., 3, 1393 (2013)

  17. M. Karsai, N. Perra and A. Vespignani, Time varying networks and the weakness of strong ties. Scientific Reports (Nature) 4, 4001 (2014)

  18. S. Liu, N. Perra, M. Karsai and A. Vespignani, Controlling Contagion Processes in Time-Varying Networks. Phys. Rev. Lett. 112, 118702 (2014)

  19. M. V. Tomasello, N. Perra, C. J. Tessone, M. Karsai, F. Schweitzer, The role of endogenous and exogenous mechanisms in the formation of R&D networks. Scientific Reports (Nature) 4, 5679 (2014)

  20. M. Karsai, G. Iniguez, K. Kaski, J. Kertész, Complex contagion process in spreading of online innovation. J. R. Soc. Interface 11, 101 (2014)

  21. D. Mocanu, L. Rossi, Q. Zhang, M. Karsai, W. Quattrociocchi, Collective attention in the age of (mis)information. Computers in Human Behavior 51, 1198–1204 (2015)

  22. M. Tizzoni, K. Sun, D. Benusiglio, M. Karsai, N. Perra, The Scaling of Human Contacts in Reaction-Diffusion Processes on Heterogeneous Metapopulation Networks. Scientific Reports (Nature) 5, 15111 (2015)

  23. G. Laurent, J. Saramäki, M. Karsai, From calls to communities: a model for time varying social networks. Eur. Phys. J. B 88, 301 (2015)

  24. P. Jensen, M. Morini, M. Karsai, T. Venturini, A. Vespignani, M. Jacomy, J-P. Cointet, P. Mercklé, E. Fleury, Detecting global bridges in networks. Journal of Complex Networks 3, 4 (2015)

  25. Z. Ruan, G. Iniguez, M. Karsai, J. Kertész, Kinetics of Social Contagion. Phys. Rev. Lett. 115, 218702 (2015)

  26. L. Alessandretti, M. Karsai, L. Gauvin, User-based representation of time-resolved multimodal public transportation networks. R. Soc. Open Sci. 3, 160156 (2016)

  27. M. Karsai, G. Iniguez, R. Kikas, K. Kaski, J. Kertész, Local cascades induced global contagion: How heterogeneous thresholds, exogenous effects, and unconcerned behaviour govern online adoption spreading. Scientific Reports (Nature) 6, 27178 (2016)

  28. E. Ubaldi, N. Perra, M. Karsai, A. Vezzani, R. Burioni, A. Vespignani, Asymptotic theory for the dynamic of networks with heterogenous social capital allocation. Scientific Reports (Nature) 6, 35724 (2016)

  29. Y. Leo, E. Fleury, J. I. Alvarez-Hamelin, C. Sarraute, M. Karsai, Socioeconomic correlations and stratification in social-communication networks. J. R. Soc. Interface 13 125 (2016)

  30. E. Ubaldi, A. Vezzani, M. Karsai, N. Perra, R. Burioni, Burstiness and tie reinforcement in time varying social networks. Scientific Reports (Nature) 7, 46225 (2017)

  31. Y. Leo, M. Karsai, C. Sarraute, E. Fleury, Correlations and dynamics of consumption patterns in social-economic networks. Soc. Netw. Analys. Min. 8, 9 (2018)

  32. S. Unicomb, G. Iñiguez, M. Karsai, Threshold driven contagion on weighted networks. Scientific Reports (Nature) 8, 3094 (2018)

  33. M. Kivelä, J. Cambe, J. Saramäki, M. Karsai, Mapping temporal-network percolation to weighted, static event graphs. Scientific Reports (Nature) 8, 12357 (2018)

  34. Q. Zhang, M. Karsai, A. Vespignani, Link transmission centrality in large-scale social networks. EPJ Data Science 7, 33 (2018)

  35. J. Levy Abitbol, E. Fleury, M. Karsai, Optimal Proxy Selection for Socioeconomic Status Inference on Twitter. Complexity 2019, 6059673 (2019)

  36. A. Baltzer, M. Karsai, C. Roth, Interactional and informational attention on Twitter. Information 10(8), 250 (2019) - Cover page article

  37. S. Unicomb, G. Iñiguez, J. Kertész, M. Karsai, Reentrant phase transitions in threshold driven contagion on multiplex networks. Physical Review E, Rapid Comm. 100, 040301(R) (2019)

  38. S. Lerique, J. Levy Abitbol, M. Karsai, Joint embedding of structure and features via graph convolutional networks. Applied Network Science 5, 5 (2020)

  39. M. Torricelli, M. Karsai, L. Gauvin, weg2vec: Event embedding for temporal networks. Scientific Reports (Nature) 10, 7164 (2020).

  40. A. B. Modiri, M. Karsai, M. Kivelä, Efficient limited time reachability estimation in temporal networks. Physical Review E, 101, 052303 (2020)

  41. G. Iñiguez, F. Battiston, M. Karsai, Bridging the gap between graphs and networks. Communications Physics (Nature), 3, 88 (2020)

  42. S. Dai, H. Bouchet, A. Nardy , E. Fleury , J-P. Chevrot, M. Karsai, Temporal Social Network Reconstruction Using Wireless Proximity Sensors: Model Selection and Consequences. EPJ Data Science, 9, 19 (2020)

  43. M. Karsai, J. Koltai, O. Vásárhelyi, G. Röst, Hungary in masks/“MASZK” in Hungary. Corvinus Journal of Sociology and Social Policy 11, 2, 139-146 (2020)

  44. J. Levy Abitbol, M. Karsai, Interpretable socioeconomic status inference from aerial imagery through urban patterns. Nature Machine Intelligence, 2, 684–692 (2020)

  45. S. Unicomb, G. Iñiguez, J. P. Gleeson, M. Karsai, Dynamics of cascades on burstiness-controlled temporal networks. Nature Communications, 12, 133 (2021)

  46. M. Karsai, J. Koltai, O. Vásárhelyi, G. Röst
    Hungary in masks/“MASZK” in Hungary. Corvinus Journal of Sociology and Social Policy 11, 2, 139-146 (2020)

  47. G. Cencetti, F. Battiston, B. Lepri, M. Karsai, Temporal properties of higher-order interactions in social networks. Scientific Reports (Nature) 11, 1 (2021)

  48. E. Bokányi, S. Juhász, M. Karsai, B. Lengyel, Universal role of commuting in the reduction of social assortativity in cities. Scientific Reports (Nature) 11, 20829 (2021)

  49. G. Ódor, D. Czifra, J. Komjáthy, L. Lovász, M. Karsai, Switchover phenomenon induced by epidemic seeding on geometric networks. Proceedings of the National Academy of Sciences (PNAS) 118, 41 (2021)

  50. J. Faria de Oliveira, H. Torres Marques Neto, M. Karsai, Measuring the Effects of Repeated and Diversified Influence Mechanism for Information Adoption on Twitter. Social Network Analysis and Mining 12, 16 (2022)

  51. 49. J. Koltai, O. Vásárhelyi, G. Röst, M. Karsai

Reconstructing social mixing patterns via weighted contact matrices from online and representative surveys

Scientific Reports (Nature) 12, 4690 (2022)

  1. G. Ódor, D. Czifra, J. Komjáthy, L. Lovász, M. Karsai

Longer-term seeding effects on epidemic processes: a network approach. Scientia et Securitas, 2(4), 409-417 (2022)

  1. L. Cresswell, L. Espín-Noboa, M. SQ Murphy, S. Ramlawi, M. Walker, M. Karsai, D. J Corsi

The Volume and Tone of Twitter Posts About Cannabis Use During Pregnancy: A Scoping Review Protocol

JMIR Research Protocols 11(3), e34421 (2022)

  1. R. Hilman, G. Iñiguez, M. Karsai

Socioeconomic biases in urban mixing patterns of US metropolitan areas EPJ Data Science 11, 32 (2022)

  1. A. Badie-Modiri, A.K. Rizi, M. Karsai, M. Kivelä

Directed Percolation in Temporal Networks

Phys. Rev. Research 4, L022047 (2022)

  1. Badie-Modiri, A. K. Rizi, M. Karsai, M. Kivelä

Directed Percolation in Random Temporal Network Models with Heterogeneities Phys. Rev. E 105, 054313 (2022)

  1. K. Kutasi, J. Koltai, Á. Szabó-Morvai, G. Röst, M. Karsai, P. Bíró, B. Lengyel

Understanding hesitancy with revealed preferences across COVID-19 vaccine types Scientific Reports (Nature) 12, 13293 (2022)

CONFERENCE PROCEEDINGS

  1. Y. Leo, M. Karsai, C. Sarraute, E. Fleury, Correlations of consumption patterns in social-economic networks. IEEE/ACM ASONAM p. 500-507, San Francisco CA, August 18-21 (2016)

  2. H. Hours, E. Fleury, M. Karsai, Link prediction in the Twitter mention network: impacts of local structure and similarity of interest. 16th IEEE International Conference on Data Mining (ICDM) – DMHAA Workshop, Barcelona 12-15 December (2016)

  3. J. Levy Abitbol, M. Karsai, J-P. Magué, J-P. Chevrot, E. Fleury, Socioeconomic dependencies of linguistic patterns in Twitter: a multivariate analysis. WWW’18 – Proceedings of the 2018 World Wide Web Conference, pp. 1125–1134, International World Wide Web Conferences Steering Committee (2018)

  4. J. Levy Abitbol, M. Karsai, E. Fleury, Location, Occupation, and Semantics based Socioeconomic Status Inference on Twitter. Accepted to 18th IEEE International Conference on Data Mining (ICDM) – IWSC’18 Workshop (2018)

  5. J. Faria de Oliveira, H. Torres Marques Neto, M. Karsai, Information Adoption via Repeated or Diversified Social Influence on Twitter. IEEE/ACM ASONAM, The Hague, The Netherlands, December 7-10 (2020).

  6. L. Espín-Noboa, J. Kertész, M. Karsai, Challenges of inferring high-resolution poverty maps with multimodal data. PML4DC @ International Conference on Learning Representations (ICLR), December 1-5 (2022).

OPINION AND PERSPECTIVE PAPERS

  1. G. Iñiguez, F. Battiston, M. Karsai, Bridging the gap between graphs and networks. Communications Physics (Nature), 3, 88 (2020)

  2. M. Karsai, J. Koltai, O. Vásárhelyi, G. Röst, Hungary in masks/“MASZK” in Hungary. Corvinus Journal of Sociology and Social Policy 11, 2, 139-146 (2020)

  3. M. Tizzoni, E. O. Nsoesie, L. Gauvin, M. Karsai, N. Perra, S. Bansal, Addressing the socioeconomic divide in computational modeling for infectious diseases. Nature Communications 13, 2897 (2022)

BOOK CHAPTERS

  1. L. Kovanen, M. Karsai, K. Kaski, J. Kertész and J. Saramäki, Temporal motifs in communication networks. In Temporal Networks, P. Holme and J. Saramäki (Eds.) Springer (2013)

  2. K. Zhao, M. Karsai and G. Bianconi, Models, Entropy and Information of Temporal Social Networks. In Temporal Networks, P. Holme and J. Saramäki (Eds.) Springer (2013)

  3. M. Karsai and N. Perra, Control Strategies of Contagion Processes in Time-varying Networks. In Temporal Network Epidemiology, N. Masuda and P. Holme (Eds.) Springer (2017)

  4. G. Iñiguez, R. Kikas, Z. Ruan, K. Kaski, J. Kertész, M. Karsai, Service adoption spreading in online social networks. In: Lehmann S., Ahn YY. (eds) Complex Spreading Phenomena in Social Systems. Computational Social Sciences. Springer, Cham (2018)

  5. L. Weng, M. Karsai, N. Perra, F. Menzer, A. Flamini, Attention on Weak Ties in Social and Communication Networks. In: Lehmann S., Ahn YY. (eds) Complex Spreading Phenomena in Social Systems. Computational Social Sciences. Springer, Cham (2018)

  6. Y. Liao, W. Du, M. Karsai, C. Sarraute, M. Minnoni, E. Fleury, Prepaid or Postpaid? That Is the Question: Novel Methods of Subscription Type Prediction in Mobile Phone Services. In: Kaya M., Kawash J., Khoury S., Day MY. (eds) Social Network Based Big Data Analysis and Applications. Lecture Notes in Social Networks. Springer, Cham (2018) e-print: https://arxiv.org/abs/1706.10172

  7. K. Sun, E. Ubaldi, J. Zhang, M. Karsai, N. Perra, The Effects of Local and Global Link Creation Mechanisms on Contagion Processes Unfolding on Time-Varying Networks. In Temporal Network Theory, P. Holme, J. Saramäki (Eds.) Springer (2019)

  8. J. Saramäki, M. Kivelä, M. Karsai, Weighted Temporal Event Graphs. In Temporal Network Theory, P. Holme, J. Saramäki (Eds.) Springer (2019)

PUBLICATIONS UNDER REVIEW

  1. L. Gauvin, M. Génois, M. Karsai, M. Kivelä, T. Takaguchi, E. Valdano, C. L. Vestergaard, Randomized reference models for temporal networks. e-print: arxiv.org/abs/1806.04032, Submitted (2019)

  2. S. Giurgola, S. Piaggesi, M. Karsai, Y. Mejova, A. Panisson, M. Tizzoni, Mapping urban socioeconomic inequalities in developing countries through Facebook advertising data. e-print: arxiv:2105.13774, Submitted (2021)

  3. E. Bokányi, Zs. Vizi, J. Koltai, G. Röst, M. Karsai

Real-time estimation of the effective reproduction number of COVID-19 from behavioral data (Submitted) e-print: arxiv:2207.10738

BOOKS AND SPECIAL ISSUES

  1. C. Cherifi, H. Cherifi, M. Karsai, M. Musolesi (Eds.), Complex Networks & Their Applications VI, Springer (2017)

  2. M. Karsai, H.H. Jo, K. Kaski, Bursty Human Dynamics. Springer Briefs in Complexity, Springer (2018)

  3. B. Ságvári, J. Koltai, M. Karsai (Eds.) Special Issue on COVID-19 and Society: Challenges of the New Normal - Eastern European Journal of Society and Politics. Vol. 7 No. 3 (2021)

HABILITATION THESIS

Computational Human Dynamics
Ecole Normale Superieure de Lyon (2019)
e-print: https://arxiv.org/abs/1907.07475

PHD THESIS

Cooperative behaviour in complex systems. (Ph.D. thesis).
University of Szeged, Université Joseph Fourier, Institut Néel-CNRS
Supervisors: Prof. Iglói Ferenc, Dr. J.-Ch. Anglés d’Auriac
e-print: arxiv.org/abs/0907.3858 (2009)

MASTER THESIS

Nonequilibrum phase transitions on complex networks (in Hungarian)
Supervisor: Prof. Iglói Ferenc
University of Szeged, Department of Theoretical Physics (2005)

Physical description of the trumpet sound (in Hungarian)
Supervisor: Vidovszky László
University of Pécs, Institute of Medial Arts (2006)

INVITED TALKS

Institut Néel, CNRS-Grenoble (December 2007, Grenoble – France), Title: Complex Networks

Department of Theoretical Physics – University of Szeged (May 2009, Szeged – Hungary), Title: Cooperative behaviour in complex systems

INAC-L_Sim CEA-Grenoble (July 2009, Grenoble – France), Title: Nonequilibrium dynamics of the triangular antiferromagnetic Ising model at T=0

Helsinki University of Technology (September 2009, Espoo Finland), Title: Cooperative Behaviour in Complex Networks

BarabasiLab – Northeastern University (November 2009, Boston, MA, USA), Title: Communication sequences and temporal correlations in a mobile communication network

Department of Psychology – University of Warsaw (December 2009, Warsaw, Poland), Title: Temporal Correlation Patterns in Mobile Phone Call Networks

Saïd Business School – University of Oxford (March 2010, Oxford, UK), Title: Analysis of temporal and spatial patterns in mobile phone data

INFSO – EU Commission (November 2010, Brussels, Belgium), Title: Small but slow world

BarabasiLab – Northeastern University (December 2010, Boston, MA, USA), Title: Bursty correlations in communication networks

ISI Foundation (March 2011, Torino, Italy), Title: Circadian pattern and burstiness in human communication activity

Skype Research (March 2011, Tallin, Estonia), Title: Small but slow world

Institute of Physics – Budapest University of Technology and Economics (September. 2011, Budapest, Hungary), Title: Correlations in bursty time series: from human communications to earthquakes

MoBS – Norheastern University (February 2012, Boston, MA, USA), Title: Correlated Dynamics of human interactions

BECS – Aalto University (January 2013, Espoo, Finland), Title: Modelling adoption dynamics of online services

STACC-Microsoft/Skype Labs – University of Tartu (March 2014, Tartu, Estonia)

IXXI – ENS Lyon (May, 2013, Lyon, France), Title: Dynamique des interactions humaines

BECS – Aalto University (March 2014, Espoo, Finland)

RESCOM Summer School – Invited Lecturer (May 2014, Furiani, Corsica, France)

TNetSphys’14 – NetSci’14 Symposium (June 2014, University of California, Berkeley, CA, USA)

CITI Lab – INSA Lyon (June 2014, Lyon, France)

Complex Networks and Dynamics – ICCSA’14 Satellite meeting (June 2014, Le Havre, France)

INRIA UCOOL workshop (October 2014, INRIA Headquarter, Paris,

France)

Institute of Research and Development (October 2014, Bondy, Paris, France)

Center for Network Science – Central European University (November 2014, Budapest, Hungary)

Department of Theoretical Physics – University of Szeged (November

2014, Szeged, Hungary)

Electronics Engineering Department – Universidad Técnica Federico Santa María (April 2015, Valparaíso, Chile)

Laboratoire de Reproduction et Développement des plantes and CBP Centre Blaise Pascal – ENS Lyon (April 2015, Lyon, France)

Higher Order Models – NetSci’15 Satellite meeting (June 2015, Zaragoza, Spain)

Cecam 2015: Recognizing the relevance of change: Analysis and control of time-evolving networks in epidemiology and evolution – Free University Berlin (July 2015, Berlin, Germany)

MARAMI 2015 (October 2015, Nîmes, France)

DPCN 2016 (January 2016, Wroclaw, Poland)

Mechanisms underlying local to global signals in networks (19 May 2016, Lyon, France)

Higher Order Models in Network Science, NetSci’16 Satellite (30 May 2016, Seoul, Korea)

Social Connectome, NetSci’16 Satellite (30 May 2016, Seoul, Korea)

SocioNet’16 workshop ENS Lyon (8 June 2016, Lyon, France)

Coarse-graining of Complex Systems, CCS’16 Satellite, (21 September 2016, Amsterdam, The Netherlands)

BURSTINESS in human behaviour and other natural phenomena, CCS’16 Satellite, (21 September 2016, Amsterdam, The Netherlands)

PhD course on Network Science Uppsala University, Department of Information Technology, (18 November 2016, Uppsala, Sweden)

RIO 2017 Summer School on Computer Science, University of Rio Cuarto, (13-18 February 2017, Rio Cuarto, Argentina)

PhD Course on Network Analysis and Applications, IMéRa – Aix-Marseille University, (9 April 2017, Marseille, France)

Higher Order Models in Network Science, NetSci’18 Satellite (12 June 2018, Paris, France)

Art, Networks and Technology, NetSci’18 Satellite (12 June 2018, Paris, France)

BrainTime workshop, Institut de Neurosciences de la Timone (18 September 2018, Marseille, France)

Language Seminar Series, Laboratoire d’Informatique de Grenoble (20 September 2018, Grenoble, France)

Op-La-Dyn workshop, CCS’18 Satellite (26 September 2018, Thessaloniki, Greece)

Complex systems for the most vulnerable – UNICEF workshop, CCS’18 Satellite (27 September 2018, Thessaloniki, Greece)

SpaceNet workshop, CCS’18 Satellite (27 September 2018, Thessaloniki, Greece)

Workshop on Urban Computing and Society - LNCC (28 November 2018, Valparaiso, Brazil)

Lecture in the Business Analytics and Data Mining MSc program - Bocconi University (7 March 2019, Milano, Italy)

Complex System Academy - Université de Côte d’Azure (25 March 2019, Nice, France)

YEP XV - Information Diffusion on Random Networks - TU/e, EUROSTAT (27 April 2019, Eindhoven, The Netherlands)

Lectures about Artificial Intelligence - EM Lyon Business School - AIM Institute (4 April 2019, Lyon, France)

MOTIF Conference on Human Dynamics - Universidade Federal de Minas Gerais (10 April 2019, Belo Horizonte, Brazil)

UNICEF Innovation seminar - UNICEF Innovation Office - United Nations (4 June 2019, New York, NY, USA)

MédiaLab seminar - SciencePo Paris (25 June 2019, Paris, France)

AGRANDA Simposio Argentino de Ciencia de Datos Grandes Datos - 48 JAIIO (17 Septemner 2019, Salta, Argentina)

Kickoff meeting of the DYNASNET Synergy ERC project - Central European University (23 September 2019, Budapest, Hungary)

Dondena Seminar Series- Bocconi University (14 October 2019, Milano, Italy)

Agglomeration and Social Networks Seminar - MTA Center for Economic and Regional Studies (8 November 2019, Budapest, Hungary)

BigData and Mobility Workshop - University of Havana (25-26 November 2019, La Havana, Cuba)

Data Driven Modelling of Spreading Processes - Alfréd Rényi Institute (4 May 2020, Budapest, Hungary)

Dynamics On and Of Complex Networks, NetSci 2020 satellite workshop (18 September 2020, Rome,Italy/online)

Wigner Seminar Series - Wigner Research Centre for Physics (5 October 2020, Budapest, Hungary)

Magyar Tudomány Ünnepe - Hungarian Academy of Sciences (12 November 2020, Budapest, Hungary)

Pandemic and Society - virus, vaccines and herd immunity - Milton Friedman University (2 February 2021, Budapest, Hungary (online))

Eurasian Summit for Models of Society (3 March 2021, Tokyo, Japan (online))

CIVICA Tour d’Europe, Bocconi University (18 March 2021, Milano, Italy (online))

EduVital Lecture Series, Semmelweis Medical University (31 March 2021, Budapest, Hungary (online))


AccelNet-Multinet Workshop - Networks 2021 Satellite (1 July 2021, Bloomington, IN, USA (online))


Computational Social Science, CCS 2021 Satellite (27 October 2021, Lyon, France)

CONFERENCE TALKS (peer-reviewed, presented by MK)

Non-equilibrium phase transitions on complex networks. Day of Statistical Physics 2006 (22 March 2006, Budapest, Hungary)

Ferromagnetic Random Bond Potts model on scale-free network in the limit of an infinite number of state. Journées de Physique Statistique 2007 (25-26 January 2007, Paris, France)

Rounding of first-order phase transitions and optimal cooperation in scale-free networks. The 32nd Conference of the Middle European Cooperation in Statistical Physics (16-18 April 2007, Ladek Zdrój, Poland),

Non-equilibrium phase transitions and finite-size scaling in weighted scale-free networks. Journées de Physique Statistique 2008 (24-25 January 2008, Paris, France)

Density of critical clusters in strips of strongly disordered systems. Day of Statistical Physics 2008 (19 March 2008, Budapest, Hungary)

Density of critical clusters in strips of strongly disordered systems. The 33rd Conference of the Middle European Cooperation in Statistical Physics (14-16 April 2008, Puchberg/Wels, Austria)

Rounding of first-order phase transitions and optimal cooperation in scale-free networks. International Workshop on Challenges and Visions in the Social Science (18-23 August 2008, ETH-Zürich, Switzerland)

Non-equilibrium dynamics of the triangular antiferromagnetic Ising model at zero temperature. Day of Statistical Physics 2009 (16 April 2009, Budapest, Hungary)

Dynamics and temporal correlations in mobile phone based social networks. NetMob-NetSci 2010 – International School and Conference on Network Science (11 May 2010, MIT Cambridge, Boston, MA, USA)

Timescales in evolving mobile networks. NetMob-NetSci 2010 – International School and Conference on Network Science (11 May 2010, MIT Cambridge, Boston, MA, USA)

Small but slow world. Physics Days 2011 – Annual meeting of the Scandinavian Physics Society (29-31 March 2011, Helsinki, Finland)

How network topology and burstiness slow down spreading. Conference on Applications of Network Theory (7-9 April 2011, Stockholm, Sweden)

Correlated bursty behaviour on human communication. NetSci2011 – Spreading, Influencing and Cascading in Social and Information Networks Satellite (6-10 June 2011, Budapest, Hungary)

Correlated dynamics in egocentric communication networks. Aalto Complex Networks Factory – (4-8 June 2012, Porvoo, Finland)

Spatiotemporal correlations of handset-based service usage. Connect1ons 2012 (December 17, 2012, MIT Media Lab, Cambridge, MA, USA)

Time-varying networks and the weakness of strong tie. NetMob 2013 (May 1-3, 2013, MIT Media Lab, Boston, MA, USA)

Adoption Dynamics of Online Communication Networks. TDNet 2013 (June 3-4, 2013, Technical University of Denmark, Copenhagen, Denmark)

Time-varying networks and the weakness of strong tie. NetSci 2013 (June 5-7, 2013, Technical University of Denmark, Copenhagen, Denmark)

A new measure to detect global bridges. TopoNets’14 – NetSci’14 Satellite (June 2, University of California, Berkeley, CA, USA)

Data-driven spreading for the detection of weak ties. ECCS’14 (23 September, Lucca, Italy)

Socioeconomic correlations in communication networks. NetMob’15 (8 April, MIT MediaLab, Cambridge, MA, USA)

The anatomy of online adoption spreading. NetSci’15 (5 June, Zaragoza, Spain)

Complex contagion process in spreading of online innovation. ICCSS’15 (9 June, Helsinki, Finland)

Socioeconomic correlations in social communication networks. ICCSS’15 (11 June, Helsinki, Finland)

Structure and dynamics of online service adoption spreading. COMPLENET’16 (30 March 2016, Dijon, France)

Socioeconomic Correlations and Stratification in Social Communication Networks. NetSci’16 (1 June 2016, Seoul, Korea)

Kinetics of Social Contagion. STATPHYS26 (22 June 2016, Lyon, France)

Correlations of consumption patterns in social-economic networks. IEEE/ACM ASONAM (21 August 2016, San Francisco CA)

Higher-order correlations of consumption patterns in social-economic networks. CCS 2016 (19 September 2016, Amsterdam, The Netherlands)

Higher-order correlations of consumption patterns in social-economic networks. NetMob’17 (5-7 April 2017, Milano, Italy)

All at once: a global representation of δt-connected time-respecting paths in temporal networks. CCS 2017 (17-22 September 2017, Cancún, Mexico)

Not all friends are equal: How heterogeneous social influence promotes or hinders behavioural cascades in complex networks. CCS 2017 (17-22 September 2017, Cancún, Mexico)

Socioeconomic dependencies of linguistic patterns in Twitter: a multivariate analysis. WWW’18 The Web Conference (23-27 April 2018, Lyon, France)

Threshold driven contagion on multiplex networks. NetSci’18 (11-15 June 2018, Paris, France)

Prediction of socioeconomic status in Twitter via network and language. NetSci’18 (11-15 June 2018, Paris, France)

Linguistic and social network coevolution: joint analysis of heterogenous sources of information in Twitter. NetSci’18 (11-15 June 2018, Paris, France)

Socioeconomic and network dependencies of linguistic patterns in Twitter. IC2S2’18 (July 12-15, Evanston, IL, USA)

Socioeconomic status inference in Twitter via network and language. CCS’18 (24-28 September 2018, Thessaloniki, Greece)

Multiple phase transitions in threshold driven contagion on multiplex networks. CCS’18 (24-28 September 2018, Thessaloniki, Greece)

Optimal Proxy Selection for Socioeconomic Status Inference, Network Science for Social Goods - NetSci’19 satellite (27-31 May 2019, Burlington, VT, USA)

Reentrant phase transitions in complex contagion on multiplex networks, NetSci’19 (27-31 May 2019, Burlington, VT, USA)

Socioeconomic inequalities and their consequences on network formation and purchase behaviour, IC2S2 - 5th International Conference on Computational Social Science (17-20 July 2019, Amsterdam, The Netherlands)

Remotely sensed socioeconomic correlations of urban patterns, IC2S2 - 6th International Conference on Computational Social Science (17-20 July 2019, Boston, United States / online)

Reentrant phase transitions in complex contagion on multiplex networks, MECO 45, 45th Middle European Cooperation In Statistical Physics (14-16 September 2020, Cluj Napoca, Romania / online)

Joint embedding of network structure and node features via graph convolutional networks, NetSci’20 (17-25 September 2020, Rome, Italy / online)

Age contact matrix reconstruction from online and representative samples, CCS 2020 (4-11 December, 2020, Thessaloniki, Greece / online)

Age contact matrix reconstruction from online and representative samples. Networks 2021 (5-10 July 2021, Bloomington, IN, USA (online))

yrCSS Warm-up Meeting, CCS 2021 (23 October 2021, Lyon, France)

Computational Social Science, CCS 2021 Satellite (27 October 2021, Lyon, France)

Accelnet-Multinet Seminar (6 May 2022, Online)

Lake Como School of Advanced Studies - Complex Networks (May 2022, Como, Italy)

Tea Seminar Series, MIT Media Lab (May 28, Cambridge, MA, USA)

NetSI Seminar Series, Northeastern University (May 29, Boston, MA, USA)

CIVICA Research Conference, Central European University (September 1, Budapest, Hungary)

Covid Crisis Lab Seminar - Bocconi University (September 26, Milano, Italy)

CITIES Symposium - New York University Abu Dhabi (November 20-22, Abu Dhabi, United Arab Emirates)

MEDIA HIGHLIGHTS AND PUBLIC APPEARANCES

Patchy communication.

Nature 482, 7384 (2012)

A new model for our ‘bursty behavior’.

NEU News (by Angela Herring) – 14 May, 2012

Bursty behaviour found to have similar features across complex systems.

Aalto News – 1 June, 2012

phys.org – 1 June, 2012

CampusChannel – TV interview about the ENS Lyon Complex Networks Master 2 program.

YouTube – 27 December, 2014

Modéliser les dynamiques des réseaux #pandémie.

Annual journal of CNRS en Rhône Auvergne (2015)

Skype data of 500 million people reveals the real patterns of social adoption

ENS Lyon News – 24 June 2016

Aalto News – 29 June 2016

Phys.org – 29 June 2016

Science Daily – 29 June 2016

Science Newsline – 29 June 2016

Alpha Galileo – 29 June 2016

Cornell University News – 29 June 2016

L’entre-soi social confirmé par les big data

Le Monde – 25 January 2017

Quand le big data s’intéresse aux riches

France Inter (radio interview) – 25 January 2017

Interactional and informational attention on Twitter, Cover page of the MDPI journal Information, Volume 10, Issue 8, 2019

Radio interview with Márk Hegedűs, Európa Rádió, Tallózó, 04/29/2020

Magyar Narancs, Próba szerencse, report with Teczárd Szilárd, 07/05/2020

Radio interview with Farkas Beatrix, Karc FM, Spájz, 13/05/2020

Radio interview with Márk Hegedűs, 29/04/2020, Európa Rádió, Tallózó, 08/09/2020

Radio Interview with Simon-Pavlov Judit, Kérdőjel?, Karc FM, 09/09/2020

Interview with penzcentrum.hu, 24/09/2020

CEU’s Márton Karsai to Speak on Epidemic Modeling in the 2020 Celebration of Hungarian Science

CEU News release, 30/11/2020

Radio interview, Kovács Ádám Hangpostája, Tilos Rádió, 19/11/2020

techxplore.com: Using deep learning to infer the socioeconomic status of people in different urban areas

Most Hungarians Would Not Vaccinate Themselves Against COVID. Interview on Telex (independent Hungarian news portal), 20/10/2020

Radio interview, Bonyolult dolgok, Klub Rádió, 21/01/2021

CEU Department of Network and Data Science Research Contributes to Pandemic Response on Multiple Fronts, CEU News release, 23/02/2021

CEU News - CEU Department of Network and Data Science Research Contributes to Pandemic Response on Multiple Fronts 23/02/2021

Cover article in portfolio.hu 28/02/2021

Cover article in medicalonline.hu 19/02/2021

Cover article in profitline.hu 19/02/2021

Cover article in blikk.hu 19/02/2021