About
Radosław Michalski is an Associate Professor with the Department of Artificial Intelligence, Wrocław University of Science and Technology, Wrocław, Poland. His research interests include network science, complex (especially temporal) networks, and spreading processes on top of these. In many cases he uses machine learning to reveal specific phenomena in networks. Recently, he also started to investigate another type of complex network - based on blockchain, where entities are linked by transactions. He has coauthored over 50 publications in these areas, fifteen of which were published in influential journals. For more details, visit his personal webpage.
Research Interests
Education
MSc in Computer Science
Wroclaw University of Science and Technology · 2006
PhD in Computer Science
Wroclaw University of Science and Technology · 2014
DSc (Habilitation) in Information and Communication Technology
Wroclaw University of Science and Technology · 2022
Publications
Network Diffusion Framework to Simulate Spreading Processes in Complex Networks
2024 · Big Data Mining and Analytics 7(3)
The Role of Conformity in Opinion Dynamics Modelling with Multiple Social Circles
2023 · ICCS 2023
Improving cellular automata for distributed ledgers
2022 · *22nd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2022, 16-19 May 2022, Taormina (Messina), Italy : proceedings*
Temporal network epistemology: on reaching consensus in a real-world setting
2022 · *Chaos*
CasSeqGCN: Combining network structure and temporal sequence to predict information cascades
2022 · *Expert Systems with Applications*
Social networks through the prism of cognition
2021 · *Complexity*
Sequential seeding in multilayer networks
2021 · *Chaos*
Dru: studying blockchain as a complex network
2020 · *Proceedings of the 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020 : Virtual, 7-10 December 2020*
A dynamic Vote-Rank based approach for effective sequential initialization of information spreading processes within complex networks
2020 · *Computational Science - ICCS 2020 : 20th International Conference Amsterdam, the Netherlands, June 3-5, 2020 : proceedings. Pt. 1*
Combining machine learning and social network analysis to reveal the organizational structures
2020 · *Applied Sciences*
Entropy-based measure for influence maximization in temporal networks
2020 · *Computational Science - ICCS 2020 : 20th International Conference Amsterdam, the Netherlands, June 3-5, 2020 : proceedings. Pt. 4*
Analysing and predicting the adoption of anonymous transactions in cryptocurrencies
2020 · *Business Information Systems Workshops : BIS 2020 International Workshops : Colorado Springs, CO, USA, June 8-10, 2020 : revised selected papers*
Effective influence spreading in temporal networks with sequential seeding
2020 · *IEEE Access*
Revealing the character of nodes in a blockchain with supervised learning
2020 · *IEEE Access*
Finding influentials in social networks using evolutionary algorithm
2019 · *Journal of Computational Science*
Social network analysis in organizational structures evaluation
2018 · *Encyclopedia of Social Network Analysis and Mining*
Strategic distribution of seeds to support diffusion in complex networks
2018 · *PLoS ONE*
Probing limits of information spread with sequential seeding
2018 · *Scientific Reports*
Entropy measures of human communications dynamics
2018 · *Scientific Reports*
Seeds buffering for information spreading processes
2017 · *Social Informatics : 9th International Conference, SocInfo 2017, Oxford, UK, September 13-15, 2017 : proceedings. Pt. 1*
eSource for clinical trials: implementation and evaluation of a standards-based approach in a real world trial
2017 · *International Journal of Medical Informatics*
Increasing coverage of information spreading in social networks with supporting seeding
2017 · *Data Mining and Big Data : Second International Conference, DMDB 2017, Fukuoka, Japan, July 27 - August 1, 2017 : proceedings*
Increasing coverage of information diffusion processes by reducing the number of initial seeds
2017 · *Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, ASONAM '17 : July 31-August 03, 2017, Sydney, Australia*
A multilayer network dataset of interaction and influence spreading in a virtual world
2017 · *Scientific Data*
Balancing speed and coverage by sequential seeding in complex networks
2017 · *Scientific Reports*
Evolutionary algorithm for seed selection in social influence process
2016 · *Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016 : San Francisco, CA, USA 18-21 August 2016*
Learning in unlabeled networks - an active learning and inference approach
2016 · *AI Communications*
How to prevent user abusive behavior on webchats?
2016 · *14th Students' Science Conference : management and algorithms, 22-25 September, 2016.*
Knowledge workers’ collaborative learning behavior modeling in an organizational social network
2015 · *Computers in Human Behavior*
Knowledge acquisition from social platforms based on network distributions fitting
2015 · *Computers in Human Behavior*
Maximizing social influence in real-world networks - the state of the art and current challenges
2015 · *Propagation phenomena in real world networks*
Linear threshold model in temporal networks :seed selection for social influence
2015 · *Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015 : Paris, France 25-28 August 2015*
Adaptive survey design using structural characteristics of the social network
2015 · *Social Informatics : 7th International Conference, SocInfo 2015 Beijing, China, December 9 – 12, 2015 : proceedings*
Maximizing the spread of influence in temporal social networks
2014
The same network - different communities? :the multidimensional study of groups in the cyberspace
2014 · *Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014 : Beijing, China, 17-20 August 2014*
Social network analysis in organizational structures evaluation
2014 · *Encyclopedia of Social Network Analysis and Mining. Vol. 3, S-Z*
Seed selection for spread of influence in social networks: temporal vs. static approach
2014 · *New Generation Computing*
Convince a dozen more and succeed - the influence in multi-layered social networks
2013 · *2013 International Conference on Signal-Image Technology and Internet-Based Systems, 2-5 December 2013, Kyoto, Japan : proceedings*
The diffusion of viral content in multi-layered social networks
2013 · *Computational collective intelligence : technologies and applications : 5th International Conference, ICCCI 2013, Craiova, Romania, September 11-13, 2013 : proceedings*
Compensatory seeding in networks with varying avaliability of nodes
2013 · *The 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013, Niagara Falls, Canada, 25-28 August 2013.*
Active learning and inference method for within network classification
2013 · *The 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013, Niagara Falls, Canada, 25-28 August 2013.*
From data to human behaviour
2013 · *2013 International Conference on Social Intelligence and Technology, State College, Pennsylvania, 8-10 May 2013 : proceedings.*
Studying paths of participation in viral diffusion process
2012 · *Social Informatics : 4th International Conference, SocInfo 2012, Lausanne, Switzerland, December 5-7, 2012 : proceedings*
The multidimensional study of viral campaigns as branching processes
2012 · *Social Informatics : 4th International Conference, SocInfo 2012, Lausanne, Switzerland, December 5-7, 2012 : proceedings*
Quantifying social network dynamics
2012 · *Proccedings of the 2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN), 2012 Eighth International Conference on Information Assurance and Security (IAS), 2012 Eighth International Conference on Next Generation Web Services Practices (NWeSP), 21-23 November 2012, Säo Carlos, Brasil*
Negative effects of incentivised viral campaigns for activity in social networks
2012 · *The Second International Conference on Cloud and Green Computing, The Second International Conference on Social Computing and Its Applications, 1-3 November 2012, Xiangtan, Hunan, China : proceedings*
Towards the exception-aware workflow system
2012 · *Proceedings of the IADIS International Conference Applied Computing 2012, Madrid, Spain, October 19-21, 2012*
Gathering information about social network users by means of CSRF attack
2012 · *Multimedia and Internet Systems : new solutions*
Studying diffusion of viral content at dyadic level
2012 · *Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Istanbul, Turkey, 26-29 August 2012.*
Predicting social network measures using machine learning approach
2012 · *Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Istanbul, Turkey, 26-29 August 2012.*
Evaluation of corporate structure based on social network analysis
2012 · *Social development and high technology industries : strategies and applications*
Matching organizational structure and social network extracted from email communication
2011 · *Business information systems : 14th International Conference, BIS 2011, Poznań, Poland, June 15-17, 2011 : proceedings*
Social network analysis as a tool for improving enterprise architecture
2011 · *Agent and multi-agent systems: technologies and applications : 5th KES International Conference, KES-AMSTA 2011, Manchester, UK, 29 June - July 1, 2011 : proceedings*
Modelling social network evolution
2011 · *Social Informatics : Third International Conference, SocInfo 2011, Singapore, October 6-8, 2011 : proceedings*