Radosław Michalski

Project: Diffusion of Information in Temporal Social Networks

Funded by

National Science Center, Poland

Funding scheme

NCN SONATA

Project number

2015/17/D/ST6/04046

Research period

2016-2020

Project description

The goal of this project is to analyse the dependence between the network dynamics and the processes occurring in these networks, since our knowledge in this area is still insufficient. As it was already observed, many of our activities are bursty, i.e., these are very intense in short periods, but then there are huge gaps between next bursts. This project is intended to analyse how this phenomenon slows down or accelerates diffusion of innovations or social influence in social networks and what are the methods to maximize the outcomes of these processes. More details...

Publications

This list contains only journal, book chapters or conference publications. All other activities (presentations, posters) related to the project can be found among all scientific activities listed here.

International journals

Jankowski, J., Michalski, R., Bródka, P.: A multilayer network dataset of interaction and influence spreading in a virtual world. Scientific Data (JCR-listed journal), 4, article number 170144, Nature Publishing Group (2017)
Jankowski, J., Bródka, P., Kazienko, P., Szymański, B., Michalski, R., Kajdanowicz, T.: Balancing Speed and Coverage by Sequential Seeding in Complex Networks. Scientific Reports (JCR-listed journal), 7, article number 891, Nature Publishing Group (2017)
Kulisiewicz, M., Kazienko, P., Szymański, B., Michalski, R.: Entropy Measures of Human Communication Dynamics. Scientific Reports (JCR-listed journal), 8, article number 15697, Nature Publishing Group (2018)
Jankowski, J., Szymański, B., Kazienko, P., Michalski, R., Bródka, P.: Probing Limits of Information Spread with Sequential Seeding. Scientific Reports (JCR-listed journal), 8, article number 13996, Nature Publishing Group (2018)
Weskida, M., Michalski, R.: Finding Inuentials in Social Networks using Evolutionary Algorithm. Journal of Computational Science (JCR-listed journal), Vol. 31, pp. 77-85 (2019)
Nurek, M., Michalski, R.: Combining Machine Learning and Social Network Analysis to Reveal the Organizational Structures. Applied Sciences 2020, 10(5), 1699 (2020)
Michalski, R., Szymański, B.K., Kazienko, P., Lebiere, C., Lizardo, O., Kulisiewicz, M.: Social Networks through the Prism of Cognition. Complexity (JCR-listed journal), Vol. 2021, Article ID 4963903, Wiley/Hindawi (2021)

Book chapters

Michalski, R., Kazienko, P.: Social Network Analysis in Organizational Structures Evaluation. Alhajj, R., Rokne, J. (eds.) Encyclopedia of Social Network Analysis and Mining, Living reference work, pp. 1-13. Springer (2017)

International conferences

Weskida, M., Michalski, R.: Evolutionary Algorithm for Seed Selection in Social Influence Process. SNAA 2016 Workshop at ASONAM 2016, The 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. IEEE Computer Society, pp. 1189-1196 (2016)
Jankowski, J., Bródka, P., Michalski, R., Kazienko, P.: Seeds Buffering for Information Spreading Processes. SocInfo 2017, 9th International Conference on Social Informatics, Lecture Notes in Computer Science LNCS, vol. 10539, pp. 628-641, Springer, Berlin Heidelberg (2017)

Interested in collaboration?

If you are interested in collaboration or more details on the project, feel free to contact me.