Radosław Michalski
Radosław Michalski
Wrocław University of Science and Technology
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Matching organizational structure and social network extracted from email communication
R Michalski, S Palus, P Kazienko
Business Information Systems: 14th International Conference, BIS 2011 …, 2011
Seed selection for spread of influence in social networks: Temporal vs. static approach
R Michalski, T Kajdanowicz, P Bródka, P Kazienko
New Generation Computing 32, 213-235, 2014
Balancing speed and coverage by sequential seeding in complex networks
J Jankowski, P Bródka, P Kazienko, BK Szymanski, R Michalski, ...
Scientific reports 7 (1), 891, 2017
Combining machine learning and social network analysis to reveal the organizational structures
M Nurek, R Michalski
Applied Sciences 10 (5), 1699, 2020
Knowledge workers’ collaborative learning behavior modeling in an organizational social network
P Różewski, J Jankowski, P Brodka, R Michalski
Computers in Human Behavior 51, 1248-1260, 2015
CasSeqGCN: Combining network structure and temporal sequence to predict information cascades
Y Wang, X Wang, Y Ran, R Michalski, T Jia
Expert Systems with Applications 206, 117693, 2022
Revealing the character of nodes in a blockchain with supervised learning
R Michalski, D Dziubałtowska, P Macek
Ieee Access 8, 109639-109647, 2020
eSource for clinical trials: implementation and evaluation of a standards-based approach in a real world trial
JF Ethier, V Curcin, MM McGilchrist, SNLC Keung, L Zhao, A Andreasson, ...
International Journal of Medical Informatics 106, 17-24, 2017
Finding influentials in social networks using evolutionary algorithm
M Weskida, R Michalski
Journal of Computational Science 31, 77-85, 2019
Predicting Social Network Measures using Machine Learning Approach
R Michalski, P Kazienko, D Król
Advances in Social Networks Analysis and Mining (ASONAM), 2012 IEEE/ACM …, 2012
Entropy measures of human communication dynamics
M Kulisiewicz, P Kazienko, BK Szymanski, R Michalski
Scientific reports 8 (1), 15697, 2018
Evolutionary algorithm for seed selection in social influence process
M Weskida, R Michalski
2016 IEEE/ACM International Conference on Advances in Social Networks …, 2016
Probing limits of information spread with sequential seeding
J Jankowski, BK Szymanski, P Kazienko, R Michalski, P Bródka
Scientific reports 8 (1), 1-9, 2018
Compensatory seeding in networks with varying avaliability of nodes
J Jankowski, R Michalski, P Kazienko
Proceedings of the 2013 IEEE/ACM International Conference on Advances in …, 2013
The multidimensional study of viral campaigns as branching processes
J Jankowski, R Michalski, P Kazienko
Social Informatics: 4th International Conference, SocInfo 2012, Lausanne …, 2012
A multilayer network dataset of interaction and influence spreading in a virtual world
J Jankowski, R Michalski, P Bródka
Scientific data 4 (1), 1-9, 2017
Social network analysis as a tool for improving enterprise architecture
P Kazienko, R Michalski, S Palus
KES International Symposium on Agent and Multi-Agent Systems: Technologies …, 2011
Maximizing social influence in real-world networks—the state of the art and current challenges
R Michalski, P Kazienko
Propagation Phenomena in Real World Networks, 329-359, 2015
Negative effects of incentivised viral campaigns for activity in social networks
R Michalski, J Jankowski, P Kazienko
2012 Second International Conference on Cloud and Green Computing, 391-398, 2012
Convince a dozen more and succeed--the influence in multi-layered social networks
R Michalski, P Kazienko, J Jankowski
2013 International Conference on Signal-Image Technology & Internet-Based …, 2013
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