Pawel Szyman

Orcid: 0000-0003-3353-5522

According to our database1, Pawel Szyman authored at least 9 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Centrality-based approach to finding key actors in an organizational social network.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 29th International Conference KES-2025, 2025

2024
Exploring weighted organizational social networks: community detection case studies.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 28th International Conference KES-2024, 2024

Experimental Study on Link Prediction in Unweighted and Weighted Time-Evolving Organizational Social Network.
Proceedings of the Computational Collective Intelligence - 16th International Conference, 2024

2023
Link prediction in time-evolving organizational social networks.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Toward Effective Link Prediction Based on Local Information in Organizational Social Networks.
Proceedings of the Computational Collective Intelligence - 15th International Conference, 2023

2022
Link prediction in organizational social network based on e-mail communication.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

Impact of Similarity Measure on the Quality of Communities Detected in Social Network by Hierarchical Clustering.
Proceedings of the Computational Collective Intelligence - 14th International Conference, 2022

2021
Detecting Communities in Organizational Social Network Based on E-mail Communication.
Proceedings of the Intelligent Decision Technologies, 2021

Identifying Key Actors in Organizational Social Network Based on E-Mail Communication.
Proceedings of the Advances in Computational Collective Intelligence, 2021


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