R
Radosław Michalski
Researcher at Wrocław University of Technology
Publications - 66
Citations - 776
Radosław Michalski is an academic researcher from Wrocław University of Technology. The author has contributed to research in topics: Social network analysis & Social network. The author has an hindex of 13, co-authored 63 publications receiving 667 citations. Previous affiliations of Radosław Michalski include West Pomeranian University of Technology.
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Book ChapterDOI
Matching Organizational Structure and Social Network Extracted from Email Communication
TL;DR: The concept of matching social network and corporate hierarchy in organizations with stable corporate structure is presented to confirm whether social position of an employee calculated on the basis of the social network differs significantly from the formal employee role in the company.
Journal ArticleDOI
Balancing Speed and Coverage by Sequential Seeding in Complex Networks.
Jarosław Jankowski,Piotr Bródka,Przemysław Kazienko,Boleslaw K. Szymanski,Boleslaw K. Szymanski,Radosław Michalski,Tomasz Kajdanowicz +6 more
TL;DR: Novel approaches for seed initiation that replace the commonly used activation of all seeds at once with a sequence of initiation stages are introduced and results indicate that, regardless of the seed ranking method used, sequential seeding strategies deliver better coverage than single stage seeding in about 90% of cases.
Journal ArticleDOI
Seed Selection for Spread of Influence in Social Networks: Temporal vs. Static Approach
TL;DR: This paper analyses how the results of one of the typical models for spread of influence - linear threshold - differ depending on the strategy of building the social network used later for choosing seeds, and reveals that temporal approach is always better than static and the higher granularity in the temporal social network while seeding, the more finally influenced nodes.
Journal ArticleDOI
Seed Selection for Spread of Influence in Social Networks: Temporal vs. Static Approach
TL;DR: In this paper, the authors analyzed how the results of one of the typical models for spread of influence differ depending on the strategy of building the social network used later for choosing seeds.
Journal ArticleDOI
Knowledge workers' collaborative learning behavior modeling in an organizational social network
TL;DR: The authors found the best strategies for knowledge facilitator, knowledge collector, and expert roles allocation and developed a way to accelerate the community of practice in a network.