46 citations · 146 across the 9 of their papers we have counts for
13 papers
Effective Influence Spreading in Temporal Networks with Sequential Seeding
Radosław Michalski, Jarosław Jankowski, Piotr Bródka
The spread of influence in networks is a topic of great importance in many application areas. For instance, one would like to maximise the coverage, limiting the budget for marketi…
Sequential seeding in multilayer networks
Piotr Bródka, Jarosław Jankowski, Radosław Michalski
Multilayer networks are the underlying structures of multiple real-world systems where we have more than one type of interaction/relation between nodes: social, biological, compute…
Combining Machine Learning and Social Network Analysis to Reveal the Organizational Structures
Mateusz Nurek, Radosław Michalski
Formation of a hierarchy within an organization is a natural way of assigning the duties, delegating responsibilities and optimizing the flow of information. Only for the smallest…
Probing Limits of Information Spread with Sequential Seeding
Jaroslaw Jankowski, Boleslaw K. Szymanski, Przemyslaw Kazienko +2
We consider here information spread which propagates with certain probability from nodes just activated to their not yet activated neighbors. Diffusion cascades can be triggered by…
Social Networks through the Prism of Cognition
Radosław Michalski, Bolesław K. Szymański, Przemysław Kazienko +3
Human relations are driven by social events-people interact, exchange information, share knowledge and emotions, and gather news from mass media. These events leave traces in human…
Seeds Buffering for Information Spreading Processes
Jarosław Jankowski, Piotr Bródka, Radosław Michalski +1
Seeding strategies for influence maximization in social networks have been studied for more than a decade. They have mainly relied on the activation of all resources (seeds) simult…