62 citations · 347 across the 22 of their papers we have counts for
23 papers
The role of conformity in opinion dynamics modelling with multiple social circles
Stanisław Stępień, Jarosław Jankowski, Piotr Bródka +1
Interaction with others influences our opinions and behaviours. Our activities within various social circles lead to different opinions expressed in various situations, groups, and…
Temporal Network Epistemology: on Reaching Consensus in Real World Setting
Radosław Michalski, Damian Serwata, Mateusz Nurek +3
This work develops the concept of temporal network epistemology model enabling the simulation of the learning process in dynamic networks. The results of the research, conducted on…
CasSeqGCN: Combining Network Structure and Temporal Sequence to Predict Information Cascades
Yansong Wang, Xiaomeng Wang, Radosław Michalski +2
One important task in the study of information cascade is to predict the future recipients of a message given its past spreading trajectory. While the network structure serves as t…
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…
Predicting Relationship Labels and Individual Personality Traits from Telecommunication History in Social Networks using Hawkes Processes
Mateusz Nurek, Radosław Michalski, Omar Lizardo +1
Mobile phones contain a wealth of private information, so we try to keep them secure. We provide large-scale evidence that the psychological profiles of individuals and their relat…
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…
Entropy Measures of Human Communication Dynamics
Marcin Kulisiewicz, Przemysław Kazienko, Bolesław K. Szymański +1
Human communication is commonly represented as a temporal social network, and evaluated in terms of its uniqueness. We propose a set of new entropy-based measures for human communi…
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…
eSource for clinical trials: Implementation and evaluation of a standards-based approach in a real world trial
Jean-Francois Ethier, Vasa Curcin, Mark M. McGilchrist +9
Objective: The Learning Health System (LHS) requires integration of research into routine practice. eSource or embedding clinical trial functionalities into routine electronic heal…
A multilayer network dataset of interaction and influence spreading in a virtual world
Jarosław Jankowski, Radosław Michalski, Piotr Bródka
Presented data contains the record of five spreading campaigns that occurred in a virtual world platform. Users distributed avatars between each other during the campaigns. The pro…
Balancing Speed and Coverage by Sequential Seeding in Complex Networks
Jarosław Jankowski, Piotr Bródka, Przemysław Kazienko +3
Information spreading in complex networks is often modeled as diffusing information with certain probability from nodes that possess it to their neighbors that do not. Information…
Learning in Unlabeled Networks - An Active Learning and Inference Approach
Tomasz Kajdanowicz, Radosław Michalski, Katarzyna Musiał +1
The task of determining labels of all network nodes based on the knowledge about network structure and labels of some training subset of nodes is called the within-network classifi…
Knowledge workers collaborative learning behavior modeling in an organizational social network
Przemyslaw Rozewski, Jaroslaw Jankowski, Piotr Brodka +1
Computations related to learning processes within an organizational social network area require some network model preparation and specific algorithms in order to implement human b…
Knowledge Acquisition from Social Platforms Based on Network Distributions Fitting
Jarosław Jankowski, Radosław Michalski, Piotr Bródka +2
The uniqueness of online social networks makes it possible to implement new methods that increase the quality and effectiveness of research processes. While surveys are one of the…
Studying Diffusion of Viral Content at Dyadic Level
Anita Zbieg, Blazej Zak, Jaroslaw Jankowski +2
Diffusion of information and viral content, social contagion and influence are still topics of broad evaluation. As theory explaining the role of influentials moves slightly to red…
Seed Selection for Spread of Influence in Social Networks: Temporal vs. Static Approach
Radosław Michalski, Tomasz Kajdanowicz, Piotr Bródka +1
The problem of finding optimal set of users for influencing others in the social network has been widely studied. Because it is NP-hard, some heuristics were proposed to find sub-o…
Quantifying Social Network Dynamics
Radosław Michalski, Piotr Bródka, Przemysław Kazienko +1
The dynamic character of most social networks requires to model evolution of networks in order to enable complex analysis of theirs dynamics. The following paper focuses on the def…
Negative Effects of Incentivised Viral Campaigns for Activity in Social Networks
Radosław Michalski, Jarosław Jankowski, Przemysław Kazienko
Viral campaigns are crucial methods for word-of-mouth marketing in social communities. The goal of these campaigns is to encourage people for activity. The problem of incentivised…
Studying Paths of Participation in Viral Diffusion Process
Jarosław Jankowski, Sylwia Ciuberek, Anita Zbieg +1
Authors propose a conceptual model of participation in viral diffusion process composed of four stages: awareness, infection, engagement and action. To verify the model it has been…
The Multidimensional Study of Viral Campaigns as Branching Processes
Jarosław Jankowski, Radosław Michalski, Przemysław Kazienko
Viral campaigns on the Internet may follow variety of models, depending on the content, incentives, personal attitudes of sender and recipient to the content and other factors. Due…