activity
20122024
most citedGED: the method for group evolution discovery in social networks

170 citations · 1.1k across the 40 of their papers we have counts for

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Showing 2013Show all

5 papers · 1 filter

cs.SI2013★ 36 cited

Different Approaches to Community Evolution Prediction in Blogosphere

Bogdan Gliwa, Piotr Bródka, Anna Zygmunt +3

Predicting the future direction of community evolution is a problem with high theoretical and practical significance. It allows to determine which characteristics describing commun…

cs.SI2013

Group Evolution Discovery in Social Networks

Piotr Bródka, Stanisław Saganowski, Przemysław Kazienko

Group extraction and their evolution are among the topics which arouse the greatest interest in the domain of social network analysis. However, while the grouping methods in social…

cs.SI2013★ 5 cited

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…

cs.SI2013★ 4 cited

Key User Extraction Based on Telecommunication Data (aka. Key Users in Social Network. How to find them?)

Piotr Bródka

The number of systems that collect vast amount of data about users rapidly grow during last few years. Many of these systems contain data not only about people characteristics but…

cs.SI2013★ 5 cited

Influence Of The User Importance Measure On The Group Evolution Discovery

Stanisław Saganowski, Piotr Bródka, Przemysław Kazienko

One of the most interesting topics in social network science are social groups. Their extraction, dynamics and evolution. One year ago the method for group evolution discovery (GED…