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20122026
most citedGED: the method for group evolution discovery in social networks

170 citations · 343 across the 16 of their papers we have counts for

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11 papers · 1 filter

cs.SI2017★ 17 cited

Analysis of group evolution prediction in complex networks

Stanisław Saganowski, Piotr Bródka, Michał Koziarski +1

In the world, in which acceptance and the identification with social communities are highly desired, the ability to predict evolution of groups over time appears to be a vital but…

cs.SI2017

Analysis of Social Group Dynamics

Stanisław Saganowski

In this thesis the method for social group evolution discovery, called GED, is analyzed. Especially, GED method is compared with other methods tracking changes in groups over time…

cs.SI2016★ 4 cited

Community Evolution

Stanisław Saganowski, Piotr Bródka, Przemysław Kazienko

The continuous interest in the social network area contributes to the fast development of this field. The new possibilities of obtaining and storing data facilitate deeper analysis…

cs.SI2015★ 38 cited

Predicting Community Evolution in Social Networks

Stanisław Saganowski, Bogdan Gliwa, Piotr Bródka +3

Nowadays, sustained development of different social media can be observed worldwide. One of the relevant research domains intensively explored recently is analysis of social commun…

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…