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

170 citations · 212 across the 6 of their papers we have counts for

collaborators

6 papers

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.SI20135 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…

cs.SI2012

Tracking Group Evolution in Social Networks

Piotr Bródka, Stanisław Saganowski, Przemysław Kazienko

Easy access and vast amount of data, especially from long period of time, allows to divide social network into timeframes and create temporal social network. Such network enables t…

cs.SI201227 cited

Identification of Group Changes in Blogosphere

Bogdan Gliwa, Stanisław Saganowski, Anna Zygmunt +3

The paper addresses a problem of change identification in social group evolution. A new SGCI method for discovering of stable groups was proposed and compared with existing GED met…

cs.SI201210 cited

Influence of the Dynamic Social Network Timeframe Type and Size on the Group Evolution Discovery

Stanisław Saganowski, Piotr Bródka, Przemysław Kazienko

New technologies allow to store vast amount of data about users interaction. From those data the social network can be created. Additionally, because usually also time and dates of…

cs.SI2012170 cited

GED: the method for group evolution discovery in social networks

Piotr Bródka, Stanisław Saganowski, 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…