The goal of this thesis is to create an application which will be able to identify clusters in graphs. The application contains modified algorithms from cluster analysis and graph algorithms used for identifying communities in complex networks. The purpose of this work is not speed optimalisation of implementation but the opportunity to try and compare results of each algorithm and verify whether special graph algorithms are truly better. The core of this task was to modify algorithms from classical cluster analysis (four were chosen, with a set of settings each) to work with graphs and implement and present them within one application along with community detection algorithms (two, in more versions each)
© Springer-Verlag Berlin Heidelberg 2016. Networks represent patterns of interactions between compon...
Social networks analysis can be used to study the society's structure, its development and the peopl...
U ovom radu obrađeni su osnovni koncepti polinomijalnih algoritama otkrivanja zajednica u grafu, tj....
The goal of this thesis is to create an application which will be able to identify clusters in graph...
Social network analysis is a cross-disciplinary study of interest to mathematicians, physicists, com...
Graphs or networks are mathematical structures that consist of elements that can be pairwise linked ...
The incredible rising of on-line social networks gives a new and very strong interest to the set of ...
International audienceThe community detection problem is very natural : given a set of people and th...
The rise of the Internet has brought people closer. The number of interactions between people across...
International audienceReal world complex networks may contain hidden structures called communities o...
A characteristic feature of many relevant real life networks, like the WWW, Internet, transportation...
The study of complex networks has significantly advanced our understanding of community structures w...
In some Computer Vision applications there is the need for grouping, in one or more clusters, only a...
In some Computer Vision applications there is the need for grouping, in one or more clusters, only a...
Complex networks are a special type of graph that frequently appears in nature and in many different...
© Springer-Verlag Berlin Heidelberg 2016. Networks represent patterns of interactions between compon...
Social networks analysis can be used to study the society's structure, its development and the peopl...
U ovom radu obrađeni su osnovni koncepti polinomijalnih algoritama otkrivanja zajednica u grafu, tj....
The goal of this thesis is to create an application which will be able to identify clusters in graph...
Social network analysis is a cross-disciplinary study of interest to mathematicians, physicists, com...
Graphs or networks are mathematical structures that consist of elements that can be pairwise linked ...
The incredible rising of on-line social networks gives a new and very strong interest to the set of ...
International audienceThe community detection problem is very natural : given a set of people and th...
The rise of the Internet has brought people closer. The number of interactions between people across...
International audienceReal world complex networks may contain hidden structures called communities o...
A characteristic feature of many relevant real life networks, like the WWW, Internet, transportation...
The study of complex networks has significantly advanced our understanding of community structures w...
In some Computer Vision applications there is the need for grouping, in one or more clusters, only a...
In some Computer Vision applications there is the need for grouping, in one or more clusters, only a...
Complex networks are a special type of graph that frequently appears in nature and in many different...
© Springer-Verlag Berlin Heidelberg 2016. Networks represent patterns of interactions between compon...
Social networks analysis can be used to study the society's structure, its development and the peopl...
U ovom radu obrađeni su osnovni koncepti polinomijalnih algoritama otkrivanja zajednica u grafu, tj....