Community detection in large networks through the methods based on the statistical inference model can identify the node community as well as find the interaction between the communities. Statistical inference based methods try to fit a generative model to the network data. This paper discusses the statistical inference methods which groups the communities on vertices or nodes
Networks are abstract representations of relationships between a set of entities. As such they can b...
Community detection is an exploratory method of grouping strongly connected nodes in a network, in m...
Doctor of PhilosophyDepartment of StatisticsMichael HigginsIn many sciences---for example Sociology,...
Community detection in large networks through the methods based on the statistical inference model c...
Recent advances in computing and measurement technologies have led to an explosion in the amount of ...
Recent advances in computing and measurement technologies have led to an explosion in the amount of ...
The existence of community structures in networks is not unusual, including in the domains of sociol...
This dissertation has its main focus on the development of social network community detection algori...
Real world complex networks may contain hidden structures called communities or groups. They are com...
This dissertation is divided into two parts, concerning two areas of statistical methodology. The fi...
The existence of community structures in networks is not unusual, including in the domains of sociol...
This dissertation has its main focus on the development of social network community detection algori...
Many methods have been proposed for community detection in networks. Some of the most promising are ...
A network consists of a set of vertices and a set of edges between these vertices. The vertices repr...
Networks are abstract representations of relationships between a set of entities. As such they can b...
Networks are abstract representations of relationships between a set of entities. As such they can b...
Community detection is an exploratory method of grouping strongly connected nodes in a network, in m...
Doctor of PhilosophyDepartment of StatisticsMichael HigginsIn many sciences---for example Sociology,...
Community detection in large networks through the methods based on the statistical inference model c...
Recent advances in computing and measurement technologies have led to an explosion in the amount of ...
Recent advances in computing and measurement technologies have led to an explosion in the amount of ...
The existence of community structures in networks is not unusual, including in the domains of sociol...
This dissertation has its main focus on the development of social network community detection algori...
Real world complex networks may contain hidden structures called communities or groups. They are com...
This dissertation is divided into two parts, concerning two areas of statistical methodology. The fi...
The existence of community structures in networks is not unusual, including in the domains of sociol...
This dissertation has its main focus on the development of social network community detection algori...
Many methods have been proposed for community detection in networks. Some of the most promising are ...
A network consists of a set of vertices and a set of edges between these vertices. The vertices repr...
Networks are abstract representations of relationships between a set of entities. As such they can b...
Networks are abstract representations of relationships between a set of entities. As such they can b...
Community detection is an exploratory method of grouping strongly connected nodes in a network, in m...
Doctor of PhilosophyDepartment of StatisticsMichael HigginsIn many sciences---for example Sociology,...
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