The choice of appropriate algorithm(s) to the large graphs like social networks is always a challenge to the researchers for different applications. In this work, we propose a model to compare algorithms for large graphs such as social networks using ontology. Using ontology, the features and the dimensions of the social networks are summarized properly and through experiments it is shown how to choose any algorithm for a given objectives
A key issue in social network analysis is related to the comparison between several observed network...
The Semantic Web enables people and computers to interact and exchange information. Based on Semanti...
Today’s social and internet networks contain millions or even billions of nodes, and copious amounts...
Abstract: Ontology is a term that appears in contexts as diverse as computer science, linguistics an...
AbstractDuring the past several years, social network analysis methods have been used to model many ...
A key argument for modeling knowledge in ontologies is the easy re-use and re-engineering of the kno...
david2012cInternational audienceSemantic social networks are social networks using ontologies for ch...
The problem faced in this paper is related to the comparison between two undirected networks on n ac...
Mehler A. A Quantitative Graph Model of Social Ontologies by Example of Wikipedia. In: Dehmer M, Emm...
Graphs are universal modeling tools. They are used both to represent objects and to formalize proble...
International audienceWhen analyzing social networks, graph data structures are often used. Such gra...
This thesis investigates both how computational perspectives can improve our understanding of social...
Nowadays there are many social media sites with a very large number of users. Users of social media ...
rom biochemical applications to social networks, graphs represent data. Comparing graphs or searchin...
A common goal in the network analysis community is the modeling of social network graphs, which tend...
A key issue in social network analysis is related to the comparison between several observed network...
The Semantic Web enables people and computers to interact and exchange information. Based on Semanti...
Today’s social and internet networks contain millions or even billions of nodes, and copious amounts...
Abstract: Ontology is a term that appears in contexts as diverse as computer science, linguistics an...
AbstractDuring the past several years, social network analysis methods have been used to model many ...
A key argument for modeling knowledge in ontologies is the easy re-use and re-engineering of the kno...
david2012cInternational audienceSemantic social networks are social networks using ontologies for ch...
The problem faced in this paper is related to the comparison between two undirected networks on n ac...
Mehler A. A Quantitative Graph Model of Social Ontologies by Example of Wikipedia. In: Dehmer M, Emm...
Graphs are universal modeling tools. They are used both to represent objects and to formalize proble...
International audienceWhen analyzing social networks, graph data structures are often used. Such gra...
This thesis investigates both how computational perspectives can improve our understanding of social...
Nowadays there are many social media sites with a very large number of users. Users of social media ...
rom biochemical applications to social networks, graphs represent data. Comparing graphs or searchin...
A common goal in the network analysis community is the modeling of social network graphs, which tend...
A key issue in social network analysis is related to the comparison between several observed network...
The Semantic Web enables people and computers to interact and exchange information. Based on Semanti...
Today’s social and internet networks contain millions or even billions of nodes, and copious amounts...