Paper Info
Title
Towards Semantic-Based Social Network Analysis.
Abstract
We propose a semantic-based methodology for Social Network Analysis (SNA). This methodology addresses computations needed for SNA in a declarative way -in contrast to traditional SNA where computations are procedural. Our ingredients are semantic technologies: We define an ontology to represent graphs, their components (nodes, edges or paths), and the structural relationships between these components. We exploit reasoning capabilities of ontologies to infer structural relations between graph components. We also use ontological queries to perform computations needed in SNA. To demonstrate how does this approach work, we present three showcases of typical network analysis: basic metrics, triadic census, and betweenness centrality. The proposed approaches offer several computational opportunities for analyzing networks with respect to calculation of path-dependent centrality metrics, e.g. in distributed setups.
Year
DOI
Venue
2018
10.1109/SITIS.2018.00091
SITIS
Keywords
Field
DocType
Ontologies,Social networking (online),Measurement,Semantic technology,Graph theory,Standards
Graph theory,Ontology (information science),Ontology,Semantic technology,Pattern recognition,Computer science,Social network analysis,Centrality,Theoretical computer science,Betweenness centrality,Artificial intelligence,Network analysis
Conference
ISBN
Citations 
PageRank 
978-1-5386-9385-8
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Raji Ghawi1193.64
Mirco Schönfeld201.01
Jürgen Pfeffer334626.57