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Point of View Based Clustering ofSocio-Semantic NetworksInfluencing the communities dectection process in socio–semantic networks using points of view
Authors
Juan David CRUZ GOMEZCécile BOTHORELFrançois POULET
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SemanticClustering
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Point of View
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Social Graph
The point of viewis a set of binary vectors representinga subset of featuresfrom the socio-semantic network and assigned to each actorin it.
The social graph is therepresentation of therelationships betweenthe actors in the socio-semantic network.
Model Inputs Phase 1: semantic clustering
Phase 2: communities detection
The weights are changed according the semantic distance
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The final communitites are structurally and semantically similar
Using Self-Organizing Maps [1] the nodes are clustered from a semantic perspective Each node belongs to one semantic group
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The nodes semantically clustered according to the point of viewEach node in the network is assigned to one semantic group
The weights of the edges of the network are changed according to the semantic groups
The communities are found using the Fast Unfolding algorithm [2] on the social graph augmented withsemantic weights
Algorithm General Steps
References
[1] T. Kohonen, Self-Organizing Maps. Springer,1997.[2] V. D. Blondel, J.-L. Guillaume, R. Lambiotte, andE. Lefebvre, “Fast unfolding of communities in largenetworks,” Journal of Statistical Mechanics: Theoryand Experiment, vol. 2008, no. 10, p. P10008, 2008
Socio–semantic networks: enhancing the structurewith semantics
Inf ormat ion about the actorNameTypeDate of inclusion into the network
Social Graph InformationNode degree, node centrality, node betwenness, prestigeWalks and paths, relationships strenght, types of relationshipDensity of the graph, geodesics, distance and diameter, connectivity of the graph
This is the structural information the network
Semantic InformationRole of the actors, actor's name/filliation, actor's positionType of relationship, relationship statistics (date, evolution)Evolution of the network, contexts of the network updates, other features of the network
Points of view are created from these features
Socio-Semantic Network
By using the structural information and the semantical information in a conjointway it is possible to extract non–evident information and use it to analyze thenetwork from different perspectives.
Points of ViewGiven a graph G (V,E), let FV bethe set of semantic features of theactors of the network, and letF ∗V ∈ P (FV ) \FV , be a non–emptyset of features to be used todefine the point of view PoV .A point of view is defined as theset of all instances derived fromthe set FV :
PoVF ∗V =|V |⋃i=1ξi
where ξi is the binary vector(instance) assigned to the node i.
ConclusionAssigning weights derived from the results of the semantic clustering to the edges, the semanticinformation is included into the community detection process and the two types of data aremerged to find and visualize a social network from a selected point of view.
Contact : [email protected], http://www.telecom-bretagne.eu/
