Interactive graph query language for multidimensional data in Collaboration Spotting visual analytics framework

Hypergraph Modeling and Visualisation of Complex Co-occurence Networks

“…A hypergraph where the hyperedges are distinct one-to-one is said with no repeated hyperedge. In [7], a hypergraph is a triple H = (V, E, i) with V a vertex set, E a hyperedge set and i : E → P (V ) 4 an incidence function. Considering a map w : E → R ++ the hypergraph H w = (V, E, w) -or H w = (V, E, i, w) -is said weighted.…”

“…Previous approaches using a reference to articulate the different facets of an information space exist [1,2,3]. [4] proposes a graph-based framework which provides insights into the different facets of an information space based on user-selected perspectives, combining type of reference and of co-occurences. [5] shows how the keeping of m-adic relationships can help in gaining understanding in the network evolution.…”

A web service based on RESTful API and JSON Schema/JSON Meta Schema to construct knowledge graphs

“…To these, one must add requirements that are specific to the interactive visualization and navigation aspects of the CS platform: 7) Use of a graph database (which is a natural choice in support of visual analytics on graphs) such as Neo4j [8] for storing a) users' data as knowledge graphs i.e. a 4-element tuples (G = (V, E, L, α)) where both vertices and edges are labelled and b) the knowledge graph's schema called as reachability graph (please, see [9] for further details). 8) Use of Django [10] as a web framework implemented in Python.…”