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You can use the Event Graph widget to generate an automated link analysis chart of associations (events & facts).  This is Useful is useful for visualizations of subsets of social networks, or for viewing topical/thematic relationships between content publishers.

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• Event: link multiple entities (via "entity1_index", "entity2_index", "geo_index") and represent a transient activity (i.e. travel)

• Fact: link multiple entities like "Events" but represent (transient or permanent) relationships (i.e. being president)

• Summary: generally link one entity to a free text (i.e. a quotation: "Obama says...").

 Edge Density

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Each object in a graph is called a node (orvertex). Corresponding to the connections (or lack thereof) in a network are edges (or links) in a graph. Each edge in a graph joins two distinct nodes.

More formally, we define a graph G as an ordered pair G = (V,E) where 

• V is a set of nodes (vertices).
• E is a set of edges (links).
• Each edge is a pair of vertices. In other words, each element of E is a pair of elements of V.

Using the Infinit.e Event Graph, it is possible to change edge density, corresponding to the amount of related "events" or "facts" that are depicted on the graph.  Using a slider you can increase or decrease the amount of events/facts, thereby changing the edge density.  This procedure is documented below.

About Associations

An association is an activity or relationship between entities. It can be thought of as "subject / verb / object / at location / over time", where the subjects and objects can be free text and/or point to entities within the document.  This type of subject/verb/object association is considered to be a "hard" association.  Soft associations, on the other hand, are comprised of entities that are linked via co-reference.  For example, entities that share similar documents can be said to be linked together by co-reference.

Using the Widget

Filtering the graph to only show one entity

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