Enhanced Visualization

Empower analysts to visualize and dynamically query multiple complex datasets at a scale using coordinated analysis between map, graph, list and time sliders. Graph relationships can be used to quickly identify important regions of the network containing relevant information. Determine information flows and analyze different layers in the network.

Communities of interest and other emergent clustering patterns are represented in an intuitive visual fashion using familiar mapping paradigms for nonspatial logical graph data.

What are Logical Networks?

Logical networks are an abstract representation of a network. These networks are not dependent on geometry or location of the elements. Social networks, biological networks, and information networks are examples of logical networks. The structure consists of individuals called “nodes”, which are connected by one or more specific types of interdependence, such as friendship, family, common interest, relationships of beliefs, popularity or social status. There can be many kinds of connections between the nodes.

MapLarge's high-level graphing and analytical functions make it easy to explore networks, detect communities, find cohesive groups, visualize the results, and provide recommendations based on results.


Logical Network Graph Examples


  • Exploratory Data Analysis: intuition-oriented analysis by networks manipulations in real time.
  • Link Analysis: revealing the underlying structures of associations between objects, in particular in scale-free networks.
  • Social Network Analysis: easy creation of social data connectors to map community organizations and small-world networks.
  • Biological Network analysis: representing patterns of biological data.