Tom Sawyer Analysis

Overview

Tom Sawyer Analysis is a Software Development Kit (SDK) for developing applications that model relationships between data elements and data attributes as graphs to solve advanced analytical problems.

Developers use Tom Sawyer Analysis to build new analysis applications or add graph-based modeling and analytics capabilities to existing applications. Tom Sawyer Analysis can be used to build graph models of relational data in order to explore key relationships. Facilities are available for graph traversals, cycle detection, clustering and partitioning, network flow algorithms, dependency, root cause and impact analysis, path finding, and centrality measures.

Betweeness Centrality
Clustering
Minimum Cut
Root Cause

Tom Sawyer Analysis Capabilities

Tom Sawyer Analysis Advantages

Editions

Tom Sawyer Analysis is available in C++, Java, ActiveX, and .NET editions. Select the edition that meets your needs to see additional detail.