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Explore the dynamic and hierarchical perspective on massive relational data with DYNET. Equipped with state-of-the-art graph algorithms, analysts can gain insight into network dynamics using interactive tools. Manage hierarchical data structures effectively in a flexible platform for relational analysis. Boost your relational analysis with Microsoft SQL Server 2005. Learn about DYNET's client-server architecture, data source integration, and advanced authentication solutions through a patent analysis case study focusing on vaccine-related patents granted to Chiron and more.
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DYNET - A dynamic, hierarchical perspective on massive relational data DYNET is equipped with state-of-the-art graph algorithms allowing analysts to gain insight into network dynamics by means of interactive tools to represent graph evolution Dedicated solutions allow analysts to effectively manage hierarchical data structures in the context of a flexible platform for relational analysis DYNET: Dynamic network visualization – Boosting relational analysis with Microsoft SQL Server 2005, October 2005
DyNet Enterprise Edition Key advantages: • Client-server architecture • Data source integration • Advanced authentication solutions
Case study: Patent Analysis (I) Query plans DYNET perspectives Querying DyNet’s patent database for vaccine-related patents granted to Chiron ~600 records
Case Study: Patent Analysis (II) Available databases Direct access to resulting database
Case Study: Patent Analysis (III) User-specifiable network generation parameters
Case Study: Patent Analysis (IV) Graph visualization window Filtering tools for graph reduction Interactive access to micro-level patent information
construction of recombinant virus research on HCV (Hepatitis C Virus) Use Case: Patent Analysis