Visual analytics of the evolution of patent inventor networks

Problem: 

The analysis of patent data is important in various domains such as R&D planning, strategic management and investment, litigation or human resources management. Patent data can be modeled as a network with different kinds of nodes (patents, inventors, applicants, …) and different kinds of  edges (citation, co-authorship, …).  Here we focus on inventors and their co-authorship network. The temporal aspects of patent data allows for the exploration of the inventors' dynamic behavior and of their changing performance measures over time.

Aim: 

The candidate, according to the assigned scope (SE/PR/Bak/DA, see table below), has to perform the following activities: 

State-of-The-Art Report: write an annotated survey of existing methods and tools for the analysis of dynamic graphs/networks.

Basic features: prototypically implement existing visual analytics methods to be applied to inventor networks. 

Advanced features: develop new specific visual analytics method to interactively explore the dynamics of patent networks on different scales of temporal granularity.

Scientific summary: summarize the scientific contribution of the work, with reflections on the lesson learned and future advancement in this research field.  

  Seminar Project Bachelor Master
Writing State-of-The-Art Report  
Coding basic features  
Designing/coding adv. features      
Writing scientific summary    

 

Topics: 
Visual Analytics, (Time-oriented data, Graph Visualization, Dynamic Graph Analysis)
Other information: 

Visualization toolkits/librariesprefuse, ...

Graph analysis libraries: jung, stingergraph, ...

The work will be developed in collaboration with the Center for Cognition, Information and Management of the Danube University Krems. 

Previous knowledge: 
java, (preferably: prefuse, jung)
Scope: 
SE
Scope: 
BA
Scope: 
PR
Scope: 
MA
Contact: 
Paolo Federico, by appointment, federico [at] ifs.tuwien.ac.at
Area: 
Visual Analytics (VA)
Status: 
closed