1 / 14

The Structure of Scientific Collaboration Networks & Research Funding Networks

The Structure of Scientific Collaboration Networks & Research Funding Networks. CS790g Complex Networks Jigar Patel November 30 th 2009. Outline. Scientific Collaboration Networks Introduction Results Conclusions Research Funding Networks Project Idea

harriet
Download Presentation

The Structure of Scientific Collaboration Networks & Research Funding Networks

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. The Structure of Scientific Collaboration Networks&Research Funding Networks CS790g Complex Networks Jigar Patel November 30th 2009

  2. Outline • Scientific Collaboration Networks • Introduction • Results • Conclusions • Research Funding Networks • Project Idea • Data Collection Techniques & Problems • Noise in Data • Data Processing Issues • Data/Network Analysis? • Summary • Questions

  3. 1.Scientific Collaboration Networks 1. Introduction • What is the idea behind it? • Representation as a graph • Interest in studying Social Network • Stanley Milgram experiment • Problems with social network studies • Labor intensive and size of the network can be mapped is limited • Highly subjective • Movie actors network example • Scientific Collaboration Networks • Data sources (MEDLINE), SPIRES, NCSTRL • Data between 1995-1999

  4. 1.Scientific Collaboration Networks 2. Results • Number of Authors

  5. 1.Scientific Collaboration Networks 2. Results • Mean Papers per Author and Authors per Paper

  6. 1.Scientific Collaboration Networks 2. Results • Number of Collaborators

  7. 1.Scientific Collaboration Networks 2. Results • The Giant Component

  8. 1.Scientific Collaboration Networks 2. Results • Clustering

  9. 2. Research Funding Network 1. Project Idea Institute 1 Grant 1 Common Research Topic Grant 1 Institute 3 Grant 3 Grant 3 Grant 2 Grant 2 Institute 2

  10. 2. Research Funding Network 2. Data Collection Techniques & Problems • Custom Application • MySQL Database for local storage • Time consuming • Limitation on number of queries can be made to server • Proxy server issue • Data parsing issues • Unknown field size

  11. 2. Research Funding Network 3. Noise in Data • Duplicate organization names • Multiple entries for the same organization • Duplicate awards • Too many PIs without an award 4. Data Processing Issues • Large dataset • 470K+ PIs, 16K+ Organizations, 290K+ awards • Takes too many queries to generate network file. • Very large dataset for the visualization

  12. 2. Research Funding Network 5. Data/Network Analysis • Complex Network Theories • Very abstract properties of the network • Average path length, degree distribution, clustering coefficient, giant component size, betweenness, closeness, prestige etc.. • Statistical Theories • Gives other perspective on data • Average money, minimum, maximum, histogram, total amount distributed, median, percentages, timeline etc.. • Data analysis by program, organization or combination of one or many factors

  13. 3. Summary • Social Network Study • It is always interesting and helps understand human nature. • Reveals the relationship between researchers in different scientific community • +Research Funding Network • Shows money distribution • Statistical side of the data • Very interesting and has never been generated

  14. Questions?

More Related