Name
Abstract | ||
|---|---|---|
Funding from the government agencies has been the driving force for the research and educational institutions particularly in the United States. The government funds billions of dollars every year to lead research initiatives that will shape the future. In this paper, we analyze the funds distributed by the National Science Foundation (NSF), a major source of research funding in the States, to understand the collaboration patterns among researchers and institutions. Using complex network analysis, we interpret the collaboration patterns at researcher, institution and state levels by constructing the corresponding networks based on the number of grants collaborated. We further analyze the directorates to identify the differences in collaboration trends between disciplines. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ASONAM.2012.109 | Advances in Social Networks Analysis and Mining |
Keywords | Field | DocType |
national science foundation,united states,collaboration trend,research funding,collaboration pattern,us researchers,corresponding network,research initiative,government funds billion,complex network analysis,government agency,complex network,six degrees of separation,public finance,government policies,complex networks | Six degrees of separation,Computer science,Public relations,Peer to peer computing,Public policy,Complex network,Artificial intelligence,Public finance,Complex network analysis,Machine learning,Government | Conference |
ISBN | Citations | PageRank |
978-1-4673-2497-7 | 4 | 0.43 |
References | Authors | |
2 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hakan Kardes | 1 | 24 | 3.52 |
| Abdullah Sevincer | 2 | 39 | 4.15 |
| Mehmet Hadi Günes | 3 | 149 | 16.19 |
| Murat Yuksel | 4 | 445 | 61.52 |