MIT ESD 342 - Social Network Analysis of the Planetary Data System

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Social Network Analysis of the Planetary Data SystemPhase II PresentationKate MartinMark AvnetApril 25, 2006ESD.342 Advanced System ArchitecturePlanetary Data SystemOverview1. Bipartite Networks2. Basic Author 1-Mode Projection3. PDS Node 1-Mode Projection4. Instrument Host Author 1-Mode5. Conclusions and Next StepsPDS nodes 9 Datasets 1046Authors 439Instrument hosts 103Image courtesy of NASA.Bipartite Networks of the Planetary Data SystemBipartiteProjection onto AuthorsDatasetsAuthorsPDS NodesAuthorsInstrument HostAuthorsProjection onto PDS NodesProjection onto Instrument HostCourtesy of National Academy of Sciences, U.S.A. Used with permission. Source: Newman, M. E., D. J. Watts, and S. H. Strogatz."Random graph models of social networks." Proc Natl Acad Sci 99, (2002): 2566-72. (c) National Academy of Sciences, U.S.A.Author single mode networkNodes: Authors & Edges: Datasets nmmean degreemedian degreeaverage path length C r439 6484 15 6 2.8 0.74 0.964 to 16 6 0.5 0.3Rough lit reviewof scientific collaboration networksM.E.J. Newman (2001), “Scientific Collaboration Networks. I. Network Construction and Fundamental Results,” Phys.Rev.E, 64–– (2001) “Scientific Collaboration Networks. II. Shortest Paths, Weighted Networks, and Centrality,” Phys.Rev.E, 64Author single mode networkNodes: Authors & Edges: Datasets Degree Distribution00.020.040.060.080.10.120.140 10203040506070DegreeCumulative Degree Distribution0.00.00.11.01 10 100Degree-0.66R^2=0.97Partition of Author Network1.010.0100.01 10 100Number of Partitions-0.64R^2=0.83Author single mode network96 nodesC = 0.77clustering coefficient80% from Small Bodies NodeInstruments: 10% from NEAR, 10% from PUBLITNodes: Authors & Edges: Datasets Girvan, M. and M.E.J. Newman (2001), “Community Structure in Social and Biological Networks” arXiv:cond-mat/0112110v1GeosciencesSmall Bodies Node110 nodes37% from Atmospheres, 29% from Small Bodies Node, 32% from Rings -- Instruments: 33% from HSTAuthor single mode networkNodes: Authors & Edges: Datasets AtmospheresRingsAtmospheresSmall BodiesNodeC = 0.90clustering coefficientPDS Nodes Bipartite NetworkLinks Between Nodes and AuthorsPDS single mode networkNodes: PDS nodes & Edges: Authors (Point Betweenness)Geosciences (2)Planetary Atmospheres (10.5)Degree Correlation for two 1-mode networksPDS Authors-0.689 0.028(not shown)Planetary PlasmaInteractions (0)Engineering (0)Navigation Ancillary Information (0)N/A (0)Rings (0)Imaging (0)Small Bodies (18.5)PDS single mode networkNodes: PDS nodes & Edges: AuthorsCumulative (Weighted) Degree Distribution for PDS Nodes0.111 10 100DegreeDegree Distribution (Weighted) of PDS Nodes00.050.10.150.20.250.30.350 5 10 15 20 25DegreeAuthor single mode networkNodes: Authors & Edges: Instrument Hosts1 413 2 3 3 2 4 3 5 1 6 1 7 1 8 1 9 2 10 1 11 212 213 1 14 5 15 1 Component NodesAuthor single mode networkNodes: Authors & Edges: Instrument HostsCumulative (Weighted) Degree Distribution for Authors by Instrument Host0.0010.010.111 10 100 1000DegreeDegree Distribution of Authors By Instrument Node00.050.10.150.20.250 50 100 150Degree^(Weighted)Some Next StepsBipartite-Specific Data Analysis1. Scaling Factor Analysis2. Singular Value Decomposition1-Mode Data Analysis1. Degree Distributions2. Compare Related Degree Correlations3. Clustering Coefficients for all 1-Mode Networks4. More Detailed Analysis of Community Structure5. Hierarchies and CliquesPolitical ForcesUnderstand mapping of politics/funding to PDS network


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MIT ESD 342 - Social Network Analysis of the Planetary Data System

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