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introduction to network science

introduction to network science. COSEE ocean meeting 15 october 2010. s. uzzo, vp, science & technology new york hall of science suzzo@nysci.org. network science. complex networks dynamics of networks—how they change over time connections may change entities may change

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introduction to network science

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  1. introduction to network science COSEE ocean meeting 15 october 2010 s. uzzo, vp, science & technology new york hall of science suzzo@nysci.org

  2. network science complex networks dynamics of networks—how they change over time connections may change entities may change many have something to do with living things or systems

  3. network (graph) = nodes (vertices) & links (edges) nodes = 1, 2, 3, 4, 5 links = 1←→2, 1←→3, 1←→5, 2←→3, 2←→4, 2←→5, 3←→4, 3←→5, 4←→5 (nodes may have states; links may have directions and weights) 1 3 2 4 5

  4. simple complex

  5. regular (fully-connected) random

  6. scale-free

  7. scale-free

  8. feed-forward loop regulator chain multicomponent loop single input modules network motifs autoregulation multi-input modules

  9. regular (fully connected) random

  10. a b

  11. network science disciplines bioinformatics/systems biology genomics/proteomics biophysics sociology information theory biomedicine

  12. an application for informal education the network of co-PIs for NSF ISE program search of co-PI data on NSF website export of 1292 records from NSF database

  13. co-PI network 1550 nodes (326 are unconnected isolates) 1460 edges

  14. co-PI network – largest component 185 nodes, 113 edges node color and size coding = total award amount top-50 nodes with highest total award amount are labeled

  15. how might NSF use this study? find ways to bring isolated nodes into better connectivity with highly connected nodes develop criterion to assess projects based on connectivity with poorly connected nodes empower poorly connected nodes to connect with highly connected nodes

  16. how might COSEE benefit from network science? develop large-scale database to determine connections based on needs graph results and analyze focus resources on such areas.

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