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SNAI.1: DATA

SNAI.1: DATA. Cyberinfrastructure for Social Network Analysis David Knoke, Gavin La Rowe, Matt Arrot, Cristina Beldica, Danyel Fisher, Kirby Vandivort, Hank Green. Data Collection. Longitudinal: 24/7/365 across all behavior traits

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SNAI.1: DATA

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  1. SNAI.1: DATA Cyberinfrastructure for Social Network Analysis David Knoke, Gavin La Rowe, Matt Arrot, Cristina Beldica, Danyel Fisher, Kirby Vandivort, Hank Green

  2. Data Collection • Longitudinal: 24/7/365 across all behavior traits • Continuous (tagging by cell phones or other electronics): measure proximity and maybe behavior in some public spaces • Emergence of new content, new relationships: emerging or evolving structure and flows.

  3. Scale of Social Network Data • Scale up SN software to handle larger data sets • How do we mine large sets of data across broad categories of content, and how do they relate (how are actors interconnected?). • Can this be automated with high reliability? • Integrating different levels of data sets and integrating social with nonsocial data: combining geophysical and biosystem data with social interactions • Richer data may lead to revival of human ecology as a viable field?

  4. Issues for Data Analysts • Storage and Computation time for large data sets Nn • Modular approaches for data access and computation • Storage issues • Independent users accessing same data sets

  5. Ethics/Privacy • Capable of merging sets of data from multiple sources (credit, information seeking, public behavior, clothes-penetrating radar) to track and identify individuals • Public behaviors can be observed without consent • Potential for image recognition in public places • Does this lead to Big Brother? • DARPA tried to do this already.

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