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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

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

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.


Scale of social network data

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?


Issues for data analysts

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


Ethics privacy

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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