Human Atlas: A Tool for Mapping Social Networks
Name
p247-saveski.pdf
Size
2.05 MB
Format
Adobe PDF
Checksum (MD5)
c5402a1f582f5929f4de3badc620d14f
Author(s)
Saveski, Martin
Chu, Eric
Vosoughi, Soroush
Roy, Deb K
Date Issued
April 2016
Journal
Proceedings of the 25th International World Wide Wed Conference
Publisher
Association for Computing Machinery (ACM)
Citation
Saveski, Martin, Eric Chu, Soroush Vosoughi, and Deb Roy. "Human Atlas: A Tool for Mapping Social Networks." 25th International World Wide Wed Conference (April 2016).
Version
Author's final manuscript
Abstract
Most social network analyses focus on online social networks. While these networks encode important aspects of our lives they fail to capture many real-world connections. Most of these connections are, in fact, public and known to the members of the community. Mapping them is a task very suitable for crowdsourcing: it is easily broken down in many simple and independent subtasks. Due to the nature of social networks|presence of highly connected nodes and tightly knit groups|if we allow users to map their immediate connections and the connections between them, we will need few participants to map most connections within a community. To this end, we built the Human Atlas, a web-based tool for mapping social networks. To test it, we partially mapped the social network of the MIT Media Lab. We ran a user study and invited members of the community to use the tool. In 4.6 man-hours, 22 participants mapped 984 connections within the lab, demonstrating the potential of the tool.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/2872518.2890552
