pith. sign in

arxiv: 1602.02426 · v2 · pith:ZHYWSMGHnew · submitted 2016-02-07 · 💻 cs.SI · physics.soc-ph

Human Atlas: A Tool for Mapping Social Networks

classification 💻 cs.SI physics.soc-ph
keywords connectionssocialnetworkstoolcommunitymappingatlashuman
0
0 comments X
read the original 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.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.