Name
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 social 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.
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Year | DOI | Venue |
|---|---|---|
2016 | 10.1145/2872518.2890552 | WWW '16: 25th International World Wide Web Conference
Montréal
Québec
Canada
April, 2016 |
DocType | Volume | ISBN |
Conference | abs/1602.02426 | 978-1-4503-4144-8 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Martin Saveski | 1 | 0 | 0.68 |
| Eric Chu | 2 | 88 | 8.72 |
| Soroush Vosoughi | 3 | 39 | 4.34 |
| Deb Roy | 4 | 1033 | 92.10 |