Martin Saveski
Eric Chu
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.
- A.-L. Barabási and R. Albert. Emergence of scaling in random networks. Science, 1999.Google Scholar
- V. D. Blondel, J.-L. Guillaume, R. Lambiotte, and E. Lefebvre. Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment, 2008.Google Scholar
- G. Carullo, A. Castiglione, A. De Santis, and F. Palmieri. A triadic closure and homophily-based recommendation system for online social networks. World Wide Web Conference, 2015. Google ScholarDigital Library
- S. Fortunato. Community detection in graphs. Physics Reports, 2010.Google ScholarCross Ref
- C. Franzoni and H. Sauermann. Crowd science: The organization of scientific research in open collaborative projects. Research Policy, 2014.Google ScholarCross Ref
- D. J. Watts and S. H. Strogatz. Collective dynamics of 'small-world' networks. Nature, 1998.Google Scholar
Index Terms
- Human Atlas: A Tool for Mapping Social Networks
Recommendations
Understanding user behavior in a local social media platform by social network analysis
MindTrek '11: Proceedings of the 15th International Academic MindTrek Conference: Envisioning Future Media EnvironmentsCharacterizing user behavior by social network analysis in social media has been an active research domain for a long time. However, much previous research has focused on the large-scale global social media such as Facebook, Wikipedia and Twitter. ...
A two-step model for self-organized social network pre-construction
We propose a method to construct a social network automatically based on a self-organization maps and social network analysis.We compare the differences between pre-constructed and actual social networks.We identify key representatives and validate the ...
Inferring the Strength of Social Ties: A Community-Driven Approach
KDD '17: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data MiningOnline social networks are growing and becoming denser.The social connections of a given person may have very high variability: from close friends and relatives to acquaintances to people who hardly know. Inferring the strength of social ties is an ...
Comments