Efficient Crowd Exploration of Large Networks

Author:

Berenberg Daniel1,Bagrow James P.1

Affiliation:

1. University of Vermont, Burlington, VT, USA

Funder

National Science Foundation

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Human-Computer Interaction,Social Sciences (miscellaneous)

Reference57 articles.

1. Lada A Adamic Rajan M Lukose Amit R Puniyani and Bernardo A Huberman. 2001. Search in power-law networks. Physical review E Vol. 64 4 (2001) 046135. Lada A Adamic Rajan M Lukose Amit R Puniyani and Bernardo A Huberman. 2001. Search in power-law networks. Physical review E Vol. 64 4 (2001) 046135.

2. Collaborative creativity

3. James P Bagrow. 2018. Crowd ideation of supervised learning problems. arXiv preprint arXiv:1802.05101 (2018). James P Bagrow. 2018. Crowd ideation of supervised learning problems. arXiv preprint arXiv:1802.05101 (2018).

4. Albert-László Barabási and Réka Albert. 1999. Emergence of scaling in random networks. science Vol. 286 5439 (1999) 509--512. Albert-László Barabási and Réka Albert. 1999. Emergence of scaling in random networks. science Vol. 286 5439 (1999) 509--512.

5. Soylent

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