Title :
A coauthorship network and preliminary results of binary agreement model simulations
Author :
Dippel, Matthew ; Chjan Lim
Author_Institution :
Dept. of Comput. Sci., Rensselaer Polytech. Inst., Troy, NY, USA
fDate :
April 29 2013-May 1 2013
Abstract :
We describe the mining and analysis of a coauthorship network, obtained by mining data from the ACM Digital Library. In addition to providing various basic properties of the network, we also provide preliminary results of using this network to run binary agreement model simulations, and the potential for committed minorities in the network.
Keywords :
data analysis; data mining; digital libraries; social aspects of automation; ACM digital library; binary agreement model simulations; coauthorship network; data mining; Analytical models; Approximation algorithms; Approximation methods; Computational modeling; Data mining; Mathematical model; Simulation;
Conference_Titel :
Network Science Workshop (NSW), 2013 IEEE 2nd
Conference_Location :
West Point, NY
Print_ISBN :
978-1-4799-0436-5
DOI :
10.1109/NSW.2013.6609192
