研究著作內容
A Social Diffusion Model with an Application on Election Simulation
(NOTE: Sheng-Wei Chen is also known as Kuan-Ta Chen.)

Abstract
Issues about opinion diffusion have been studied for decades. It has so far no empirical approach to model the interflow and formation of crowd's opinion in elections due to two reasons. First, unlike the spread of information or flu, individuals have their intrinsic attitudes to election candidates in advance. Second, opinions are generally simply assumed as single values in most diffusion models. However, in this case, an opinion should represent preference toward multiple candidates. Previously done models thus may not intuitively interpret such scenario. This work is to design a diffusion model which is capable of managing the aforementioned scenario. To demonstrate the usefulness of our model, we simulate the diffusion on the network built based on a publicly available bibliography dataset. We compare the proposed model with other well-known models such as independent cascade. It turns out that our model consistently outperforms other models. We additionally investigate electoral issues with our model simulator.

Materials
Citation
Jing-Kai Lou, Fu-Min Wang, Chin-Hua Tsai, San-Chuan Hung, Perng-Hwa Kung, Shou-De Lin, Kuan-Ta Chen, and Chin-Laung Lei, "A Social Diffusion Model with an Application on Election Simulation," The Scientific World Journal (special issue on Recent Advances in Complex Networks Theories with Applications), No. 180590, 2014.

BibTex
@ARTICLE{lou14:social_diffusion,
  AUTHOR     = {Jing-Kai Lou and Fu-Min Wang and Chin-Hua Tsai and San-Chuan Hung and Perng-Hwa Kung and Shou-De Lin and Kuan-Ta Chen and Chin-Laung Lei},
  TITLE      = {A Social Diffusion Model with an Application on Election Simulation},
  JOURNAL    = {The Scientific World Journal (special issue on Recent Advances in Complex Networks Theories with Applications)},
  NO         = {180590},
  YEAR       = {2014},
  DOI        = {10.1155/2014/180590}
}