Methods for Information Diffusion Analysis
- 作者: Avetisyan A.A.1,2, Drobyshevskiy M.D.1,3, Turdakov D.Y.1,2,4, Ghukasyan T.5
-
隶属关系:
- Ivannikov Institute for System Programming, Russian Academy of Sciences
- Moscow State University
- Moscow Institute of Physics and Technology
- National Research University Higher School of Economics
- Russian-Armenian University
- 期: 卷 45, 编号 7 (2019)
- 页面: 372-380
- 栏目: Article
- URL: https://journals.rcsi.science/0361-7688/article/view/176933
- DOI: https://doi.org/10.1134/S036176881907003X
- ID: 176933
如何引用文章
详细
Information diffusion is a fundamental process taking place on the Internet. Every day, various pieces of information are published and further disseminated through news articles and user messages. Even though this process can be explicitly observed, it is difficult to determine individual information pathways. The penetration of the global information environment into all spheres of everyday life radically changes the rate and ways of information diffusion. In this review, we discuss models of online information flows while dividing them into two groups: explanatory models (which imply the existence of an underlying network over which information propagates) and predictive models (which are used to investigate the spread of individual information flows). Despite the complexity of analyzing basic characteristics of information diffusion, this analysis is necessary to understand general processes that occur in the information society.
作者简介
A. Avetisyan
Ivannikov Institute for System Programming, Russian Academy of Sciences; Moscow State University
编辑信件的主要联系方式.
Email: a.a.avetisyan@ispras.ru
俄罗斯联邦, ul. Solzhenitsyna 25, Moscow, 109004; Moscow, 119991
M. Drobyshevskiy
Ivannikov Institute for System Programming, Russian Academy of Sciences; Moscow Institute of Physics and Technology
编辑信件的主要联系方式.
Email: drobyshevsky@ispras.ru
俄罗斯联邦, ul. Solzhenitsyna 25, Moscow, 109004; Institutskii per. 9, Dolgoprudnyi, Moscow oblast, 141701
D. Turdakov
Ivannikov Institute for System Programming, Russian Academy of Sciences; Moscow State University; National Research University Higher School of Economics
编辑信件的主要联系方式.
Email: turdakov@ispras.ru
俄罗斯联邦, ul. Solzhenitsyna 25, Moscow, 109004; Moscow, 119991; ul. Myasnitskaya 20, Moscow, 101000
Tsolak Ghukasyan
Russian-Armenian University
编辑信件的主要联系方式.
Email: tsggukasyan@ispras.ru
亚美尼亚, ul. Ovsepa Emina 123, Yerevan, 0051
补充文件
