The Evaluation of Influence in Society's Information Networks
- Ruiwei Feng
- Corresponding Author
- Ruiwei Feng
Available Online June 2017.
- https://doi.org/10.2991/ammee-17.2017.84How to use a DOI?
- Information Networks; Infectious disease model; Complex network; Topology; Control variable.
- In recent years, with the popularity and development of the Internet, information is spread more and more quickly. In this paper, based on a large amount of data, we first consider "Information transfer capability parameters of the information network" as an evaluation criterion to describe the information transfer capability of information network, and by virtue of the change rules to establish the prediction mechanism for this parameter. Then we introduce the expansion mode, which consider "the capability to accept information of the not disseminate nodes "as the evaluation criterion and describe the situations that public interest and opinion being changed through information networks. Ultimately, the model totally describe the conditions that the information spread among the information networks and nodes. Based on the model of infectious disease, the new model of this task is conducted. And then by the description of the information transfer capability of information network in different period, the model can predict the capability of transmitting information. It greatly simulate the topologies social network that exists today and describe the process of a complex network of information dissemination well.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Ruiwei Feng PY - 2017/06 DA - 2017/06 TI - The Evaluation of Influence in Society's Information Networks BT - Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017) PB - Atlantis Press SN - 2352-5401 UR - https://doi.org/10.2991/ammee-17.2017.84 DO - https://doi.org/10.2991/ammee-17.2017.84 ID - Feng2017/06 ER -