Research on Social Network Inference Method Based on Observation Data

Authors

Hailiang Chen, 1. College of Systems Engineering, National University of Defense Technology, Changsha 410073, China; ;
Bin Chen, 1. College of Systems Engineering, National University of Defense Technology, Changsha 410073, China; ;
Yuan Peng, 2. Navy Factory 902, Shanghai 200083, China;
Dong Jian, 1. College of Systems Engineering, National University of Defense Technology, Changsha 410073, China; ;
Chuan Ai, 1. College of Systems Engineering, National University of Defense Technology, Changsha 410073, China; ;

Abstract

Abstract: Internet technology and online social networks have developed rapidly, which enables people to randomly express their opinions, ideas, emotional exchanges and economic exchanges. Inferring social networks is made possible through the observation data exchanged by people on the Internet. Through the analysis of ConNIe (Convex Network Inference) algorithm, this paper researches the effects of sparse parameter, propagation time distribution model and its parameters on the inference results of the algorithm. According to the analysis, a social network inference framework based on ConNIe algorithm is proposed. Combining the perceptron and particle swarm optimization algorithm, the ConNIe algorithm inference becomes a complete system. The research in this paper has a widely practical value in the fields of social public opinion control and marketing.

Recommended Citation

Chen, Hailiang; Chen, Bin; Peng, Yuan; Jian, Dong; and Ai, Chuan (2019) "Research on Social Network Inference Method Based on Observation Data," Journal of System Simulation: Vol. 31: Iss. 12, Article 19.
DOI: 10.16182/j.issn1004731x.joss.19-FZ0325
Available at: https://dc-china-simulation.researchcommons.org/journal/vol31/iss12/19

First Page

2712

Revised Date

2019-07-15

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.19-FZ0325

Last Page

2720

CLC

TP391.9

Recommended Citation

Chen Hailiang, Chen Bin, Yuan Peng, Dong Jian, Ai Chuan. Research on Social Network Inference Method Based on Observation Data[J]. Journal of System Simulation, 2019, 31(12): 2712-2720.

DOI

10.16182/j.issn1004731x.joss.19-FZ0325