TY - GEN
T1 - Opinion Leaders Discovery in Social Networking Site Based on the Theory of Propagation Probability
AU - Cao, Hongpeng
AU - Wang, Jun
AU - Wang, Zhe
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/9/20
Y1 - 2018/9/20
N2 - I209 recent years, with the rapid development of social networks, more and more researchers have focused on the discovery of opinion leaders in the social network. The social network site (SNS) is a typical social network. Whereby identifying the opinion leaders in the community, enterprises can carry out more targeted marketing activities, and the government can also use opinion leaders to guide the trend of public opinion. However, due to the high complexity of social network and the randomness and contingency of behaviors of opinion leaders, it is a challenging job to find opinion leaders in the network. Based on the perspective of communication, this paper constructs a social network based on the probability of communication, and builds a PCA-SNA recognition model of opinion leaders combined with social network analysis. Empirical studies show that the model is valid on opinion leader discovery in SNS, and promisingly to be generalized and popularized.
AB - I209 recent years, with the rapid development of social networks, more and more researchers have focused on the discovery of opinion leaders in the social network. The social network site (SNS) is a typical social network. Whereby identifying the opinion leaders in the community, enterprises can carry out more targeted marketing activities, and the government can also use opinion leaders to guide the trend of public opinion. However, due to the high complexity of social network and the randomness and contingency of behaviors of opinion leaders, it is a challenging job to find opinion leaders in the network. Based on the perspective of communication, this paper constructs a social network based on the probability of communication, and builds a PCA-SNA recognition model of opinion leaders combined with social network analysis. Empirical studies show that the model is valid on opinion leader discovery in SNS, and promisingly to be generalized and popularized.
KW - opinion leaders
KW - social network analysis
KW - social networking site
KW - the theory of propagation probability
UR - https://www.scopus.com/pages/publications/85055701704
U2 - 10.1109/IMCEC.2018.8469273
DO - 10.1109/IMCEC.2018.8469273
M3 - 会议稿件
AN - SCOPUS:85055701704
T3 - Proceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018
SP - 700
EP - 704
BT - Proceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018
A2 - Xu, Bing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018
Y2 - 25 May 2018 through 27 May 2018
ER -