Mendeley
TY  _  JOUR
ID  -  1401120841389
TI  -  A comprehensive survey on the influence maximization problem in social networks
JO  -  Journal of Information and Communication Technology
JA  -  ES
LA  -  fa
SN  -  2717-0411
AU  -  taherinia mohsen
AU  -  Esmaeili mahdi
AU  -  Minaei Behrooz
AD  -  دانشکده کامپیوتر، دانشگاه آزاد اسلامی واحد کاشان، کاشان، ایران
AD  -  دانشکده کامپیوتر، دانشگاه آزاد اسلامی واحد کاشان، کاشان، ایران
AD  -  
Y1  -  2023
PY  -  2023
VL  -  53
IS  -  
SP  -  267
EP  -  292
KW  -  influence maximization
KW  -   social media analysis
KW  -   influential people
KW  -   social networks
KW  -   community detection
KW  -   diffusion models
DO  -  
N2  -  With the incredible development of social networks, many marketers have exploited the opportunities, and attempt to find influential people within online social networks to influence other people. This problem is known as the Influence Maximization Problem. Efficiency and effectiveness are two important criteria in the production and analysis of influence maximization algorithms. Some of researchers improved these two issues by exploiting the communities’ structure as a very useful feature of social networks. This paper aims to provide a comprehensive review of the state of the art algorithms of the influence maximization problem with special emphasis on the community detection-based approaches
UR  - rimag.ir/en/Article/41389
L1  - rimag.ir/en/Article/Download/41389
ER  -  
