Title :
Discovering Most Influential Social Networks Nodes Based on Floating Influence
Author :
Zeng Wei ; Li Chuan ; Feng Bingqing ; Yang Ning ; Luo Qian
Author_Institution :
State Key Lab. of Software Eng., Wuhan Univ., Chengdu, China
Abstract :
Social network influence maximization problem aims to design algorithms that can maximize the scope of the nodes affected by the specified nodes set. This paper studies and improves existing algorithms by the introduction of hidden influence and floating influence. Experiments show that the HGA algorithm works more effectively.
Keywords :
social networking (online); HGA algorithm; floating influence; influential social networks nodes; social network influence maximization problem; specified nodes set; Algorithm design and analysis; Data mining; Greedy algorithms; Heuristic algorithms; Integrated circuit modeling; Knowledge discovery; Social network services; Floating influence; Hidden influence; Social network;
Conference_Titel :
Cloud Computing and Big Data (CCBD), 2014 International Conference on
DOI :
10.1109/CCBD.2014.34
