Influential Nodes in a One-Wave Diffusion Model for Location-Based Social Networks

2013 ◽  
pp. 61-72 ◽  
Author(s):  
Hao-Hsiang Wu ◽  
Mi-Yen Yeh
Keyword(s):  
Social Networks ◽  
Diffusion Model ◽  
Influential Nodes ◽  
Wave Diffusion ◽  
Location Based Social Networks

scholarly journals Exploring Trusted Relations among Virtual Interactions in Social Networks for Detecting Influence Diffusion

2019 ◽  
Vol 8 (9) ◽  
pp. 415
Author(s):  
Heba M. Wagih ◽  
Hoda M. O. Mokhtar ◽  
Samy S. Ghoniemy
Keyword(s):  
Social Networks ◽  
Peer Influence ◽  
Online Social Networks ◽  
Large Scale ◽  
Social Ties ◽  
Mutual Trust ◽  
Friend Recommendation ◽  
Influential Nodes ◽  
Location Based Social Networks ◽  
Virtual Interactions

Recently, social networks have shown huge potential in terms of collaborative web services and the study of peer influence as a result of the massive amount of data, datasets, and interrelations generated. These interrelations cannot guarantee the success of online social networks without ensuring the existence of trust between nodes. Detecting influential nodes improves collaborative filtering (CF) recommendations in which nodes with the highest influential capability are most likely to be the source of recommendations. Although CF-based recommendation systems are the most widely used approach for implementing recommender systems, this approach ignores the mutual trust between users. In this paper, a trust-based algorithm (TBA) is introduced to detect influential spreaders in social networks efficiently. In particular, the proposed TBA estimates the influence that each node has on the other connected nodes as well as on the whole network. Next, a Friend-of-Friend recommendation (FoF-SocialI) algorithm is addressed to detect the influence of social ties in the recommendation process. Finally, experimental results, performed on three large scale location-based social networks, namely, Brightkite, Gowalla, and Weeplaces, to test the efficiency of the proposed algorithm, are presented. The conducted experiments show a remarkable enhancement in predicting and recommending locations in various social networks.

scholarly journals Extracting Influential Nodes for Maximization Influence in Social Networks

2021 ◽  
Vol 1818 (1) ◽  
pp. 012177
Author(s):  
Zainab Naseem Attuah ◽  
Firas Sabar Miften ◽  
Evan Abdulkareem Huzan
Keyword(s):  
Social Networks ◽  
Influential Nodes

NodeRank: Finding influential nodes in social networks based on interests

2021 ◽  
Author(s):  
Mohammed Bahutair ◽  
Zaher Al Aghbari ◽  
Ibrahim Kamel
Keyword(s):  
Social Networks ◽  
Influential Nodes

Tracking Group Movement in Location Based Social Networks

2020 ◽  
Author(s):  
Sameera Kannangara ◽  
Hairuo Xie ◽  
Egemen Tanin ◽  
Aaron Harwood ◽  
Shanika Karunasekera
Keyword(s):  
Social Networks ◽  
Group Movement ◽  
Location Based Social Networks
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