Similarity Metrics from Social Network Analysis for Content Recommender Systems

2016 ◽  
pp. 203-217 ◽  
Author(s):  
Guillermo Jimenez-Diaz ◽  
Pedro Pablo Gómez Martín ◽  
Marco Antonio Gómez Martín ◽  
Antonio A. Sánchez-Ruiz
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Recommender Systems ◽  
Similarity Metrics

Similarity metrics from social network analysis for content recommender systems

2017 ◽  
Vol 30 (3-4) ◽  
pp. 223-234 ◽  
Author(s):  
Guillermo Jimenez-Diaz ◽  
Pedro Pablo Gómez-Martín ◽  
Marco Antonio Gómez-Martín ◽  
Antonio A. Sánchez-Ruiz
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Recommender Systems ◽  
Similarity Metrics

Give Attention to Overlapping Network Detection in Networks for Multimedia

2019 ◽  
Vol 16 (8) ◽  
pp. 3173-3177
Author(s):  
Mercy Paul Selvan ◽  
Akansha Gupta ◽  
Anisha Mukherjee
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Recommender Systems ◽  
Small Groups ◽  
Network Nodes ◽  
Network Discovery ◽  
Multimedia Social Networks ◽  
Overlapping Community

Finding overlapping agencies from multimedia social networks is an thrilling and important trouble in records mining and recommender systems but, existing overlapping network discovery often generates overlapping community structures with superfluous small groups. Network detection in a multimedia and social network is a conducive difficulty in the network gadget and it helps to understand and learn the overall network shape in element. Those are essentially the dividing wall of network nodes into a few subgroups in which nodes within these subgroups are densely linked, but the connections are sparser in between the subgroups. Social network analysis is widely widespread domain which draws the attention of many information mining experts. Some wide variety of actual community common characteristics which it shares are facebook, Twitter show off the idea of network shape inside the community. Social network is represented as a community graph. Detecting the groups entails locating the densely linked nodes.

Ikenet: Social network analysis of e-mail traffic in the Eisenhower Leadership Development Program

2007 ◽  
Author(s):  
Ian McCulloh ◽  
Grace Garcia ◽  
Kelsey Tardieu ◽  
Jennifer MacGibbon ◽  
Heather Dye ◽  
...  
Keyword(s):  
Social Network ◽  
Leadership Development ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Development Program ◽  
Leadership Development Program ◽  
E Mail
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