Hidden link prediction in stochastic social networks:

"This book examines the foremost techniques of hidden link predictions in stochastic social networks. It deals, principally, with methods and approaches that involve similarity index techniques, matrix factorization, reinforcement models, graph representations and community detections"--

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Bibliographic Details
Other Authors: Pandey, Babita (Editor), Khamparia, Aditya (Editor)
Format: Electronic eBook
Language:English
Published: Hershey, PA IGI Global [2019]
Subjects:
Links:https://doi.org/10.4018/978-1-5225-9096-5
https://doi.org/10.4018/978-1-5225-9096-5
https://doi.org/10.4018/978-1-5225-9096-5
https://doi.org/10.4018/978-1-5225-9096-5
https://doi.org/10.4018/978-1-5225-9096-5
https://doi.org/10.4018/978-1-5225-9096-5
https://doi.org/10.4018/978-1-5225-9096-5
Summary:"This book examines the foremost techniques of hidden link predictions in stochastic social networks. It deals, principally, with methods and approaches that involve similarity index techniques, matrix factorization, reinforcement models, graph representations and community detections"--
Physical Description:1 Online-Ressource
ISBN:9781522590972
DOI:10.4018/978-1-5225-9096-5