Measuring the influence and amplification of users on social network with unsupervised behaviors learning and efficient interaction-based knowledge graph

This study introduces a metric to measure the influence of users and communities on Social Media Networks. The proposed method is a combination of Knowledge Graph and Deep Learning approaches. Particularly, an effective Knowledge Graph is built to represent the interaction activities of users. Besid...

Full description

Saved in:

Bibliographic Details
Published in:	Journal of combinatorial optimization Vol. 44; no. 4; pp. 2919 - 2945
Main Authors:	Tran, Quan M., Nguyen, Hien D., Huynh, Tai, Nguyen, Kha V., Hoang, Suong N., Pham, Vuong T.
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.11.2022 Springer Nature B.V
Subjects:	Combinatorics Convex and Discrete Geometry Deep learning Knowledge representation Mathematical Modeling and Industrial Mathematics Mathematics Mathematics and Statistics Operations Research/Decision Theory Optimization Social networks Theory of Computation Variational auto-encoder Deep learning Graph convolutional network Social network analysis Node embedding Information propagation Unsupervised learning Influencer marketing Knowledge graph
ISSN:	1382-6905, 1573-2886
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!