A Pipeline for Multimedia Twitter Analysis through Graph Databases: Preliminary Results

Author:

Boselli Roberto1,Cesarini Mirko1,Mercorio Fabio1,Mezzanzanica Mario1,Vaccarino Alessandro2

Affiliation:

1. University of Milan-Bicocca, Italy

2. Aubay Italia SpA, Italy

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Social data provenance framework based on zero-information loss graph database;Social Network Analysis and Mining;2022-07-03

2. Latent Twitter Image Information for Social Analytics;Information;2021-01-21

3. Provenance Framework for Twitter Data using Zero-Information Loss Graph Database;8th ACM IKDD CODS and 26th COMAD;2020-12-27

4. Enriching social analytics with latent Twitter image information;2020 15th International Workshop on Semantic and Social Media Adaptation and Personalization (SMA;2020-10-29

5. GraphDBLP: a system for analysing networks of computer scientists through graph databases;Multimedia Tools and Applications;2018-01-16

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