HarVis: An integrated social media content analysis framework for YouTube platform

作者：

Highlights：

•

• An integrated content acquisition, management, processing and visualization framework for YouTube.

• A query Evolution based recursive Algorithm that improves YouTube data acquisition performance for a given topic.

• Data processing algorithms for discovery of social connections and vocabulary network.

• Visualization of social, spatio-temporal, linguistic, popularity and growth aspects of content.

• Demonstration of features using real data of a famous YouTube topic, the “Gangnam Style”.

摘要

Highlights •An integrated content acquisition, management, processing and visualization framework for YouTube.•A query Evolution based recursive Algorithm that improves YouTube data acquisition performance for a given topic.•Data processing algorithms for discovery of social connections and vocabulary network.•Visualization of social, spatio-temporal, linguistic, popularity and growth aspects of content.•Demonstration of features using real data of a famous YouTube topic, the “Gangnam Style”.

论文关键词：User generated content,Data retrieval,Information visualization,Topic and discourse analysis,Social media analytics

论文评审过程：Received 27 October 2014, Revised 10 July 2016, Accepted 18 October 2016, Available online 21 October 2016, Version of Record 28 April 2017.

论文官网地址：https://doi.org/10.1016/j.is.2016.10.004