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Exploring “User,” “Video,” and (Pseudo) Multi-Mode Networks on YouTube with NodeXL

Exploring “User,” “Video,” and (Pseudo) Multi-Mode Networks on YouTube with NodeXL
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Author(s): Shalin Hai-Jew (Hutchinson Community College, USA)
Copyright: 2017
Pages: 54
Source title: Social Media Data Extraction and Content Analysis
Source Author(s)/Editor(s): Shalin Hai-Jew (Hutchinson Community College, USA)
DOI: 10.4018/978-1-5225-0648-5.ch009

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Abstract

Network Overview, Discovery and Exploration for Excel (NodeXL Basic) enables the extraction of “user” (entity), “video” (content), and pseudo multi-modal networks from YouTube. This open-source add-on to NodeXL captures a wide range of data, enables data processing for analysis, and then visualization in a variety of graphs (based on different layout algorithms). This chapter summarizes some of the “askable” questions using this approach. Various types of data extractions are shared to give a sense of the breadth of some approaches, including the following: (1) entities, (2) in-world phenomena, (3) imaginary phenomena, (4) themes, (5) reputations by name, (6) genres, (7) language-specific phenomena, and (8) location-specific phenomena.

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