As in the real world, even on the social media, people have a preference relationship with certain individuals recognized for their prestige, reputation and experience.
Opinion leaders are those who first create or become acquainted with media content and interpret it in their own opinions. Subsequently, such opinions are spread to the general public, which becomes an opinion follower.
Social Network Analysis, alongside the most traditional social media analytics tools, can help identify the most interesting communities, the most shared topics, relevant influencers, and analyze the different aspects of engagement within social media.
About this course
In this introductory, self-paced course, you will learn the basics of online conversation analysis, with particular focus on Twitter. The aim is to provide an overview of the Social Network Analysis methodology and introduce some entry-level tools for collecting, analyzing and displaying online social relationships through simulations and case studies.
- Origins, applications, and basic knowledge of Social Network Analysis
- Mono-partite and n-partite graph
- BOTs on Twitter, how identify them with Social Network Analysis metrics
- Overview of some entry-level tools (SocioViz, Gephi)
- Analyze Twitter conversations and identifiy the most active and influential users
- Facebook–Cambridge Analytica data scandal and impacts on social media mining tools
- 100+ minutes of recorded video
- 100+ slides with speaker notes
- 6 datasets
About the instructorAlessandro Zonin is a sociologist, working as a Social Media Strategy Leader.
Passionate about Social Network Analysis and interested its the practical applications as the identification of key roles within social media and organizational networks.
Alessandro is a Verified Gephi trainer and TEDx speaker.
Know him better on alessandrozonin.wordpress.com.
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