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Session 2: Mapping Virtual Crowd Networks for Journalists - Application and Examples
Creating a network map from social media data is like taking a picture of a virtual crowd. These network maps are helpful tools for journalists looking for stories “behind the hashtag”. Almost every story now has a social media dimension. Covering a story in the physical world while keeping up to date on the large streams of content flowing through social media is a challenge that requires better tools to overcome.
In this session we will look at several NodeXL network maps created from current Twitter discussions. We will interpret the network shapes, look at clusters, identify thought leaders, and analyze shared content. Further examples include maps of botnets, as well as social media connections among the members of national legislatures. The social network of the Bundestag, for example, reveals current and shifting cross party alliances and leaders along with a quick summary of their member’s agenda as seen through the words, hashtags, and URLs.
Attendees can also create their own datasets and maps easily with the automation feature during this session. Attending the session “Introduction to Social Network Analysis with NodeXL” is helpful, but not required.
Note: 20 laptops with installed software and user licenses will be available in this session. If you choose to bring your own laptop, please send an email to firstname.lastname@example.org, and you will receive a NodeXL Pro trial user license along with installation instructions (Requirements: Windows OS, Microsoft Office Excel).
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