Mapping the Great Beyond: Identifying Meaningful Networks in

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MAPPING THE GREAT BEYOND 27 Figure 11a. Tweetstats Figure 11b. Tweetstats
28 MAPPING THE GREAT BEYOND This type of Web-based analysis is not limited to Twitter. The Facebook API also provides the ability to understand networks with which you are interacting. For example, Web-based analysis can be used to identify the individuals a user engages who also know each other. This can be done through online tools such as Social Graph. Alternatively, data can be extracted using My online social network and visualized using mapping software. 39 This type of mapping opens the potential use of numerous mapping algorithms to visualize different perspectives on the network and a possibility of combining information from different accounts. Figure 12. Mapping Facebook The ability to understand who in your network also knows each other can allow an organization to identify clusters related to particular interests, themes or events. In Figure 12 different colors have been used to represent the different clusters from my own Facebook network using data extracted using My online social network. This has the potential, if practitioners have large networks on Facebook, to demonstrate how their contacts have clustered together and may turn up a few surprises about who knows who. Extracting the data through the Facebook API also allows the networks from numerous
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Page 32 and 33: Part 2: A network based approach to
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Page 52 and 53: Part 3 Evaluation: a network based
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Page 72 and 73: Conclusion: a networked future for
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