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Twitter Analytics-Mapping User Information

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Twitter ranks as one of worlds top social and business networking sites and in that respect, data feeds for Twitter make for great visualization and study. There are several different angles from which Twitter data can be studied such as member statistics, tweet frequencies and also tweet content. One of the most effective ways to study these patterns is via flash mapping.

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In order to trace the increasing or decreasing popularity of Twitter the world over, we can create a dynamic flash map and using real time data feed show the continuously changing set of bars that show us the number of users joining Twitter the world over in a day or a month or even a year depending on time frame required. This not only leads to us gaining an idea of the popularity of Twitter, but the numbers also let one modify marketing strategy according to the number of users in an area.

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Another area of Twitter analytics that is very popular as well as interesting in that of studying the subject of the tweets. It is obvious in most cases that a very popular news item will be tweeted on by the user but often, Twitter is used by companies to continuously update consumers on their products and on general company information that is likely to be found interesting. Flash maps are a great way of studying this data. Take a map of the U.S. for example. On the map, we first plot the number of tweets in each state or in each capital and provide drill down options which allows a viewers to read the top five tweets from that area in a particular day or week depending on the length of time the data has been accumulated over. Easily comprehensible and visually stunning, this map can communicate very effectively exactly the kind of information that captures the users’ imagination.

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An idea for a third map comes from the trend of Twitter users putting up what we can now call the ‘Good morning tweet’. Most users have been found likely to put up a ‘Good Morning’ tweet as the first of the day. On a map, this data is simply visualized if board pins-like points are used to mark a group of tweets from a chosen area. These markers can be color coded according to time of tweet and also language used. For analytical practices, each point can include a drill-down option which allows the viewer to then study the user information over the world.

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There are several other flash maps that can be created out of Twitter statistics but these would be the most common forms of visualization. These dynamic survey maps are not only visually arresting but they are also great sources of data to study user data and also to determine marketing strategy.

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