This Python source code for Twitter API is based on "Mining the Social Web (2nd Edition)", and supplies code samples for authorizing application access, retrieving trends, displaying API responses as pretty-printed JSON, computing intersections of two set trends, collecting search results, extracting text, screen names, and hashtags from tweets, creating frequency distributions from words in tweets, using prettytable to display tuples in tabular format, calculation of lexical diversity, finding popular retweets, looking up authors of retweets, plotting frequencies of words, generating histograms of words, screen names, and hashtags, and generating histograms of retweets counts.
Some may remember yfrog as the photo sharing service previously associated with Twitter. However, since Twitter's launch of it's own internal photo sharing service last year, Yfrog has been left worse for wear. Despite the effects of this, Jack Levin (ImageShack founder) has not accepted defeat and has bravely entered the social networking arena to meet the giants face to face.
With data being both more plentiful and accessible than ever, tools that help users quickly make sense of it become increasingly valuable. As expected, much of the data being used comes from social sites. We come across mashups that access this data and provide interesting ways of looking at it from influence circles, tweet impacts and search results. Here is a look at four that caught our attention.
A project of the Elgg Foundation, Elgg is a free open source social networking engine licensed to users under the GNU Public License v2. The REST Elgg API allows developers to integrate Elgg and offer new apps for it. To give a sense of its size, 1,646 plugins have been created so far by the user community, with nearly 3 million downloads. Examples of plugins include blogs, forums, social bookmarks.