This Python source code for Twitter API is based on "Mining the Social Web (Second Edition) and provides sample code for accessing Twitter's API for development and oAuth access for production purposes, discovering trending topics, searching for tweets, constructing convenient function calls, saving and restoring JSON data with flat-text files, using MongoDB, sampling the Twitter firehose with the Streaming API, collecting time-series data, extracting tweet entities, finding the most popular tweet and tweets in a collection of tweets, tabulating frequency analysis, finding users who have retweeted a status, extracting a retweet attribution, making robust Twitter requests, resolving user profile information, extracting tweet entities from arbitrary text, getting friends and followers for a user, analyzing user's friends and followers, harvesting a user's tweet, crawling a friendship graph, analyzing tweet content, summarizing link targets, and analyzing a user's favorite tweet.
MySpace, the social network heavyweight looking to get back some of their old momentum is making a big splash with developers this week. On one hand, they announced an innovative, open platform for real-time stream access and more. But will that be overshadowed by a complete lack of care for the community that built applications on top of Imeem, the music service MySpace acquired and quickly shuttered?
Word of mouth is the best kind of information when looking for advice on where to eat, places to stay, things to do and more. Applications like Yelp and Tripadvisor offer users great insight when it comes to reviews and recommendations, but Trippin' In takes this concept to the next level by providing up-to-date social rankings; instant insight into what's popular right now. The Trippin' In API makes it possible for this functionality to be integrated into already existing recommendation applications, further enhancing their relevance and appeal to users.