Twitter Data Analytics (SpringerBriefs in Computer Science)

By Shamanth Kumar, Fred Morstatter, Huan Liu

This short presents equipment for harnessing Twitter facts to find recommendations to complicated inquiries. The short introduces the method of accumulating info via Twitter’s APIs and gives ideas for curating huge datasets. The textual content offers examples of Twitter facts with real-world examples, the current demanding situations and complexities of establishing visible analytic instruments, and the simplest thoughts to handle those matters. Examples display how strong measures might be computed utilizing a number of Twitter facts assets. because of its openness in sharing info, Twitter is a chief instance of social media during which researchers can confirm their hypotheses, and practitioners can mine fascinating styles and construct their very own purposes. This short is designed to supply researchers, practitioners, undertaking managers, in addition to graduate scholars with an access element to leap commence their Twitter endeavors. It additionally serves as a handy reference for readers pro in Twitter facts research.

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2. eight additional interpreting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . five 6 7 10 12 12 14 14 sixteen 17 17 19 20 21 22 22 three Storing Twitter information . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . three. 1 NoSQL during the Lens of MongoDB . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . three. 2 constructing MongoDB on a unmarried Node . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . three. 2. 1 fitting MongoDB on home windows® . . . . . . . . . . . . . . . . . . . . . . . . . . . three. 2. 2 working MongoDB on home windows . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . three. 2. three fitting MongoDB on Mac OS X® . . . . . . . . . . . . . . . . . . . . . . . . . three. 2. four working MongoDB on Mac OS X . . . . . . . . . . . . . . . . . . . . . . . . . . . . three. three MongoDB’s information association . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . three. four the best way to Execute the MongoDB Examples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 23 24 24 25 25 26 26 26 ix x Contents three. five three. 6 three. 7 three. eight three. nine including Tweets to the gathering . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Optimizing Collections for Queries. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Indexes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Extracting records: Retrieving All files in a suite . . Filtering records: variety of Tweets Generated in a undeniable Hour . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . three. 10 Sorting records: discovering the latest Tweets . . . . . . . . . . . . . . . . three. eleven Grouping files: making a choice on the main pointed out clients . . . . . . . three. 12 additional interpreting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 27 28 29 four interpreting Twitter information. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . four. 1 community Measures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . four. 1. 1 what's a community? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . four. 1. 2 Networks from Twitter info . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . four. 1. three Centrality: who's vital? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . four. 1. four discovering similar info with Networks . . . . . . . . . . . . . . . . . . four. 2 textual content Measures. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . four. 2. 1 discovering subject matters within the textual content . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . four. 2. 2 Sentiment research . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . four. three extra analyzing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 35 35 37 37 forty-one forty two forty three forty five forty eight forty eight five Visualizing Twitter information . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . five. 1 Visualizing community details . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . five. 1. 1 info circulate Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . five. 1. 2 Friend-Follower Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . five. 2 Visualizing Temporal details . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . five. 2. 1 Extending the services of development Visualization. . . . . . . . . . . . five. 2. 2 acting Comparisons of Time-Series information . . . . . . . . . . . . . . . five. three Visualizing Geospatial info . . . . . . . . . . . . . . . . . .

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