Description: A collection of useful Twitter Utilities Tools: Of primary interest is the graphing tool. It will determine if a Twitter user has another user in thier 1st, 2nd or 3rd degree of connections Limitations: Running 3rd degree checks on users that have a lot of followers/friends will result in using all your available API hit. Twitter developer account recommended!
Result: the graph method returns a hash of arrays, keyed off the degree of separation. The value for each key an array of all the connections that exist at that level. Each connection is described by a series of Twitter IDs that are ordered by the flow of the connection.
Example: tootil = Tootils.new(user, pass) tootil.graph(sarahr, brookr)
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11136022]], 2=>[], 3=>[]
tootil.graph(sarahr, whitscott)
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2=>
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[[11146212, 11136022, 9338922],
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[11146212, 14864296, 9338922],
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[11146212, 17785160, 9338922],
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[11146212, 6602252, 9338922],
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[11146212, 11136252, 9338922]],
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3=>[]
tootil.graph(sarahr, pop17)
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2=>[],
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3=>
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[[11146212, 11136022, 9338922, 74673],
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[11146212, 11136022, 813286, 74673],
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[11146212, 11136022, 5997662, 74673],
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[11146212, 11136022, 2874, 74673],
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[11146212, 11136022, 734493, 74673],
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[11146212, 14864296, 9338922, 74673],
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…
Author: Brook Riggio twitter.com/brookr
History: 2009-07-16: Version 0.1.1: “Gemified!”
– Thanks to @jackdanger for using technicalpickles-jeweler to set up the gem
2009-07-15: Version 0.1.0: “Layout the API”
– Renamed project Tootils, to make space for other utilities
– Totally refactored
– Graph now shows all connections between two users
– Consistent internal API
– Renamed links_to to graph
– Better data structure for graph results
2009-05-26: Version 0.0.2: “We might have something here”
– Now checks the 3rd degree as intended
– Various optimizations to reduce API hits
– Refactorings!
2009-02-20: Version 0.0.1: “Proof of concept”
– Checks first and second degree
– Uses lots of API hits
– But keeps track of those API hits used!