Sensor Based Exploration : Incremental Construction of the Hierarchical Generalized Voronoi Graph
M acroscopic Exploration of the Twitter Social Graph
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Transcript of M acroscopic Exploration of the Twitter Social Graph
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Macroscopic Exploration of the Twitter Social Graph
Maksym Gabielkov, Arnaud LegoutEPI DIANA, Sophia Antipolis{maksym.gabielkov, arnaud.legout}@inria.fr
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How information propagate?
What are the influence mechanisms?
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Friends
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ProducerConsumers
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Follow Relationship in Twitter
Alice Bob
Bob follows AliceAlice follows Bob
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The Twitter Social Graph
Alice Bob
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+500 millions nodes+24 milliards edges
Challenges1. Collect the graph2. Decompose the graph3. Give a physical meaning
to the decomposition
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How is constraint information propagation?
Identify the highways
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250 millions
250 millions
7
26 000
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Macrostructure of the Twitter social graph
SCC decomposition
Directed acyclic graph
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LSCOUT
IN
DISCONNECTED
IN-TENDRILSOUT-TENDRILSOTHER
BRIDGES
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Macrostructure of the Twitter social graph
Directed acyclic graph Macrostructure
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Which physical meaning for the decomposition?
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1% accounts
<0.01% tweets<0.01% edges
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98% of the tweets98% of the edges50% of the accounts
Regular activity
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1,5% of the tweets5,3% of the accounts0% outgoing edges
Selfi
sh ce
lebriti
es
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21,4% of the accounts0,25% of the tweets
Passive users
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21,6% of the accounts99% no edge80% no tweet
Spammeurs
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Macroscopic Exploration of the Twitter Social Graph
Maksym Gabielkov, Arnaud LegoutEPI DIANA, Sophia Antipolis{maksym.gabielkov, arnaud.legout}@inria.fr
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Following et follower
Alice Bob
following follower
Alice
following follower
Bob
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Twitter in 2009 41.7 million users 1.47 billion follow links Average degree: 35 Partial crawls
Twitter in 2012 537 million users 23.95 billion follow links Average degree: 44 Complete crawl