m acroscopic exploration of the twitter social graph

Macroscopic Exploration of the Twitter Social Graph

Maksym Gabielkov, Arnaud LegoutEPI DIANA, Sophia Antipolis{maksym.gabielkov, arnaud.legout}@inria.fr

How information propagate?

What are the influence mechanisms?

Friends

ProducerConsumers

Follow Relationship in Twitter

Alice Bob

Bob follows AliceAlice follows Bob

The Twitter Social Graph

Alice Bob

+500 millions nodes+24 milliards edges

Challenges1. Collect the graph2. Decompose the graph3. Give a physical meaning

to the decomposition

8

How is constraint information propagation?

Identify the highways

3 34

1 1

4 1

11

1 1

1 1

1

3 34

1 1

4 1

11

11

1 1

1

250 millions

250 millions

7

26 000

Macrostructure of the Twitter social graph

SCC decomposition

Directed acyclic graph

LSCOUT

IN

DISCONNECTED

IN-TENDRILSOUT-TENDRILSOTHER

BRIDGES

Macrostructure of the Twitter social graph

Directed acyclic graph Macrostructure

Which physical meaning for the decomposition?

18

19

20

21

22

1% accounts

<0.01% tweets<0.01% edges

98% of the tweets98% of the edges50% of the accounts

Regular activity

1,5% of the tweets5,3% of the accounts0% outgoing edges

Selfi

sh ce

lebriti

es

21,4% of the accounts0,25% of the tweets

Passive users

21,6% of the accounts99% no edge80% no tweet

Spammeurs

Macroscopic Exploration of the Twitter Social Graph

Maksym Gabielkov, Arnaud LegoutEPI DIANA, Sophia Antipolis{maksym.gabielkov, arnaud.legout}@inria.fr

Following et follower

Alice Bob

following follower

Alice

following follower

Bob

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