Maksym Gabielkov Ashwin Rao Arnaud Legout EPI DIANA Sophia Antipolis maksymgabielkov a rnaudlegout inriafr Friends Producer Consumers Follow R elationship in Twitter ID: 585867
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Information propagation in social networks
Maksym Gabielkov, Ashwin Rao, Arnaud LegoutEPI DIANA, Sophia Antipolis{maksym.gabielkov, arnaud.legout}@inria.frSlide2
FriendsSlide3
Producer
ConsumersSlide4
Follow Relationship in Twitter
Alice
Bob
Bob
follows
Alice
Alice
follows
BobSlide5
The Twitter Social Graph
Alice
BobSlide6
+500 million
nodes+24 billion edges
Challenges
Collect the graph
Decompose the graph
Give a physical meaning to the decompositionSlide7
7Slide8
How is constraint information propagation?
Identify the highwaysSlide9Slide10
3
3
4
1
1
4
1
1
1
1
1
1
1
1Slide11
3
3
4
1
1
4
1
1
1
1
1
1
1
1Slide12
250 millions
250 millions
726 000Slide13
Twitter social graph500 million
nodes
Directed acyclic graph
249 million nodesSlide14
LSC
OUT
IN
DISCONNECTED
IN-TENDRILS
OUT-TENDRILS
OTHER
BRIDGESSlide15
Macro structure8 components
Twitter social graph500 million nodes
Directed acyclic graph
249 million nodesSlide16
What is the physical meaning of decomposition? Slide17
17Slide18
18Slide19
19Slide20
20Slide21
21Slide22
1
%
accounts
<0.01% tweets
<0.01% edgesSlide23
98% of the tweets
98% of the
edges
50% of the
accounts
Regular
activitySlide24
1,5% of the tweets
5,3% of the
accounts
0%
outgoing
edges
Selfish
celebritiesSlide25
21,4%
of the
accounts
0,25% of the tweets
Passive
usersSlide26
21,6% of the
accounts
99% no
edge
80% no tweet
SpammeursSlide27
Information propagation in social networks
Maksym Gabielkov, Ashwin Rao, Arnaud LegoutEPI DIANA, Sophia Antipolis{maksym.gabielkov, arnaud.legout}@inria.frSlide28Slide29
Twitter in 2009
41.7 million users1.47 billion follow linksAverage degree: 35Partial crawlsTwitter in 2012537 million users23.95 billion follow linksAverage degree: 44Complete
crawlSlide30Slide31