meme spread in networks

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Meme spread in networks Matthew Simmons, Lada Adamic, Eytan Adar School of Information University of Michigan

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Meme spread in networks. Matthew Simmons, Lada Adamic , Eytan Adar School of Information University of Michigan. outline. patterns of mutation of information flowing online a simple model to reproduce patterns relationship to network structure for details: - PowerPoint PPT Presentation

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Page 1: Meme spread in networks

Meme spread in networks

Matthew Simmons, Lada Adamic, Eytan AdarSchool of InformationUniversity of Michigan

Page 2: Meme spread in networks

outline patterns of mutation of information flowing

online a simple model to reproduce patterns relationship to network structure

for details: M Simmons, LA Adamic, E Adar, ‘Memes Online

: Extracted, Subtracted, Injected, and Recollected’, ICWSM 2011.

Page 3: Meme spread in networks

quotes that never were

closest proximity: "I have the advantage of knowing your habits, my dear Watson," said he."When your round is a short one you walk, and when it is a long one you use a hansom. As I perceive that your boots, although used, are by no means dirty, I cannot doubt that you are at present busy enough to justify the hansom."

"Excellent!" I cried.

"Elementary," said he.

Is it “Elementary, my dear Watson”?

Page 4: Meme spread in networks

events that never were

"Street style shooting in Oxford Circus for ASOS and Diet Coke. Let me know if you're around!!”

"Apparently theres a shooting at Oxford Circus, gunmen on the move. We've been told to stay in”

“Shooting in progress in Oxford Circus? What?”

source: http://iu-doing.tumblr.com/

Page 5: Meme spread in networks

5

Do bloggers kill kittens?

02:00 AM Friday Mar. 05, 2004 PST Wired publishes: "Warning: Blogs Can Be Infectious.”

7:25 AM Friday Mar. 05, 2004 PST Slashdot posts: "Bloggers' Plagiarism Scientifically Proven"

9:55 AM Friday Mar. 05, 2004 PST Metafilter announces "A good amount of bloggers are outright thieves."

Before lunch: Eytan writes FAQ: Do bloggers kill kittens?

After lunch: Several bloggers title posts ‘Bloggers kill kittens!’

Page 6: Meme spread in networks

MemeTracker data

by Jure Leskovec, Lars Backstrom and Jon Kleinberg, KDD ‘09

Page 7: Meme spread in networks

MemeTracker dataset

Page 8: Meme spread in networks

phrase edit types

cuts

additionalteration

Page 9: Meme spread in networks

Additions: returning to the source?

“I will mourn the loss of thousands of precious lives, but I will not rejoice in the death of one, not even an enemy. Returning hate for hate multiplies hate, adding deeper darkness to a night already devoid of stars. Darkness cannot drive out darkness; only light can do that. Hate cannot drive out hate, only love can do that.” – MLK Jr.

I will mourn the loss of thousands of precious lives, but I will not rejoice in the death of one, not even an enemy.“Returning hate for hate multiplies hate, adding deeper darkness to a night already devoid of stars. Darkness cannot drive out darkness; only light can do that. Hate cannot drive out hate, only love can do that.” – MLK Jr.

I will mourn the loss of thousands of precious lives, but I will not rejoice in the death of one, not even an enemy. – MLK Jr.

misattribution

Page 10: Meme spread in networks

shorter phrases are more popularphrase variants within the same cluster on MemeTracker

"That's not change. That's just calling something the same thing something different. You know you can put lipstick on a pig, but it's still a pig. You know you can wrap an old fish in a piece of paper called change, it's still going to stink after eight years. We've had enough of the same old thing.” – Barack Obama You know you can put lipstick on a pig, but it's still a pig.

Page 11: Meme spread in networks

new variants proliferate ahead of the peak in popularity

Page 12: Meme spread in networks

simple urn model

source:abcdefghijkabcdefghijk abcdefghijkcdefg

cdecdefg

• imperfect copies are made• choose to copy either from

source or from another copy• more likely to choose more

recent copy to copy from

Page 13: Meme spread in networks

phrase length (data vs. model)

MemeTracker data model

Page 14: Meme spread in networks

phrase length over time

Page 15: Meme spread in networks

phrase length over time (data vs. model)

MemeTracker data

model

Page 16: Meme spread in networks

what if copies are not derived from copies?

Diamond writes:"We should all worry about how distorted the confirmation process has become, and how little understanding of monetary policy there is among some of those responsible for its Congressional oversight. We need to preserve the independence of the Fed from efforts to politicize monetary policy and to limit the Fed’s ability to regulate financial firms."

[..] advantage of some of the many opportunities that come to a Nobel laureate. So don’t worry about me.

But we should all worry about how distorted the confirmation process has become, and how little understanding of monetary policy there is among some of those responsible for its Congressional oversight. [..]

Blogrunner records blogs directly quoting NY Times articles

Page 17: Meme spread in networks

what if copies are not derived from copies? When quotes are found on blogs directly citing

the source (e.g. NYTimes), there is no shortening over time

Page 18: Meme spread in networks

How are memes affected by network structure?

Page 19: Meme spread in networks

network structure and meme mutation subset of MemeTracker data contains network

information 9,208 nodes and 61,511 distinct edges

in-degree of a source node is positively correlated with percentage copies made of the source that mutate it (r = 0.45)

in-degree of copying node is slightly positively correlated with probability that it will mutate what it copies (r = 0.14)

betweenness is positively correlated with sd(length) of copies (r = 0.43)

Page 20: Meme spread in networks

Fidelity in the mainstream media & blogs

Proportion of derivative typesoccurring on edges

Types of alteration amongphrases that are not exact copies

Page 21: Meme spread in networks

summary information changes as it propagates through

a network multi-step diffusion is responsible for change the change can be modeled as a simple urn

process the characteristics of nodes (mainstream vs.

blogs) and their position in the network correspond to different amounts of change

thanks:

for details:M Simmons, LA Adamic, E Adar, ‘Memes Online: Extracted, Subtracted, Injected, and Recollected’, ICWSM 2011.

Page 22: Meme spread in networks

future work Automatically identifying segments of text

that are likely to become memes Characterizing common mutations Sentiment change and network structure

Page 23: Meme spread in networks

questions?