www2013五日目

www2013最終日メモ．

帰国便の都合でKeyNoteしか聞けなかった．

Kleinbergの話だったのでそこそこ満足．

一番面白いKeynoteだったかも．

ちなみに，Keynoteの前に来年のwww2014の宣伝が流れた．

来年は韓国ソウル．

一番遠い国から一番近い国へ．

日帰りも出来ちゃうんじゃない疑惑w

Keynote

Jon Kleinberg

Computational Perspective on Social Phenomena in On-Line Networks

Web is metaphors of library and Crowd

Core Question Combining content and structure

Basic question

- What features of a message help predict its level of penetration

- How can network structure help untderstanding contents?

- 

Quoted Phrases The 2008 election news cycle

 - many phrases

Why do certain quotes stand out?

Movie Quotes as Viral Text

Algorithm Recognition of Memorability

- Less probable in their word choice

 - Compare to a base language model trained on newswire

 - Not just individual word, but consecutive 2- and 3-word sequence

 - E.g. "You had me at hello"

- But more probable in their part-of-speech composition

 -" You had me at hello" has same part-of-speech sequence as "I met him in boston".

- A memorable quote : a sequence of unusual words built on a scaffolding of common part-of-speech paterns

Connective Media and Social Feedback Effect

IN aggregate memorable quotes are more general

- suggest a certain probability to the quote

Meme mutation

mutation of textual mems as thery trabel from source to source

genetic analogy for mems beginning of a formalization

- fitness function

- mutation mechanism and functional element

- population structure

Decisions in SocialMedia

interface with the network plays a role in your decisions

- User-defined groups 

participate in online collaborative project

decision to use Twitter Hashtag

Click on a product ad endorsed 

Diffusion Curve

Long standing framework

proability of adopting a behavior depends on number of network neighbors already adopting

Key issue; qualitative shape of the curves

Diminishing returns? Critical Mass?

Predicgtion and Potential Influence

Likly to do something when more friends are doing it, Why?

homophily / selection vs influence

Structural Diversity

Dependence on number of friends :

  a first step toward general prediction

- Given the full pattern of connections among your friends, estimate probability of adopting a new behavior

Structural diversity

 - using mot-if

Appilcation to cnoversational curation

Many sites organized around evolvind discussion threads

Basic problem : Algorithmic curation

Key sub-problem : Length prediction

Final Reflections: Toward a model of You

Not only massive population, data of indiviidually

Software that understands your behavior better then you do

- Ex:How rapidly do you reply to email?

The web is powered by feedback loop between people and information

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Keynoteのあと，すぐに空港へ向かったんだけど

結局飛行機の出発は3時間遅れ．

その理由が「搭乗員が空港に着くのが遅れたため」

そんな理由もあるのか！

さすがブラジル・・・