ICWSM12・初日メモ

アイルランドで6月5～7日の日程で行われているICWSM12に参加しているので，
聴講メモを貼り付けておきます．

6/5発表分

Distributional Footprints of Deceptive Product Reviews

Customer's review 

5と評価する人もいれば，1を評価する人もいる

1-5の評価分布から，ステマを探す

National vs Distorted(自然？ゆがんでる？)

Find from distribution

SingleReviewかMultiReviewかで行動が違う

Singleだと1か5が多い

Multiは4-5が多い

S-Shape vs J-Shape(Single)

Characterization of rating distribution

D sorted by #

4，2が高いものと4，5が高いものが多い

MultiTimeとSingleTimeで形が全然違う

51・・と15・・が多い

Detection strategies to identify deceptive business entities

SingleReviewer vs MultiReviewer

positive/negative

Temporal boost in ratingの発見

Novel evaluation methodologies

Pseudo-Gold Standard Data

72~75%の判別率

Baselineが40%程度

Privacy in Interaction: Exploring Disclosure and Social Capital in Facebook

Presentation of Self in Everyday Life.

いろいろなクラスタが本人を中心にネットワークを形成しているはず

Social Capital

Access to emotional and substantive support often from strong ties.

Face book user variables

Signals of Relational Investment

Responding to friends' question because,

-Create an expectation about reciprocal behavior

-Perform a social grooming function

-Potentially train the news feed

-Comments on friends update and wall post are seen by the friends' network

Friendの割合が高くなるほど，FriendsOnlyが増えてくる

Bonding SC:Benefits of focused inclusive interaction

Bridging SC:Costs of highly targetting disclosing

Don’t Disturb My Circles! Boundary Preservation Is at the Center of Location-Sharing Concerns

What is the motivation of Boundary regulation

Online Boundary Regulation

preserve offline relation ship

Friendに対してはPrivacyを考える

Familyは考えない

Strangerに対しても考えない(日本とは違うなあ)

Boundary preservation concern = BPC

Facebook and Privacy: The Balancing Act of Personality, Gender, and Relationship Currency

sentiment的に友人と自分には相関がある

disclose & conceal what is considered private and public in Facebook

Count number of disclosed & concealed from facebook properties

Item Response Theory(IRT)

P_IJ= 1/(1+exp(-a_i(t_j-B_i)))

1. Smart Privacy Mob

About privacy, Westine has divided people in

 1.privacy fundamentalists

 2.pragmatic majority

 3.marginally concerned

2. Who are they?

Those who share more sensitive info are

-open to new experience ------important

-self monitoring

-male --------------------------important

-more active 

-younger

3. What's sensitive

position, employer

residence, hometown not sensitive in circle.

The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City

neighborhoods

Two perspectives

Politically constructed 政治的に作られた構造か

Socially constructed 社会的に作られた構造か

Collective Cognitive Map

どこでTweetしたかでユーザをグループ分け

そこから，土地のグループ分け．

Tweetにも応用可能か．

場所の類似性(Jaccard係数)

How to evaluate

実際にピッツバーグの人に聞いてみた

Who Does What on the Web: A Large-Scale Study of Browsing Behavior

Nielsen MegaPanel

265000 individuals in US

user data, log of anonymized complete browsing activity from 2009/6-2010/5

Younger and more educated => more use web, more active

色々調べているけど・・・

education が大きな効果を持つ

Evolution of Experts in Question Answering Communities

Expert Influence best answer selection

Ordinary users get intimated by expert

Experts avoid other experts

Experts evolve with differente patterns

These experes can be found with satisfactory performance within 20 weeks

Temporal Motifs Reveal the Dynamics of Editor Interactions in Wikipedia

Motifを使ってWikipediaの編集を分析

編集合戦中とかMotifから判別可能

Modeling Spread of Disease from Social Interactions Best Paper Candidate!

SVMでインフルエンザであるTweetかどうかを判断

Modeling Destructive Group Dynamics in On-line Gaming Communities

WoWを対象にグループの生成と解散を分析

ギルドの歴史から分析可能

Charactor&Guildの二部ネットワーク

Guild抜けは感染する

Quitting Eventを予測可能か？

Quitting Eventが起きないことは90％近い予測

Quitting Eventが起きる可能性は30%程度

ソーシャルネットワークとして調べると面白い

GroupDynamicsが直接見えるデータというのは貴重だ．