www2013一日目

リオで行われているwww2013に参加したので，メモ．

初日は13時についてWSに以下の参加．

InvitedTalkが気になったけど，途中からしか参加できず，しかもあまりネットワークダイナミクスではなかったので，割愛．

mining social network dynamics(msnd2013)

The Role of Research Leaders on the Evolution of Scientific Communities 

- A group of leaders or influential members are able to affect the dynamics of entire community

Study the dnamics of Scientific communities

- Idenfity leader ships, community core

Data Source: dblp (computer science bibliography)

24 ACM SIGs Condiered => Leaders

Estimates a researchers' importance within a community

coresscore of researcher r to community c at time t is given by

Hindex = #rct

式を聞き逃したので，論文をチェック．

Core memvers are awarded

単にCoreScoreと色々な指標を比べたという感じ．

Resolving Homonymy with Correlation Clustering in Scholarly Digital Libraries. 

同音異義語を発見する

著者名とか

Classify papers by its authorship correctly

類似した内容の論文は同一著者のものが多いだろうと言うことでClustering

paper => point on m-dimensional space 

k-meansクラスタリングのやり方を工夫．

そこそこの出来か？

詳細は論文．

Examining Lists on Twitter to Uncover Relationships between Following, and Membership/Subscription. 

uncover information consumption patterns on twitter

relationship between listing following subscription

Listm following, subscribingの類似性と相違性は？

temporal relatoinshipsは？

DataSet:

907 Twitter users

List vs Following

Curators:

Substantial number of curators who have listed people without following

Subscribing vs Following

Distribution are more skew than L vs F

Curators follow 11%

Listing vs Subscribing

Listing and subscribing are different

L&F is similar

Temporal Analysis

どのようにL,F,Sの関係が移っていくのか分析

面白そうなので，あとで論文をチェックしよう．

Analyzing and Predicting Viral Tweets. 

Detection of Spam Tipping Behaviour on Foursquare. 

体力の限界につき断念

ブラジルは遠い．