| Project/Area Number |
24653131
|
|---|
| Research Category |
Grant-in-Aid for Challenging Exploratory Research
|
| Allocation Type | Multi-year Fund |
|---|
| Research Field |
Sociology
|
|---|
| Research Institution | Kansai University |
|---|
Principal Investigator |
YASUDA Yuki 関西大学, 社会学部, 教授 (00267379)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
TORIUMI Fujio 東京大学, 工学(系)研究科(研究院), 准教授 (30377775)
|
|---|
| Project Period (FY) |
2012-04-01 – 2015-03-31
|
| Project Status |
Completed (Fiscal Year 2014)
|
| Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2013: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2012: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
|
|---|
| Keywords | twitter / 社会的ネットワーク / つぶやき / 民意 / SNS / ソーシャルメディア / 社会的イベント / Twitter / 民意推定 / 情報拡散 / 個人情報 / 情報伝播 / 普及 / ネットワーク分析 |
|---|
| Outline of Final Research Achievements |
We build a Web Tweet Crawler System (WTC) for collecting Tweets data. This project also examined how dissemination by Twitter occurred and how hubs and ordinary people contributed diffusion on social media. Examining various Tweets data, including demagogue data, election data, social-event data, we found opinion leaders, followers and ignorant influencers did affect people's recognition of social realty. Aggregation and converting micro tweets data macro, so called “big data” allowed us to monitor and sensor quasi public opinion. We propose categorization of social media users' reaction to various social events.
|
