東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Development of a System to Collect S...

Lah, Mike Myoungwhan.

FindBook

Google Book

Amazon

博客來

Development of a System to Collect Social Network Data from College Students for Future Studies in Health Behavior and Academic Performance.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Development of a System to Collect Social Network Data from College Students for Future Studies in Health Behavior and Academic Performance./
作者:	Lah, Mike Myoungwhan.
面頁冊數:	36 p.
附註:	Source: Masters Abstracts International, Volume: 52-02.
Contained By:	Masters Abstracts International52-02(E).
標題:	Computer science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1543787
ISBN:	9781303318672

Development of a System to Collect Social Network Data from College Students for Future Studies in Health Behavior and Academic Performance.
Lah, Mike Myoungwhan.

Development of a System to Collect Social Network Data from College Students for Future Studies in Health Behavior and Academic Performance. - 36 p.

Source: Masters Abstracts International, Volume: 52-02.

Thesis (M.S.)--University of California, San Diego, 2013.

Researchers study social networks to understand how individuals with similar behavior form clusters, and what causes them to do so. Universities are interested in learning more about influential factors of student behavior, including the impact that their social networks have on these behaviors. We have done foundational work to collect a dataset about UCSD student social network data gathered from Facebook and academic data from the UCSD Registrar. Once complete, the social network portion of this dataset will also be combined with datasets on health behaviors, potentially to build predictive models for depression, substance abuse, and other important conditions.

ISBN: 9781303318672Subjects--Topical Terms:

523869
Computer science.

Development of a System to Collect Social Network Data from College Students for Future Studies in Health Behavior and Academic Performance.
LDR:01654nmm a2200301 4500 001 2069815
005 20160524150704.5
008 170521s2013 ||||||||||||||||| ||eng d
020 $a 9781303318672
035 $a (MiAaPQ)AAI1543787
035 $a AAI1543787
040 $a MiAaPQ $c MiAaPQ
100 1 $a Lah, Mike Myoungwhan. $3 3184825
245 1 0 $a Development of a System to Collect Social Network Data from College Students for Future Studies in Health Behavior and Academic Performance.
300 $a 36 p.
500 $a Source: Masters Abstracts International, Volume: 52-02.
500 $a Advisers: Lucila Ohno-Machado; Charles Elkan.
502 $a Thesis (M.S.)--University of California, San Diego, 2013.
520 $a Researchers study social networks to understand how individuals with similar behavior form clusters, and what causes them to do so. Universities are interested in learning more about influential factors of student behavior, including the impact that their social networks have on these behaviors. We have done foundational work to collect a dataset about UCSD student social network data gathered from Facebook and academic data from the UCSD Registrar. Once complete, the social network portion of this dataset will also be combined with datasets on health behaviors, potentially to build predictive models for depression, substance abuse, and other important conditions.
590 $a School code: 0033.
650 4 $a Computer science. $3 523869
650 4 $a Social research. $3 2122687
650 4 $a Public health. $3 534748
650 4 $a Web studies. $3 2122754
690 $a 0984
690 $a 0344
690 $a 0573
690 $a 0646
710 2 $a University of California, San Diego. $b Computer Science and Engineering. $3 1018473
773 0 $t Masters Abstracts International $g 52-02(E).
790 $a 0033
791 $a M.S.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1543787