A Spatio-Temporal Approach to the Discovery of Online Social Trends
Identifieur interne : 000B61 ( Istex/Checkpoint ); précédent : 000B60; suivant : 000B62A Spatio-Temporal Approach to the Discovery of Online Social Trends
Auteurs : Harshavardhan Achrekar [États-Unis] ; Zheng Fang [États-Unis] ; You Li [États-Unis] ; Cindy Chen [États-Unis] ; Benyuan Liu [États-Unis] ; Jie Wang [États-Unis]Source :
- Lecture Notes in Computer Science [ 0302-9743 ]
Abstract
Abstract: Online social networks (OSNs) have become popular platforms for people to interact with each other in the cyber space. Users use OSNs to talk about their daily activities, mood, health status, sports events, travel experiences, political campaigns, entertainment events, and commercial products, among other things. Conversations between users on an OSN site could reflect the current social trends that are of great interest and importance for individuals, businesses, and government agencies alike. In this paper we design and develop a comprehensive system to collect, store, query, and analyze OSN data for effective discovery of online social trends. Our system consists of three parts: (1) an OSN data collection engine; (2) a spatio-temporal database for storing, indexing, and querying data; and (3) a set of analytical tools for online social trend discovery. We demonstrate the effectiveness of our system using a recent result of predicting seasonal flu trends using Twitter data.
Url:
DOI: 10.1007/978-3-642-22616-8_40
Affiliations:
Links toward previous steps (curation, corpus...)
Links to Exploration step
ISTEX:9D89A2F3A123D1BBD0B07A34277BC6270F825A96Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">A Spatio-Temporal Approach to the Discovery of Online Social Trends</title><author><name sortKey="Achrekar, Harshavardhan" sort="Achrekar, Harshavardhan" uniqKey="Achrekar H" first="Harshavardhan" last="Achrekar">Harshavardhan Achrekar</name></author><author><name sortKey="Fang, Zheng" sort="Fang, Zheng" uniqKey="Fang Z" first="Zheng" last="Fang">Zheng Fang</name></author><author><name sortKey="Li, You" sort="Li, You" uniqKey="Li Y" first="You" last="Li">You Li</name></author><author><name sortKey="Chen, Cindy" sort="Chen, Cindy" uniqKey="Chen C" first="Cindy" last="Chen">Cindy Chen</name></author><author><name sortKey="Liu, Benyuan" sort="Liu, Benyuan" uniqKey="Liu B" first="Benyuan" last="Liu">Benyuan Liu</name></author><author><name sortKey="Wang, Jie" sort="Wang, Jie" uniqKey="Wang J" first="Jie" last="Wang">Jie Wang</name></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:9D89A2F3A123D1BBD0B07A34277BC6270F825A96</idno><date when="2011" year="2011">2011</date><idno type="doi">10.1007/978-3-642-22616-8_40</idno><idno type="url">https://api.istex.fr/ark:/67375/HCB-Z4LZDDP7-7/fulltext.pdf</idno><idno type="wicri:Area/Istex/Corpus">001002</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">001002</idno><idno type="wicri:Area/Istex/Curation">001002</idno><idno type="wicri:Area/Istex/Checkpoint">000B61</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Checkpoint">000B61</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">A Spatio-Temporal Approach to the Discovery of Online Social Trends</title><author><name sortKey="Achrekar, Harshavardhan" sort="Achrekar, Harshavardhan" uniqKey="Achrekar H" first="Harshavardhan" last="Achrekar">Harshavardhan Achrekar</name><affiliation wicri:level="4"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Computer Science, University of Massachusetts, 01854, Lowell, MA</wicri:regionArea><placeName><region type="state">Massachusetts</region><settlement type="city">Amherst (Massachusetts)</settlement></placeName><orgName type="university">Université du Massachusetts</orgName></affiliation></author><author><name sortKey="Fang, Zheng" sort="Fang, Zheng" uniqKey="Fang Z" first="Zheng" last="Fang">Zheng Fang</name><affiliation wicri:level="4"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Computer Science, University of Massachusetts, 01854, Lowell, MA</wicri:regionArea><placeName><region type="state">Massachusetts</region><settlement type="city">Amherst (Massachusetts)</settlement></placeName><orgName type="university">Université du Massachusetts</orgName></affiliation></author><author><name sortKey="Li, You" sort="Li, You" uniqKey="Li Y" first="You" last="Li">You Li</name><affiliation wicri:level="4"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Computer Science, University of Massachusetts, 01854, Lowell, MA</wicri:regionArea><placeName><region type="state">Massachusetts</region><settlement type="city">Amherst (Massachusetts)</settlement></placeName><orgName type="university">Université du Massachusetts</orgName></affiliation></author><author><name sortKey="Chen, Cindy" sort="Chen, Cindy" uniqKey="Chen C" first="Cindy" last="Chen">Cindy Chen</name><affiliation wicri:level="4"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Computer Science, University of Massachusetts, 01854, Lowell, MA</wicri:regionArea><placeName><region type="state">Massachusetts</region><settlement type="city">Amherst (Massachusetts)</settlement></placeName><orgName type="university">Université du Massachusetts</orgName></affiliation></author><author><name sortKey="Liu, Benyuan" sort="Liu, Benyuan" uniqKey="Liu B" first="Benyuan" last="Liu">Benyuan Liu</name><affiliation wicri:level="4"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Computer Science, University of Massachusetts, 01854, Lowell, MA</wicri:regionArea><placeName><region type="state">Massachusetts</region><settlement type="city">Amherst (Massachusetts)</settlement></placeName><orgName type="university">Université du Massachusetts</orgName></affiliation></author><author><name sortKey="Wang, Jie" sort="Wang, Jie" uniqKey="Wang J" first="Jie" last="Wang">Jie Wang</name><affiliation wicri:level="4"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Computer Science, University of Massachusetts, 01854, Lowell, MA</wicri:regionArea><placeName><region type="state">Massachusetts</region><settlement type="city">Amherst (Massachusetts)</settlement></placeName><orgName type="university">Université du Massachusetts</orgName></affiliation></author></analytic><monogr></monogr><series><title level="s" type="main" xml:lang="en">Lecture Notes in Computer Science</title><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: Online social networks (OSNs) have become popular platforms for people to interact with each other in the cyber space. Users use OSNs to talk about their daily activities, mood, health status, sports events, travel experiences, political campaigns, entertainment events, and commercial products, among other things. Conversations between users on an OSN site could reflect the current social trends that are of great interest and importance for individuals, businesses, and government agencies alike. In this paper we design and develop a comprehensive system to collect, store, query, and analyze OSN data for effective discovery of online social trends. Our system consists of three parts: (1) an OSN data collection engine; (2) a spatio-temporal database for storing, indexing, and querying data; and (3) a set of analytical tools for online social trend discovery. We demonstrate the effectiveness of our system using a recent result of predicting seasonal flu trends using Twitter data.</div></front></TEI><affiliations><list><country><li>États-Unis</li></country><region><li>Massachusetts</li></region><settlement><li>Amherst (Massachusetts)</li></settlement><orgName><li>Université du Massachusetts</li></orgName></list><tree><country name="États-Unis"><region name="Massachusetts"><name sortKey="Achrekar, Harshavardhan" sort="Achrekar, Harshavardhan" uniqKey="Achrekar H" first="Harshavardhan" last="Achrekar">Harshavardhan Achrekar</name></region><name sortKey="Chen, Cindy" sort="Chen, Cindy" uniqKey="Chen C" first="Cindy" last="Chen">Cindy Chen</name><name sortKey="Fang, Zheng" sort="Fang, Zheng" uniqKey="Fang Z" first="Zheng" last="Fang">Zheng Fang</name><name sortKey="Li, You" sort="Li, You" uniqKey="Li Y" first="You" last="Li">You Li</name><name sortKey="Liu, Benyuan" sort="Liu, Benyuan" uniqKey="Liu B" first="Benyuan" last="Liu">Benyuan Liu</name><name sortKey="Wang, Jie" sort="Wang, Jie" uniqKey="Wang J" first="Jie" last="Wang">Jie Wang</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/PandemieGrippaleV1/Data/Istex/Checkpoint
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000B61 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Istex/Checkpoint/biblio.hfd -nk 000B61 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Sante
|area= PandemieGrippaleV1
|flux= Istex
|étape= Checkpoint
|type= RBID
|clé= ISTEX:9D89A2F3A123D1BBD0B07A34277BC6270F825A96
|texte= A Spatio-Temporal Approach to the Discovery of Online Social Trends
}}
| This area was generated with Dilib version V0.6.34. |  |