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

Prediction and inference from social...

Kawash, Jalal.

FindBook

Google Book

Amazon

博客來

Prediction and inference from social networks and social media

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Prediction and inference from social networks and social media/ edited by Jalal Kawash, Nitin Agarwal, Tansel Ozyer.
其他作者:	Kawash, Jalal.
出版者:	Cham :Springer International Publishing : : 2017.,
面頁冊數:	ix, 225 p. :ill., digital ;24 cm.
內容註:	Chapter1. Having Fun?: Personalized Activity-based Mood Prediction in Social Media -- Chapter2. Automatic Medical Image Multilingual Indexation through a Medical Social Network -- Chapter3. The Significant Effect of Overlapping Community Structures in Signed Social Networks -- Chapter4. Extracting Relations Between Symptoms by Age-Frame Based Link Prediction -- Chapter5. Link Prediction by Network Analysis -- Chapter6. Structure-Based Features for Predicting the Quality of Articles in Wikipedia -- Chapter7. Predicting Collective Action from Micro-Blog Data -- Chapter8. Discovery of Structural and Temporal Patterns in MOOC Discussion Forums -- Chapter9. Diffusion Process in a Multi-Dimension Networks: Generating, Modelling and Simulation.
Contained By:	Springer eBooks
標題:	Social prediction. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-51049-1
ISBN:	9783319510491

Prediction and inference from social networks and social media
Prediction and inference from social networks and social media[electronic resource] /edited by Jalal Kawash, Nitin Agarwal, Tansel Ozyer. - Cham :Springer International Publishing :2017. - ix, 225 p. :ill., digital ;24 cm. - Lecture notes in social networks,2190-5428. - Lecture notes in social networks..

Chapter1. Having Fun?: Personalized Activity-based Mood Prediction in Social Media -- Chapter2. Automatic Medical Image Multilingual Indexation through a Medical Social Network -- Chapter3. The Significant Effect of Overlapping Community Structures in Signed Social Networks -- Chapter4. Extracting Relations Between Symptoms by Age-Frame Based Link Prediction -- Chapter5. Link Prediction by Network Analysis -- Chapter6. Structure-Based Features for Predicting the Quality of Articles in Wikipedia -- Chapter7. Predicting Collective Action from Micro-Blog Data -- Chapter8. Discovery of Structural and Temporal Patterns in MOOC Discussion Forums -- Chapter9. Diffusion Process in a Multi-Dimension Networks: Generating, Modelling and Simulation.

This book addresses the challenges of social network and social media analysis in terms of prediction and inference. The chapters collected here tackle these issues by proposing new analysis methods and by examining mining methods for the vast amount of social content produced. Social Networks (SNs) have become an integral part of our lives; they are used for leisure, business, government, medical, educational purposes and have attracted billions of users. The challenges that stem from this wide adoption of SNs are vast. These include generating realistic social network topologies, awareness of user activities, topic and trend generation, estimation of user attributes from their social content, and behavior detection. This text has applications to widely used platforms such as Twitter and Facebook and appeals to students, researchers, and professionals in the field.

ISBN: 9783319510491

Standard No.: 10.1007/978-3-319-51049-1doiSubjects--Topical Terms:

547493
Social prediction.

LC Class. No.: HM901

Dewey Class. No.: 303.49

Prediction and inference from social networks and social media
LDR:02677nmm a2200337 a 4500 001 2092568
003 DE-He213
005 20170317151720.0
006 m d
007 cr nn 008maaau
008 171117s2017 gw s 0 eng d
020 $a 9783319510491 $q (electronic bk.)
020 $a 9783319510484 $q (paper)
024 7 $a 10.1007/978-3-319-51049-1 $2 doi
035 $a 978-3-319-51049-1
040 $a GP $c GP
041 0 $a eng
050 4 $a HM901
072 7 $a UNF $2 bicssc
072 7 $a UYQE $2 bicssc
072 7 $a COM021030 $2 bisacsh
082 0 4 $a 303.49 $2 23
090 $a HM901 $b .P923 2017
245 0 0 $a Prediction and inference from social networks and social media $h [electronic resource] / $c edited by Jalal Kawash, Nitin Agarwal, Tansel Ozyer.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a ix, 225 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in social networks, $x 2190-5428
505 0 $a Chapter1. Having Fun?: Personalized Activity-based Mood Prediction in Social Media -- Chapter2. Automatic Medical Image Multilingual Indexation through a Medical Social Network -- Chapter3. The Significant Effect of Overlapping Community Structures in Signed Social Networks -- Chapter4. Extracting Relations Between Symptoms by Age-Frame Based Link Prediction -- Chapter5. Link Prediction by Network Analysis -- Chapter6. Structure-Based Features for Predicting the Quality of Articles in Wikipedia -- Chapter7. Predicting Collective Action from Micro-Blog Data -- Chapter8. Discovery of Structural and Temporal Patterns in MOOC Discussion Forums -- Chapter9. Diffusion Process in a Multi-Dimension Networks: Generating, Modelling and Simulation.
520 $a This book addresses the challenges of social network and social media analysis in terms of prediction and inference. The chapters collected here tackle these issues by proposing new analysis methods and by examining mining methods for the vast amount of social content produced. Social Networks (SNs) have become an integral part of our lives; they are used for leisure, business, government, medical, educational purposes and have attracted billions of users. The challenges that stem from this wide adoption of SNs are vast. These include generating realistic social network topologies, awareness of user activities, topic and trend generation, estimation of user attributes from their social content, and behavior detection. This text has applications to widely used platforms such as Twitter and Facebook and appeals to students, researchers, and professionals in the field.
650 0 $a Social prediction. $3 547493
650 0 $a Social networks. $3 556983
650 0 $a Social media. $3 786190
650 1 4 $a Computer Science. $3 626642
650 2 4 $a Data Mining and Knowledge Discovery. $3 898250
650 2 4 $a Applications of Graph Theory and Complex Networks. $3 3134760
650 2 4 $a Computers and Society. $3 891253
650 2 4 $a User Interfaces and Human Computer Interaction. $3 892554
700 1 $a Kawash, Jalal. $3 2118798
700 1 $a Agarwal, Nitin. $3 2059244
700 1 $a Ozyer, Tansel. $3 1565900
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Lecture notes in social networks. $3 2058983
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-51049-1
950 $a Computer Science (Springer-11645)