國立虎尾科技大學 |

Trends in social network analysis = information propagation, user behavior modeling, forecasting, and vulnerability assessment /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Trends in social network analysis/ edited by Rokia Missaoui, Talel Abdessalem, Matthieu Latapy.
其他題名:	information propagation, user behavior modeling, forecasting, and vulnerability assessment /
其他作者:	Missaoui, Rokia.
出版者:	Cham :Springer International Publishing : : 2017.,
面頁冊數:	xiii, 255 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Data mining. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-53420-6
ISBN:	9783319534206

Trends in social network analysis = information propagation, user behavior modeling, forecasting, and vulnerability assessment /
Trends in social network analysisinformation propagation, user behavior modeling, forecasting, and vulnerability assessment /[electronic resource] :edited by Rokia Missaoui, Talel Abdessalem, Matthieu Latapy. - Cham :Springer International Publishing :2017. - xiii, 255 p. :ill. (some col.), digital ;24 cm. - Lecture notes in social networks,2190-5428. - Lecture notes in social networks..

1. The Perceived Assortativity of Social Networks: Methodological Problems and Solutions -- 2. A Parametric Study to Construct Time-aware Social Profiles -- 3. A Parametric Study to Construct Time-aware Social Profiles -- 4. The DEvOTION Algorithm for Delurking in Social Networks -- 5. Social Engineering Threat Assessment using a Multi-layered Graph-based Model -- 6. Through The Grapevine: A Comparison of News in Microblogs and Traditional Media -- 7. Prediction of Elevated Activity in Online Social Media Using Aggregated and Individualized Models -- 8. Unsupervised Link Prediction Based on Time Frames in Weighted-Directed Citation Networks -- 9. An Approach to Maximize the Influence Spread in Social Networks -- 10. Energy Efficiency Analysis of the Very Fast Decision Tree Algorithm.

The book collects contributions from experts worldwide addressing recent scholarship in social network analysis such as influence spread, link prediction, dynamic network biclustering, and delurking. It covers both new topics and new solutions to known problems. The contributions rely on established methods and techniques in graph theory, machine learning, stochastic modelling, user behavior analysis and natural language processing, just to name a few. This text provides an understanding of using such methods and techniques in order to manage practical problems and situations. Trends in Social Network Analysis: Information Propagation, User Behavior Modelling, Forecasting, and Vulnerability Assessment appeals to students, researchers, and professionals working in the field.

ISBN: 9783319534206

Standard No.: 10.1007/978-3-319-53420-6doiSubjects--Topical Terms:

528622
Data mining.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Trends in social network analysis = information propagation, user behavior modeling, forecasting, and vulnerability assessment /
LDR:02729nam a2200337 a 4500 001 884592
003 DE-He213
005 20170429142734.0
006 m d
007 cr nn 008maaau
008 180530s2017 gw s 0 eng d
020 $a 9783319534206 $q (electronic bk.)
020 $a 9783319534190 $q (paper)
024 7 $a 10.1007/978-3-319-53420-6 $2 doi
035 $a 978-3-319-53420-6
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D343
072 7 $a UNF $2 bicssc
072 7 $a UYQE $2 bicssc
072 7 $a COM021030 $2 bisacsh
082 0 4 $a 006.312 $2 23
090 $a QA76.9.D343 $b T794 2017
245 0 0 $a Trends in social network analysis $h [electronic resource] : $b information propagation, user behavior modeling, forecasting, and vulnerability assessment / $c edited by Rokia Missaoui, Talel Abdessalem, Matthieu Latapy.
260 $a Cham : $c 2017. $b Springer International Publishing : $b Imprint: Springer,
300 $a xiii, 255 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in social networks, $x 2190-5428
505 0 $a 1. The Perceived Assortativity of Social Networks: Methodological Problems and Solutions -- 2. A Parametric Study to Construct Time-aware Social Profiles -- 3. A Parametric Study to Construct Time-aware Social Profiles -- 4. The DEvOTION Algorithm for Delurking in Social Networks -- 5. Social Engineering Threat Assessment using a Multi-layered Graph-based Model -- 6. Through The Grapevine: A Comparison of News in Microblogs and Traditional Media -- 7. Prediction of Elevated Activity in Online Social Media Using Aggregated and Individualized Models -- 8. Unsupervised Link Prediction Based on Time Frames in Weighted-Directed Citation Networks -- 9. An Approach to Maximize the Influence Spread in Social Networks -- 10. Energy Efficiency Analysis of the Very Fast Decision Tree Algorithm.
520 $a The book collects contributions from experts worldwide addressing recent scholarship in social network analysis such as influence spread, link prediction, dynamic network biclustering, and delurking. It covers both new topics and new solutions to known problems. The contributions rely on established methods and techniques in graph theory, machine learning, stochastic modelling, user behavior analysis and natural language processing, just to name a few. This text provides an understanding of using such methods and techniques in order to manage practical problems and situations. Trends in Social Network Analysis: Information Propagation, User Behavior Modelling, Forecasting, and Vulnerability Assessment appeals to students, researchers, and professionals working in the field.
650 0 $a Data mining. $3 528622
650 0 $a Online social networks. $3 565357
650 1 4 $a Computer Science. $3 593922
650 2 4 $a Data Mining and Knowledge Discovery. $3 677765
650 2 4 $a Computational Social Sciences. $3 1141127
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 593924
650 2 4 $a Database Management. $3 669820
650 2 4 $a Applications of Graph Theory and Complex Networks. $3 1113468
700 1 $a Missaoui, Rokia. $3 1141124
700 1 $a Abdessalem, Talel. $3 1141125
700 1 $a Latapy, Matthieu. $3 1141126
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a Lecture notes in social networks. $3 1024533
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-53420-6
950 $a Computer Science (Springer-11645)