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Trends in social network analysisinf...

Abdessalem, Talel.

Trends in social network analysisinformation propagation, user behavior modeling, forecasting, and vulnerability assessment /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Trends in social network analysisedited 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$q(electronic bk.)

Trends in social network analysisinformation 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$q(electronic bk.)

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

184440
Data mining.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Trends in social network analysisinformation propagation, user behavior modeling, forecasting, and vulnerability assessment /
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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.
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