國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

From security to community detection...

Karampelas, Panagiotis.

From security to community detection in social networking Platforms

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	From security to community detection in social networking Platformsedited by Panagiotis Karampelas, Jalal Kawash, Tansel Ozyer.
其他作者:	Karampelas, Panagiotis.
出版者:	Cham :Springer International Publishing :2019.
面頁冊數:	x, 237 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Social networksSecurity measures.
電子資源:	https://doi.org/10.1007/978-3-030-11286-8
ISBN:	9783030112868$q(electronic bk.)

From security to community detection in social networking Platforms
From security to community detection in social networking Platforms[electronic resource] /edited by Panagiotis Karampelas, Jalal Kawash, Tansel Ozyer. - Cham :Springer International Publishing :2019. - x, 237 p. :ill., digital ;24 cm. - Lecture notes in social networks,2190-5428. - Lecture notes in social networks..

Chapter1. Real-world application of ego-network analysis to evaluate environmental management structures -- Chapter2. An Evolutionary Approach for Detecting Communities in Social Networks -- Chapter3. On Detecting Multidimensional Communities -- Chapter4. Derivatives in Graph Space with Applications for Finding and Tracking Local Communities -- Chapter5. Graph Clustering Based on Attribute-aware Graph Embedding -- Chapter6. On Counting Triangles through Edge Sampling in Large Dynamic Graphs -- Chapter7. Generation and Corruption of Semi-structured and Structured Data -- Chapter8. A Data Science Approach to Predict the Impact of Collateralization on Systemic Risk -- Chapter9. Mining actionable information from security forums: the case of malicious IP addresses -- Chapter10. Temporal Methods to Detect Content-Based Anomalies in Social Media.

This book focuses on novel and state-of-the-art scientific work in the area of detection and prediction techniques using information found generally in graphs and particularly in social networks. Community detection techniques are presented in diverse contexts and for different applications while prediction methods for structured and unstructured data are applied to a variety of fields such as financial systems, security forums, and social networks. The rest of the book focuses on graph-based techniques for data analysis such as graph clustering and edge sampling. The research presented in this volume was selected based on solid reviews from the IEEE/ACM International Conference on Advances in Social Networks, Analysis, and Mining (ASONAM '17) Chapters were then improved and extended substantially, and the final versions were rigorously reviewed and revised to meet the series standards. This book will appeal to practitioners, researchers and students in the field.

ISBN: 9783030112868$q(electronic bk.)

Standard No.: 10.1007/978-3-030-11286-8doiSubjects--Topical Terms:

836085
Social networks
--Security measures.

LC Class. No.: HM741

Dewey Class. No.: 302.3

From security to community detection in social networking Platforms
LDR:02917nmm a2200349 a 4500 001 554405
003 DE-He213
005 20190409081417.0
006 m d
007 cr nn 008maaau
008 191118s2019 gw s 0 eng d
020 $a 9783030112868$q(electronic bk.)
020 $a 9783030112851$q(paper)
024 7 $a 10.1007/978-3-030-11286-8 $2 doi
035 $a 978-3-030-11286-8
040 $a GP $c GP
041 0 $a eng
050 4 $a HM741
072 7 $a UNF $2 bicssc
072 7 $a COM021030 $2 bisacsh
072 7 $a UNF $2 thema
072 7 $a UYQE $2 thema
082 0 4 $a 302.3 $2 23
090 $a HM741 $b .F931 2019
245 0 0 $a From security to community detection in social networking Platforms $h [electronic resource] / $c edited by Panagiotis Karampelas, Jalal Kawash, Tansel Ozyer.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a x, 237 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in social networks, $x 2190-5428
505 0 $a Chapter1. Real-world application of ego-network analysis to evaluate environmental management structures -- Chapter2. An Evolutionary Approach for Detecting Communities in Social Networks -- Chapter3. On Detecting Multidimensional Communities -- Chapter4. Derivatives in Graph Space with Applications for Finding and Tracking Local Communities -- Chapter5. Graph Clustering Based on Attribute-aware Graph Embedding -- Chapter6. On Counting Triangles through Edge Sampling in Large Dynamic Graphs -- Chapter7. Generation and Corruption of Semi-structured and Structured Data -- Chapter8. A Data Science Approach to Predict the Impact of Collateralization on Systemic Risk -- Chapter9. Mining actionable information from security forums: the case of malicious IP addresses -- Chapter10. Temporal Methods to Detect Content-Based Anomalies in Social Media.
520 $a This book focuses on novel and state-of-the-art scientific work in the area of detection and prediction techniques using information found generally in graphs and particularly in social networks. Community detection techniques are presented in diverse contexts and for different applications while prediction methods for structured and unstructured data are applied to a variety of fields such as financial systems, security forums, and social networks. The rest of the book focuses on graph-based techniques for data analysis such as graph clustering and edge sampling. The research presented in this volume was selected based on solid reviews from the IEEE/ACM International Conference on Advances in Social Networks, Analysis, and Mining (ASONAM '17) Chapters were then improved and extended substantially, and the final versions were rigorously reviewed and revised to meet the series standards. This book will appeal to practitioners, researchers and students in the field.
650 0 $a Social networks $x Security measures. $3 836085
650 0 $a Social media. $3 465899
650 1 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Computational Social Sciences. $3 773096
650 2 4 $a Big Data/Analytics. $3 742047
650 2 4 $a Computer Appl. in Social and Behavioral Sciences. $3 274376
650 2 4 $a Complex Systems. $3 558544
700 1 $a Karampelas, Panagiotis. $3 741997
700 1 $a Kawash, Jalal. $3 704411
700 1 $a Ozyer, Tansel. $3 558016
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Lecture notes in social networks. $3 679300
856 4 0 $u https://doi.org/10.1007/978-3-030-11286-8
950 $a Computer Science (Springer-11645)