Massive graph analytics
"Expertise in massive scale graph analytics is key for solving real-world grand challenges from health to sustainability to detecting insider threats, cyber defense, and more. Massive Graph Analytics provides a comprehensive introduction to massive graph analytics, featuring contributions from thought leaders across academia, industry, and government. The book will be beneficial to students, researchers and practitioners, in academia, national laboratories, and industry, who wish to learn about…
Read More ↓Title Statements
- Full title :Massive graph analytics / edited by David A. Bader.
Summary
"Expertise in massive scale graph analytics is key for solving real-world grand challenges from health to sustainability to detecting insider threats, cyber defense, and more. Massive Graph Analytics provides a comprehensive introduction to massive graph analytics, featuring contributions from thought leaders across academia, industry, and government. The book will be beneficial to students, researchers and practitioners, in academia, national laboratories, and industry, who wish to learn about the state-of-the-art algorithms, models, frameworks, and software in massive scale graph analytics"--
Read More ↓Edition Statements
- Publication Date:©2022
- Edition:First edition
Publication Statements
- Publisher(s):CRC Press, Taylor & Francis Group
- Place of Publication:Boca Raton
- Language:eng
- Publication Date:©2022
The Physical Object
- Description:xxv, 603 pages : : illustrations (black and white) ; : 27 cm.
Edition Identifiers
- ISBN:9780367464127, 0367464128, 9781032169231, 1032169230
- oclc:on1264718904
- LC Classification:QA166
- Dewey Decimal:511/.5
Table of Contents
A work-efficient parallel breadth-first search algorithm (or how to cope with the nondeterminism of reducers) / Charles E. Leiserson and Tao B. Schardl -- Multi-objective shortest paths / Stephan Erb, Moritz Kobitzsch, Lawrence Mandow, and Peter Sanders -- Multicore algorithms for graph connectivity problems / George M. Slota, Sivasankaran Rajamanickam, and Kamesh Madduri -- Distributed memory parallel algorithms for massive graphs / Maksudul Alam, Shaikh Arifuzzaman, Hasanuzzaman Bhuiyan, Maleq Khan, V.S. Anil Kumar, and Madhav Marathe -- Efficient multi-core algorithms for computing spanning forests and connected components / Fredrik Manne, Md. Mostofa Ali Patwary -- Massive-scale distributed triangle computation and applications / Geoffrey Sanders, Roger Pearce, Benjamin W. Priest, Trevor Steil -- Computing top-k closeness centrality in fully-dynamic graphs / Eugenio Angriman, Patrick Bisenius, Elisabetta Bergamini, Henning Meyerhenke -- Ordering heuristics for parallel graph coloring / William Hasenplaugh, Tim Kaler, Tao B. Schardl, and Charles E. Leiserson -- Partitioning trillion edge graphs / George M. Slota, Karen Devine, Sivasankaran Rajamanickam, Kamesh Madduri -- New ph…
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