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Books on the topic 'Graph Analytics'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Bader, David A. Massive Graph Analytics. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003033707.

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2

Cheramangalath, Unnikrishnan, Rupesh Nasre, and Y. N. Srikant. Distributed Graph Analytics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41886-1.

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3

Gunturi, Venkata M. V., and Shashi Shekhar. Spatio-Temporal Graph Data Analytics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67771-2.

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4

Yan, Da, Yuanyuan Tian, and James Cheng. Systems for Big Graph Analytics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58217-7.

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5

Martella, Claudio, Roman Shaposhnik, and Dionysios Logothetis. Practical Graph Analytics with Apache Giraph. Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-1251-6.

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6

Qin, Lu, Wenjie Zhang, Ying Zhang, et al., eds. Software Foundations for Data Interoperability and Large Scale Graph Data Analytics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61133-0.

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7

Leithold, Louis. Before calculus: Functions, graphs, and analyticgeometry. 3rd ed. HarperCollins College Publishers, 1994.

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8

Leithold, Louis. Before calculus: Functions, graphs, and analytic geometry. Harper & Row, 1985.

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9

Isakov, Vladimir. Speak the language of schemes. INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1860649.

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Schematization and visualization are the necessary means to ensure the activity of a modern specialist. Schematization allows you to highlight the main thing in an object, to discover its constituent elements, to show their relationship, gives impetus to the construction of conceptual approaches. Visualization "dresses" schematic concepts in a bright, expressive artistic and graphic form. The handbook provides descriptions of the most popular means of analytical graphics - maps, graphs, tables, graphs, diagrams, flowcharts (algorithms), chronolents, maps, methodological schemes, etc. The ways

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10

Ishiwata, Satoshi. Geometric and analytic properties in the behavior of random walks on nilpotent covering graphs. Tohoku University, 2004.

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11

Cai, Zongxi. Deng zhou wen ti. Ke xue chu ban she, 2002.

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12

service), SpringerLink (Online, ed. Perspectives on Projective Geometry: A Guided Tour Through Real and Complex Geometry. Springer-Verlag Berlin Heidelberg, 2011.

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13

Bader, David A. Massive Graph Analytics. Taylor & Francis Group, 2022.

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14

Bader, David A. Massive Graph Analytics. CRC Press LLC, 2022.

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15

Bader, David A. Massive Graph Analytics. Taylor & Francis Group, 2022.

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16

Massive Graph Analytics. Taylor & Francis Group, 2022.

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17

Bader, David A. Massive Graph Analytics. Taylor & Francis Group, 2022.

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18

Tian, Yuanyuan, Da Yan, and Yingyi Bu. Big Graph Analytics Platforms. Now Publishers Inc, 2017.

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19

Shekhar, Shashi, and Venkata M. V. Gunturi. Spatio-Temporal Graph Data Analytics. Springer, 2018.

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20

Cheng, James, Yuanyuan Tian, and Da Yan. Systems for Big Graph Analytics. Springer International Publishing AG, 2017.

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21

Shekhar, Shashi, and Venkata M. V. Gunturi. Spatio-Temporal Graph Data Analytics. Springer, 2019.

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22

Shaposhnik, Roman. Practical Graph Analytics with Apache Giraph. Apress, 2015.

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23

Cheramangalath, Unnikrishnan, Rupesh Nasre, and Y. N. Srikant. Distributed Graph Analytics: Programming, Languages, and Their Compilation. Springer, 2020.

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24

Cheramangalath, Unnikrishnan, Rupesh Nasre, and Y. N. Srikant. Distributed Graph Analytics: Programming, Languages, and Their Compilation. Springer International Publishing AG, 2021.

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25

Armbruster, Maximilian. Data Analytics IT Analytics Data Scientist: Graph Paper 1 Cm with 120 Pages. Independently Published, 2020.

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26

Armbruster, Maximilian. Analytics IT Data Analytics Data Analyst: Graph Paper 1 Cm with 120 Pages. Independently Published, 2020.

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27

Raj, Pethuru, Abhishek Kumar, Vicente García Díaz, and Nachamai Muthuraman, eds. Demystifying Graph Data Science: Graph algorithms, analytics methods, platforms, databases, and use cases. Institution of Engineering and Technology, 2022. http://dx.doi.org/10.1049/pbpc048e.

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28

Sundar, Nachamai Muthuraman, Pethuru Raj, Abhishek Kumar, and Vicente García Díaz. Demystifying Graph Data Science: Graph Algorithms, Analytics Methods, Platforms, Databases, and Use Cases. Institution of Engineering & Technology, 2022.

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29

Sundar, Nachamai Muthuraman, Pethuru Raj, Abhishek Kumar, and Vicente García Díaz. Demystifying Graph Data Science: Graph Algorithms, Analytics Methods, Platforms, Databases, and Use Cases. Institution of Engineering & Technology, 2022.

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30

CPA, Tim Richmond. I Drew a Graph: First Steps Towards Analytics Through Visualization. Independently Published, 2020.

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31

Tjortjis, Christos. Graph Databases: Applications on Social Media Analytics and Smart Cities. Taylor & Francis Group, 2023.

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32

Tjortjis, Christos. Graph Databases: Applications on Social Media Analytics and Smart Cities. Taylor & Francis Group, 2023.

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33

Tjortjis, Christos. Graph Databases: Applications on Social Media Analytics and Smart Cities. Taylor & Francis Group, 2023.

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34

Hands-On Graph Analytics with Neo4j: Perform Graph Processing and Visualization Techniques Using Connected Data Across Your Enterprise. Packt Publishing, Limited, 2020.

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35

Cancelled Pelga'15: 1st Workshop on Performance Engineering for Large-Scale Graph Analytics. Association for Computing Machinery, 2015.

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36

Nguyen, Phuc, Xinyu Chang, and Victor Lee. Graph-Powered Analytics and Machine Learning with TigerGraph: Driving Business Outcomes with Connected Data. O'Reilly Media, Incorporated, 2023.

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37

Big Data Analytics: From Strategic Planning to Enterprise Integration with Tools, Techniques, NoSQL, and Graph. Elsevier Science & Technology Books, 2013.

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38

Loshin, David. Big Data Analytics: From Strategic Planning to Enterprise Integration with Tools, Techniques, NoSQL, and Graph. Elsevier Science & Technology Books, 2013.

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39

Schneider, Saundra K., and William G. Jacoby. Graphical Displays for Public Opinion Research. Edited by Lonna Rae Atkeson and R. Michael Alvarez. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190213299.013.10.

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This chapter takes steps toward promoting the effective use of graphical displays in journal articles and research monographs on public opinion and survey research. It provides specific advice and guidelines about determining when a graph would be useful for communicating quantitative information; features to consider in selecting a graph for displaying data or analytic results; and characteristics and details associated with specific types of graphs that help to maximize the information they convey to their audience. The overall objective is to encourage survey researchers and public opinion

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40

Mandic, Danilo, Ljubisa Stankovic, and Milos Dakovic. Data Analytics on Graphs. Now Publishers, 2021.

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41

Tatong, Walapa. Molecular connectivity: An application of chemical graph theory. 1985.

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42

S, Gorle R. G. Grapho - Analytical Science. Lulu Press, Inc., 2012.

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43

Raghavendra, Gorle. Grapho - Analytical Science. Lulu Press, Inc., 2012.

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44

Peng, You, Hiroyuki Kato, Ying Zhang, Qin Lu, and Wenjie Zhang. Software Foundations for Data Interoperability and Large Scale Graph Data Analytics: 4th International Workshop, SFDI 2020, and 2nd International Workshop, LSGDA 2020, Held in Conjunction with VLDB 2020, Tokyo, Japan, September 4, Proceedings. Springer International Publishing AG, 2020.

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45

McNulty, Keith. Handbook of Graphs and Networks in People Analytics. Taylor & Francis Group, 2022.

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46

Handbook of Graphs and Networks in People Analytics. Taylor & Francis Group, 2022.

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47

Before calculus: Functions, graphs, and analytic geometry. 2nd ed. Harper & Row, 1989.

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48

Gerber. Before Calculus: Functions, Graphs and Analytic Geometry. Scott Foresman & Co, 1994.

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49

Before calculus: Functions, graphs, and analytic geometry. 3rd ed. HarperCollins College Publishers, 1994.

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50

Munem, M. A., J. P. Yizze, and Munem-Yizze. Precalculus: Functions and Graphs. 6th ed. Kendall/Hunt Publishing Company, 2000.

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