TY - BOOK AU - Tjortjis,Christos TI - Graph databases: applications on social media analytics and smart cities SN - 9781000996593 AV - QA76.9.D32 PY - 2023///] CY - Boca Raton PB - CRC Press KW - Graph databases KW - Database management KW - Graph theory KW - Data processing KW - COMPUTERS / Database Management / Data Mining KW - bisacsh KW - COMPUTERS / Computer Graphics / Game Programming & Design KW - MATHEMATICS / Probability & Statistics / General N1 - Includes bibliographical references and index;
From Relational to NoSQL Databases -- Comparison and Popularity. Graph Databases and the Neo4j Use Cases
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A Comparative Survey of Graph Databases and Software for Social Network Analytics: The Link Prediction Perspective
Nikos Kanakaris, Dimitrios Michail, and Iraklis Varlamis
A Survey on Neo4j Use Cases in Social Media: Exposing New Capabilities for Knowledge Extraction
Paraskevas Koukaras
Combining and Working with Multiple Social Networks on a Single Graph
Ahmet Anil MÃNGEN
Child Influencers on YouTube: From Collection to Overlapping Community Detection
Maximilian Paul KiÃgen, Joachim Allgaier, and Ralf Klamma
Managing Smart City Linked Data with Graph Databases: An Integrative Literature Review
Anestis Kousis
Graph Databases in Smart City Applications -- Using Neo4j and Machine Learning for Energy Load Forecasting
Aristeidis Mystakidis
A Graph-Based Data Model for Digital Health Applications
Jero Schäfer and Lena Wiese
N2 - "Cut the Gordian Knot of the Social Media Data chaos with the power of Graph Databases. Learn how to combine and migrate data from multiple sources to Neo4j. Hands-on examples with COVID-19 uses cases and social media data that will help you to learn how to crawl and mine them, how to load data them and how to migrate data from relational databases to graph databases, and finally how to utilize the tools of Neo4j to make predictions"-- UR - https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3667745 ER -