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Christos Tjortjis is an Associate Professor in Knowledge Discovery and Software Engineering systems. He is Dean of the School of Science and Technology at the International Hellenic University, and the Programme Director for the MSc in Data Science, the MSc in ICT Systems and the MSc in Smart Cities and Communities courses. He holds a Deng (Hons) in Computer Engineering and Informatics (5-year studies) from the Department of Computer Engineering & Informatics at the University of Patras, and a BSc (Hons) in Law (4-year studies) from the Department of Law at the Democritus University of Thrace, in Greece. He also holds an MPhil in Computation from UMIST and a PhD in Informatics from the University of Manchester, UK. His research focus is on data mining and analytics. He has published over 100 papers in international refereed journals and conferences. He leads the Data Mining and Analytics research group (DaMA). He is Associate Editor for the IET Smart Cities Journal, and Editorial Review Board Member for the International Journal of Information Retrieval Research.

"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"-- Provided by publisher.

Includes bibliographical references and index.

<P><STRONG>From Relational to NoSQL Databases -- Comparison and Popularity. Graph Databases and the Neo4j Use Cases</STRONG></P><I><P>Dimitrios Rousidis,</I> and<I> Paraskevas Koukaras</P></I><B><P>A Comparative Survey of Graph Databases and Software for Social Network Analytics: The Link Prediction Perspective</P></B><I><P>Nikos Kanakaris, Dimitrios Michail, </I>and <I>Iraklis Varlamis</P></I><B><P>A Survey on Neo4j Use Cases in Social Media: Exposing New Capabilities for Knowledge Extraction</P></B><I><P>Paraskevas Koukaras</P></I><B><P>Combining and Working with Multiple Social Networks on a Single Graph</P></B><I><P>Ahmet Anil MÜNGEN</P></I><B><P>Child Influencers on YouTube: From Collection to Overlapping Community Detection</P></B><I><P>Maximilian Paul Kißgen, Joachim Allgaier, </I>and<I> Ralf Klamma</P></I><B><P>Managing Smart City Linked Data with Graph Databases: An Integrative Literature Review</P></B><I><P>Anestis Kousis</P></I><B><P>Graph Databases in Smart City Applications -- Using Neo4j and Machine Learning for Energy Load Forecasting</P></B><I><P>Aristeidis Mystakidis</P></I><B><P>A Graph-Based Data Model for Digital Health Applications</P></B><I><P>Jero Schäfer </I>and <I>Lena Wiese</P></I>