Graph databases applications on social media analytics and smart cities / [electronic resource] : editor Christos Tjortjis. - 1 online resource

Includes bibliographical references and index.

From Relational to NoSQL Databases -- Comparison and Popularity. Graph Databases and the Neo4j Use Cases

Dimitrios Rousidis, and Paraskevas Koukaras

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 MÜNGEN

Child Influencers on YouTube: From Collection to Overlapping Community Detection

Maximilian Paul Kißgen, 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



"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"--


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.

9781000996593 100099659X 9781003183532 1003183530 1000996638 9781000996630

10.1201/9781003183532 doi

9781003183532 Taylor & Francis

GBC3G5131 bnb

021192292 Uk




--Data processing.




QA76.9.D32