[AISWorld] Social Media Analytics using Graph Databases- Call for chapters

[Christos Tjortjis]

Apologies for cross posting. This  call is a readable format. Please 
ignore my previous post

*Call for chapters*

Abstracts due: February 8th, 2021
Chapters due: May 31st, 2021

https://www.ihu.edu.gr/tjortjis/Call%20for%20chapters.pdf

We are in the process of editing a book on:
Book title: Social Media Analytics using Graph Databases (TBC)
Publisher: Science Publishers and CRC Press, Taylor & Francis Group

We kindly invite you to submit your work in the form of a book chapter 
abstract initially, followed by chapter proposals after screening and 
review.

Objective and Short Description of the Book
With Facebook having 2 billion active users, YouTube following with 1.5 
billion, Instagram 800 million and Twitter 330 million, the amount of 
data published daily is excessive. In 2020 it was estimated that 500 
million tweets were published daily, 4.5 billion posts were liked daily, 
there were 17 billion posts with location tracking in Facebook, and 350 
million uploaded daily, with the accumulated number of uploaded photos 
reaching 250 billion. Every minute 500 hours of new video content is 
uploaded in YouTube, meaning that 82,2 years of video content is 
uploaded daily. In Instagram 95 million photos and videos are being 
uploaded daily. The importance of gathering such rich data, often called 
“the digital gold rush”, processing it and retrieving information is vital.
This practical book aims at combining various state-of-the-art tools, 
technologies and techniques to aid understanding and better utilizing 
the power of Social Media Analytics, Data Mining and Graph Databases. 
The proposed book will strive to support its readers students, 
researchers, developers, and simple users involved with Data Science and 
Graph Databases to master the notions, concepts, techniques, and tools 
necessary to extract data from social media that facilitate information 
acquisition, management and prediction.
The provisional contents of Social Media Analytics with Graph Databases 
will indicatively showcase:
* Social Media analytics with hands on real-world examples
* Data mining tools for optimized knowledge acquisition
* How to crawl and mine data from Social Media
* The advantages of Graph Databases
* Graph Databases use cases
   o Understand common patterns and graph components
   o Model data and find solutions using code-level examples written in 
Python, SQL and Cypher query language
   o Migrating data from Relational to Graph Databases
   o Use analytical techniques and algorithms to mine Graph Database 
information

Suggested Topics for Book Chapters
The recommended topics for book chapters include, but are not limited to:
1. Social Media Statistics
2. Relational vs. NoSQL Databases
3. Information Network modeling, NoSQL and Machine Learning
4. Graph Databases Literature Review
5. Migration from RD databases to Neo4j
6. Twitter Domain specific data crawling
7. Sentiment Analysis with Graph Databases
8. Forecasting with Graph Databases
9. Data Mining and Forecasting utilizing regression models

Important Dates
Abstract proposal submission: February 8th. 2021
Initial shortlist with feedback to authors: March 28th, 2021
Book chapter deadline: May 31st, 2021
Book chapter reviews: July 26th, 2021
Camera ready chapters: September 13th, 2021

Please submit a book chapter abstract proposal consisting of:
A) A short title
B) List of author(s), affiliation(s), contact details including email, 
ORCID number(s)
C) An abstract of up to 150-200 words for the proposed chapter
D) A short description of the proposed chapter and its contents, of up 
to 400 words
E) A brief CV of up to 200 words per author

This book intends to provide a concise coverage of Social Media 
Analytics utilizing Graph Databases. Each of the submitted chapters must 
act as a complete, standalone section and must be original.  They should 
not have been published anywhere else and should not be simultaneously 
submitted anywhere else for publication.

For queries and chapter abstract proposal submission, kindly send an 
email to the editor, with subject: “Social Media Analytics using Graph 
Databases” at: c.tjortjis at ihu.edu.gr
Looking forward to receiving your submissions.

-- 
Christos Tjortjis | Associate Professor
Deputy Head, Dept. of Science and Technology | International Hellenic University



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