Graph-based social media analysis

Contributor(s):

Pitas, Ioannis [Editor]

Series: Chapman & Hall/CRC data mining and knowledge discovery seriesPublication details: Boca Raton CRC Press 2016Description: xiv, 424 pISBN:

9781498719049

Subject(s):

DDC classification:

001.4226 G7

Summary: Focused on the mathematical foundations of social media analysis, Graph-Based Social Media Analysis provides a comprehensive introduction to the use of graph analysis in the study of social and digital media. It addresses an important scientific and technological challenge, namely the confluence of graph analysis and network theory with linear algebra, digital media, machine learning, big data analysis, and signal processing. Supplying an overview of graph-based social media analysis, the book provides readers with a clear understanding of social media structure. It uses graph theory, particularly the algebraic description and analysis of graphs, in social media studies. The book emphasizes the big data aspects of social and digital media. It presents various approaches to storing vast amounts of data online and retrieving that data in real-time. It demystifies complex social media phenomena, such as information diffusion, marketing and recommendation systems in social media, and evolving systems. It also covers emerging trends, such as big data analysis and social media evolution. Describing how to conduct proper analysis of the social and digital media markets, the book provides insights into processing, storing, and visualizing big social media data and social graphs. It includes coverage of graphs in social and digital media, graph and hyper-graph fundamentals, mathematical foundations coming from linear algebra, algebraic graph analysis, graph clustering, community detection, graph matching, web search based on ranking, label propagation and diffusion in social media, graph-based pattern recognition and machine learning, graph-based pattern classification and dimensionality reduction, and much more. This book is an ideal reference for scientists and engineers working in social media and digital media production and distribution. It is also suitable for use as a textbook in undergraduate or graduate courses on digital media, social media, or social networks. (https://www.crcpress.com/Graph-Based-Social-Media-Analysis/Pitas/p/book/9781498719049)

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Book	Ahmedabad	Non-fiction	001.4226 G7 (Browse shelf(Opens below))	Available		192285

Total holds: 0

Browsing Ahmedabad shelves, Collection: Non-fiction Close shelf browser (Hides shelf browser)

						Next
	001.4226 F3S4 Signal: understanding what matters in a world of noise	001.4226 G7 Graph-based social media analysis	001.4226 K4D2 Data visualisation: a handbook for data driven design	001.4226 M4L3 Learning tableau: leverage the power of tableau 9.0 to design rich data visualizations and build fully interactive dashboards	001.4226 M4V4 A visual guide to stata graphics	Next

Table of Contents:

1. Graphs in Social and Digital Media
2. Mathematical Preliminaries: Graphs and Matrices
3. Algebraic Graph Analysis
4. Web Search Based on Ranking
5. Label Propagation and Information Diffusion in Graphs
6. Graph-Based Pattern Classification and Dimensionality Reduction
7. Matrix and Tensor Factorization with Recommender System Applications
8. Multimedia Social Search Based on Hypergraph Learning
9. Graph Signal Processing in Social Media
10. Big Data Analytics for Social Networks
11. Semantic Model Adaptation for Evolving Big Social Data
12. Big Graph Storage, Processing and Visualization

Focused on the mathematical foundations of social media analysis, Graph-Based Social Media Analysis provides a comprehensive introduction to the use of graph analysis in the study of social and digital media. It addresses an important scientific and technological challenge, namely the confluence of graph analysis and network theory with linear algebra, digital media, machine learning, big data analysis, and signal processing.

Supplying an overview of graph-based social media analysis, the book provides readers with a clear understanding of social media structure. It uses graph theory, particularly the algebraic description and analysis of graphs, in social media studies.

The book emphasizes the big data aspects of social and digital media. It presents various approaches to storing vast amounts of data online and retrieving that data in real-time. It demystifies complex social media phenomena, such as information diffusion, marketing and recommendation systems in social media, and evolving systems. It also covers emerging trends, such as big data analysis and social media evolution.

Describing how to conduct proper analysis of the social and digital media markets, the book provides insights into processing, storing, and visualizing big social media data and social graphs. It includes coverage of graphs in social and digital media, graph and hyper-graph fundamentals, mathematical foundations coming from linear algebra, algebraic graph analysis, graph clustering, community detection, graph matching, web search based on ranking, label propagation and diffusion in social media, graph-based pattern recognition and machine learning, graph-based pattern classification and dimensionality reduction, and much more.

This book is an ideal reference for scientists and engineers working in social media and digital media production and distribution. It is also suitable for use as a textbook in undergraduate or graduate courses on digital media, social media, or social networks.

(https://www.crcpress.com/Graph-Based-Social-Media-Analysis/Pitas/p/book/9781498719049)

There are no comments on this title.

to post a comment.