Social Media Mining



Download free course Social Media Mining, pdf file on 382 pages by Reza Zafarani, Mohammad Ali Abbasi, Huan Liu.
The growth of social media over the last decade has revolutionized the way individuals interact and industries conduct business. Individuals produce data at an unprecedented rate by interacting, sharing, and consuming content through social media. Understanding and processing this new type of data to glean actionable patterns presents challenges and opportunities for interdisciplinary research, novel algorithms, and tool development. Social Media Mining integrates social media, social network analysis, and data mining to provide a convenient and coherent platform for students, practitioners, researchers, and project managers to understand the basics and potentials of social media mining. It introduces the unique problems arising from social media data and presents fundamental concepts, emerging issues, and effective algorithms for network analysis and data mining. Suitable for use in advanced undergraduate and beginning graduate courses as well as professional short courses, the text contains exercises of different degrees of difficulty that improve understanding and help apply concepts, principles, and methods in various scenarios of social media mining.

Table of contents

  • Introduction
  • Essentials
  • Graph Essentials
  • Network Measures
  • Network Models
  • Data Mining Essentials
  • Communities and Interactions
  • Community Analysis
  • Information Diffusion in SocialMedia
  • Applications
  • Influence and Homophily
  • Recommendation in Social Media
  • Behavior Analytics
Pages : 382
Size : 5.0 MB
File type : PDF
Downloads: 55
Created: 2022-02-03
License: Open Publication License
Author(s): Reza Zafarani, Mohammad Ali Abbasi, Huan Liu
Social Media Mining

Others Computer science Tutorials

Learning R

Computation and the Humanities

Node.js Notes for Professionals

Docker Succinctly

Azure Cognitive Services Succinctly

Others related eBooks about Social Media Mining

What Is Data Science?

Download free course What Is Data Science?, pdf file on 17 pages by Mike Loukides....

A Graduate Course in Applied Cryptography

Cryptography is an indispensable tool used to protect information in computing systems. It..., download free Cryptography tutorial in PDF (900 pages) created by Dan Boneh ....

Algorithms

Download free course Algorithms, pdf file on 472 pages by by Jeff Erickson....

Essential Bash

This book written to provide clear and concise explanation of topics for programmers both starting to learn the Bash programming as well as those diving in more complex topics. Most examples are linked to online playground that allows you to change the code and re-run it....

Intel Xeon Phi Coprocessor Architecture and Tools

Download free course Intel Xeon Phi Coprocessor Architecture and Tools, pdf file on 220 pages by Rezaur Rahman....

Computational and Inferential Thinking: The Foundations of Data Science

Data Science is about drawing useful conclusions from large and diverse data sets through exploration, prediction, and inference. Our primary tools for exploration are visualizations and descriptive statistics, for prediction are machine learning and optimization, and for inference are statistical t...

Enhanced Living Environments

Download free course Enhanced Living Environments, pdf file on 339 pages by Ivan Ganchev, Nuno Garcia, Ciprian Dobre, Constandinos Mavromoustakis, Rossitza Goleva....

Computing Fundamentals: The Theory and Practice of Software Design with BlackBox Component Builder

...

Yet Another Introductory Number Theory Textbook (Cryptology Emphasis Version)

This introductory number theory textbook has a particular emphasis on connections to cryptology. ...

Compiler Design: Theory, Tools, and Examples

...