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Mastering Social Media Mining with Python

Your social media is filled with a wealth of hidden data – unlock it with the power of Python. Transform your understanding of your clients and customers when you use Python to solve the problems of understanding consumer behavior and turning raw data into actionable customer insights.

This book will help you acquire and analyze data from leading social media sites. It will show you how to employ scientific Python tools to mine popular social websites such as Facebook, Twitter, Quora, and more. Explore the Python libraries used for social media mining, and get the tips, tricks, and insider insight you need to make the most of them. Discover how to develop data mining tools that use a social media API, and how to create your own data analysis projects using Python for clear insight from your social data.

Centralized to Decentralized Social Networks—Factors That Matter

This work covers the research work on decentralization of Online Social Networks (OSNs), issues with centralized design are studied with possible decentralized solutions. Centralized architecture is prone to privacy breach, p2p architecture for data and thus authority decentralization with encryption seems a possible solution. OSNs’ users grow exponentially causing scalability issue, a natural solution is decentralization where users bring resources with them via personal machines or paid services. Also centralized services are not available unremittingly, to this end decentralization proposes replication. Decentralized solutions are also proposed for reliability issues arising in centralized systems and the potential threat of a central authority. Yet key to all problems isn’t found, metadata may be enough for inferences about data and network traffic flow can lead to information on users’ relationships. First issue can be mitigated by data padding or splitting in uniform blocks. Caching, dummy traffic or routing through a mix of nodes can be some possible solutions to the second.

Chapter 3 of “Managing and Processing Big Data in Cloud Computing”.

Human Computer Interaction: Concepts, Methodologies, Tools, and Applications (4 Volumes)

Human Computer Interaction: Concepts, Methodologies, Tools, and Applications penetrates the human computer interaction (HCI) field with more breadth and depth of comprehensive research than any other publication. The four-volume set contains more than 200 authoritative works from over 250 leading experts in the field of human computer interaction. This groundbreaking collection contains significant chapters in topics such as Web logs, technology influences, and human factors of information systems and technologies.

Making the Social World

The Structure of Human Civilization

Offers a profound understanding of how we create a social reality–a reality of money, property, governments, marriages, stock markets and cocktail parties

Explains how a single linguistic operation, repeated over and over, is used to create and maintain the elaborate structures of human social institutions

Rethinking Machine Ethics in the Age of Ubiquitous Technology

As the utilization of intelligent machines spreads to numerous realms, the discourse of machine ethics has also developed and expanded. Concerns over machine intelligence and the role of automata in everyday life must be addressed before artificial intelligence and robotic technologies may be fully integrated into human society.

Rethinking Machine Ethics in the Age of Ubiquitous Technology blends forward-looking, constructive, and interdisciplinary visions of ethical ideals, aims, and applications of machine technology. This visionary reference work incorporates ethical conversations in the fields of technology, computer science, robotics, and the medical industry, creating a vibrant dialogue between philosophical ideals and the applied sciences. With its broad scope of relevant topics, this book serves as an excellent tool for policymakers, academicians, researchers, advanced-level students, technology developers, and government officials.

This timely publication features thoroughly researched articles on the topics of artificial moral agency, cyber-warfare, transhumanism, organic neural nets, human worker replacement, automaticity and global governance, security and surveillance, military drones, and more.


Security and Privacy in Social Networks

Security and Privacy in Social Networks brings to the forefront innovative approaches for analyzing and enhancing the security and privacy dimensions in online social networks, and is the first comprehensive attempt dedicated entirely to this field. In order to facilitate the transition of such methods from theory to mechanisms designed and deployed in existing online social networking services, the book aspires to create a common language between the researchers and practitioners of this new area- spanning from the theory of computational social sciences to conventional security and network engineering.

Developing Churn Models Using Data Mining Techniques and Social Network Analysis

Churn prediction, recognition, and mitigation have become essential topics in various industries. As a means for forecasting and managing risk, further research in this field can greatly assist companies in making informed decisions based on future possible scenarios.
Developing Churn Models Using Data Mining Techniques and Social Network Analysis provides an in-depth analysis of attrition modeling relevant to business planning and management. Through its insightful and detailed explanation of best practices, tools, and theory surrounding churn prediction and the integration of analytics tools, this publication is especially relevant to managers, data specialists, business analysts, academicians, and upper-level students.

ISBN13: 9781466662889