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Analyzing Social Networks Using R

This approachable book introduces network research in R, walking you through every step of doing social network analysis.;

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Analyzing Social Networks

The leading guidebook for social network students and researchers, particularly those using NetDraw and UCINET data analysis software, now;

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Analyzing Social Networks

The leading guidebook for social network students and researchers, particularly those using NetDraw and UCINET data analysis software, now;

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Applied Social Network Analysis With R

. Applied Social Network Analysis With R: Emerging Research and Opportunities is an essential reference source that materializes and analyzes the;

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Security in IoT Social Networks

Security in IoT Social Networks takes a deep dive into security threats and risks, focusing on real-world social and financial effects;

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Analyzing Social Media Networks Microsof

Analyzing Social Media Networks with NodeXL offers backgrounds in information studies, computer science, and sociology. This book;

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Network Analysis and Ethnographic Problems

Using network visualization and the study of the dynamics of marriage choices, Network Analysis and Ethnographic Problems expands the;

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Advanced Deep Learning with R

Discover best practices for choosing, building, training, and improving deep learning models using Keras-R, and TensorFlow-R libraries Key;

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Analyzing Social Networks

Written by a stellar team of experts, Analyzing Social Networks is a practical book on how to collect, visualize, analyze and interpret;

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Computational Network Analysis with R: Applications in Biology, Medicine and Chemistry

-oriented chapters, the book demonstrates that R is a powerful language for statistically analyzing networks and for solving such large-scale;

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Flows in Networks

In this classic book, first published in 1962, L. R. Ford, Jr., and D. R. Fulkerson set the foundation for the study of network flow;

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Spatializing Social Media

to plotting a social network graph onto a map, including the purpose-built R package Spatial Social Media. The book takes a non;

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Spatializing Social Media

to plotting a social network graph onto a map, including the purpose-built R package Spatial Social Media. The book takes a non;

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Agent-Based Models of Polarization and Ethnocentrism

Building on the Cambridge Element Agent Based Models of Social Life: Fundamentals (Cambridge, 2020), we move on to the next level. We do;

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Learning Social Media Analytics with R

Tap into the realm of social media and unleash the power of analytics for data-driven insights using R About This Book * A practical;

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Dynamic Social Network Modeling and Analysis

In the summer of 2002, the Office of Naval Research asked the Committee on Human Factors to hold a workshop on dynamic social network and;

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Neural Networks with R

in neural networks with R, to implement them in your applications * Build smart systems using the power of deep learning * Real-world case studies;

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Deep Learning with R for Beginners

Explore the world of neural networks by building powerful deep learning models using the R ecosystem Key Features Get to grips with the;

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Analysis of Microarray Data: A Network-Based Approach

Functional Modules Using Microarray and Protein Interaction Data* Integrating Results from Literature Mining and Microarray Experiments to Infer Gene;

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Analyzing the Social Web

Analyzing the Social Web provides a framework for the analysis of public data currently available and being generated by social networks;

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Analyzing Qualitative Data

This book offers students and researchers a hands-on guide to the practicalities of coding, comparing data, and using computer-assisted;

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Categorical Data Analysis and Multilevel Modeling Using R

Categorical Data Analysis and Multilevel Modeling Using R provides a practical guide to regression techniques for analyzing binary, ordinal;

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Network Theory and Violent Conflicts: Studies in Afghanistan and Lebanon

identity formation, it has a fundamental function in shaping social behavior. Using Manuel Castells' work on the programming of social networks;

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R Deep Learning Cookbook

Powerful, independent recipes to build deep learning models in different application areas using R libraries About This Book * Master;

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Using Statistics in the Social and Health Sciences with SPSS and Excel

, allowing readers to reinforce their comprehension of the material. Using Statistics in the Social and Health Sciences with SPSS(R) and Excel(R;

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Advances in Strategic Network Formation

affects the structure of social networks. Applications include friendship networks, personal business networks, R&D collaborations, strategic;

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Mexico's Drug War and Criminal Networks

, and the Caballeros Templarios. Using social network analysis, and analyzing the use of web platforms Facebook, Twitter, and YouTube, Nilda M;

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