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Prediction and Inference from Social Networks and Social Media

This book addresses the challenges of social network and social media analysis in terms of prediction and inference. The chapters collected;

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Cooperative and Graph Signal Processing

, optimization and control, machine learning, signal processing on graphs, signal processing for distributed communication, social networks from the;

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Learning from Multiple Social Networks

prediction. Finally, we conclude the book and figure out the future research directions in multiple social network learning, including the privacy;

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Ultimate Guide to Social Media Marketing

from big ones like Facebook and YouTube to emerging platforms Learning how to craft your business's social media strategy using today's;

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Computational Social Networks

reviewed and selected from 101 submissions and cover topics on social information diffusion; network clustering and community structure; social;

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Social Multimedia Signals

through social multimedia signals. With insights from the study of popularity and sharing patterns of online media, trend spread in social media;

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Digital Transformation of Collaboration

cover most recent advances in areas from leadership and collaboration, trend prediction and data mining, to social competence and Internet;

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Social Media in Academia

Social media and online social networks are expected to transform academia and the scholarly process. However, intense emotions permeate;

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Social Media in Academia

Social media and online social networks are expected to transform academia and the scholarly process. However, intense emotions permeate;

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Intelligent Random Walk

social networks. The book opens new horizons for designing prediction models and problem-solving methods based on intelligent random walk;

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Analyzing Social Media Networks Microsof

background in the history and concepts of social media and social networks. Also included here is social network analysis, which flows from measuring;

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Causality, Probability, and Time

those from electronic health records and social networks, it is a practical necessity. This book presents a new approach to inference (finding;

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Causality, Probability, and Time

those from electronic health records and social networks, it is a practical necessity. This book presents a new approach to inference (finding;

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Adaptive Resonance Theory in Social Media Data Clustering

Social media data contains our communication and online sharing, mirroring our daily life. This book looks at how we can use and what we;

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Applications of Fuzzy Sets and the Theory of Evidence to Accounting

An analysis of fuzzy sets and the theory of evidence to accounting. It is divided into parts, covering: methodology; inference; prediction;

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Organization After Social Media

. Organization after Social Media explores a range of social settings from arts and design, cultural politics, visual;

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Event Attendance Prediction in Social Networks

first surveys existing techniques on event attendance prediction and other related topics in event-based social networks. It then introduces a;

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Behavior Dynamics in Media-Sharing Social Networks

In large-scale media-sharing social networks, where millions of users create, share, link and reuse media content, there are clear;

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Biomolecular Networks

networks; alignment of biomolecular networks; and network-based prediction of protein function* METABOLIC NETWORKS AND SIGNALING NETWORKS-Analysis;

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Computational Social Networks

applicable to all types of social networks and social media.;

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From Social Data Mining and Analysis to Prediction and Community Detection

This book presents the state-of-the-art in various aspects of analysis and mining of online social networks. Within the broader context;

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Human-Centered Social Media Analytics

; discusses the prediction and recognition of human attributes via social media analytics, including social relationships, facial age and beauty, and;

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Spatializing Social Media

Spatializing Social Media charts the theoretical and methodological challenges in analyzing and visualizing social media data mapped to;

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Spatializing Social Media

Spatializing Social Media charts the theoretical and methodological challenges in analyzing and visualizing social media data mapped to;

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Text as Data

A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital;

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Guerrilla Marketing for Social Media

unconventional social media opportunities, engage customers, motivate action, and capture profits away from your competitors. Includes: 19 secrets;

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Brand Management with Social Media

/ amenities. The deliberately designed social media campaigns can help the firms to generate brand awareness and brand loyalty with the help of the;

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