From Social Data Mining and Analysis to Prediction and Community Detection

• Corporate Author: SpringerLink (Online service)
• Other Authors: Kaya, Mehmet (Editor), Erdoǧan, Özcan (Editor), Rokne, Jon (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Series: Lecture Notes in Social Networks,
• Subjects: Computer science.; Data mining.; Artificial intelligence.; Computer Science.; Data Mining and Knowledge Discovery.; Artificial Intelligence (incl. Robotics).; Applications of Graph Theory and Complex Networks.

This book presents the state-of-the-art in various aspects of analysis and mining of online social networks. Within the broader context of online social networks, it focuses on important and upcoming topics of social network analysis and mining. The book collects chapters that are expanded versions...

Table of Contents:

• Chapter1. An Offline-Online Visual Framework for Clustering Memes in Social Media
• Chapter2. A System for Email Recipient Prediction
• Chapter3. A Credibility Assessment Model for Online Social Network Content
• Chapter4. Web Search Engine based Representation for Arabic Tweets Categorization
• Chapter5. Sentiment Trends and Classifying Stocks using P-Trees
• Chapter6. Mining Community Structure with Node Embeddings
• Chapter7. A LexDFS-based Approach on finding compact communities
• Chapter8. Computational Data Sciences and Regulation of Banking and Financial Services
• Chapter9. Frequent and Non-Frequent Sequential Itemsets Detection.