<p><STRONG>Networks of Learning Automata: Techniques for Online Stochastic Optimization</STRONG> is a comprehensive account of learning automata models with emphasis on multiautomata systems. It considers synthesis of complex learning structures from simple building blocks and uses stochastic algori
Machine Learning Techniques for Online Social Networks
β Scribed by Tansel Γzyer, Reda Alhajj
- Publisher
- Springer International Publishing
- Year
- 2018
- Tongue
- English
- Leaves
- 241
- Series
- Lecture Notes in Social Networks
- Edition
- 1st ed.
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
The book covers tools in the study of online social networks such as machine learning techniques, clustering, and deep learning. A variety of theoretical aspects, application domains, and case studies for analyzing social network data are covered. The aim is to provide new perspectives on utilizing machine learning and related scientific methods and techniques for social network analysis. Machine Learning Techniques for Online Social Networks will appeal to researchers and students in these fields.
β¦ Table of Contents
Front Matter ....Pages i-viii
Acceleration of Functional Cluster Extraction and Analysis of Cluster Affinity (Takayasu Fushimi, Kazumi Saito, Tetsuo Ikeda, Kazuhiro Kazama)....Pages 1-22
Ξ΄-Hyperbolicity and the Core-Periphery Structure in Graphs (Hend Alrasheed)....Pages 23-43
A Framework for OSN Performance Evaluation Studies (Pablo NicolΓ‘s Terevinto, Miguel PΓ©rez, Josep Domenech, JosΓ© A. Gil, Ana Pont)....Pages 45-64
On the Problem of Multi-Staged Impression Allocation in Online Social Networks (Inzamam Rahaman, Patrick Hosein)....Pages 65-84
Order-of-Magnitude Popularity Estimation of Pirated Content (Charalampos Chelmis, Daphney-Stavroula Zois)....Pages 85-113
Learning What to Share in Online Social Networks Using Deep Reinforcement Learning (Shatha Jaradat, Nima Dokoohaki, Mihhail Matskin, Elena Ferrari)....Pages 115-133
Centrality and Community Scoring Functions in Incomplete Networks: Their Sensitivity, Robustness, and Reliability (Soumya Sarkar, Suhansanu Kumar, Sanjukta Bhowmick, Animesh Mukherjee)....Pages 135-154
Ameliorating Search Results Recommendation System Based on K-Means Clustering Algorithm and Distance Measurements (Marwa MassaΓ’bi, Olfa Layouni, Jalel Akaichi)....Pages 155-172
Dynamics of Large-Scale Networks Following a Merger (John Clements, Babak Farzad, Henryk FukΕ)....Pages 173-193
Cloud Assisted Personal Online Social Network (Esra Erdin, Eric Klukovich, Mehmet Hadi Gunes)....Pages 195-218
Text-Based Analysis of Emotion by Considering Tweets (Kashfia Sailunaz, Tansel Γzyer, Jon Rokne, Reda Alhajj)....Pages 219-236
β¦ Subjects
Social Sciences; Computational Social Sciences; Data Mining and Knowledge Discovery; Social Media; Artificial Intelligence (incl. Robotics)
π SIMILAR VOLUMES
<p><p>Following the introduction of Myspace, Linkedin and Facebook, social networks have become part of peopleβs everyday life. New online social networks appear almost daily developed to attract the attention of Internet users. However, design and implementation standards and guidelines are often s
This book explores Machine Learning (ML) defenses against the many cyberattacks that make our workplaces, schools, private residences, and critical infrastructures vulnerable as a consequence of the dramatic increase in botnets, data ransom, system and network denials of service, sabotage, and data
<span>This book explores machine learning (ML) defenses against the many cyberattacks that make our workplaces, schools, private residences, and critical infrastructures vulnerable as a consequence of the dramatic increase in botnets, data ransom, system and network denials of service, sabotage, and
<p><i>Machine Learning Techniques for Space Weather</i> provides a thorough and accessible presentation of machine learning techniques that can be employed by space weather professionals. Additionally, it presents an overview of real-world applications in space science to the machine learning commun
<p><p>This book discusses the issues and challenges in Online Social Networks (OSNs). It highlights various aspects of OSNs consisting of novel social network strategies and the development of services using different computing models. Moreover, the book investigates how OSNs are impacted by cutting