<p>This book addresses and examines the impacts of applications and services for data management and analysis, such as infrastructure, platforms, software, and business processes, on both academia and industry. The chapters cover effective approaches in dealing with the inherent complexity and incre
Social Network Based Big Data Analysis and Applications
β Scribed by Mehmet Kaya, Jalal Kawash, Suheil Khoury, Min-Yuh Day
- Publisher
- Springer International Publishing
- Year
- 2018
- Tongue
- English
- Leaves
- 254
- Series
- Lecture Notes in Social Networks
- Edition
- 1st ed.
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book is a timely collection of chapters that present the state of the art within the analysis and application of big data. Working within the broader context of big data, this text focuses on the hot topics of social network modelling and analysis such as online dating recommendations, hiring practices, and subscription-type prediction in mobile phone services.
Manuscripts are expanded versions of the best papers presented at the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAMβ2016), which was held in August 2016.
The papers were among the best featured at the meeting and were then improved and extended substantially. Social Network Based Big Data Analysis and Applications will appeal to students and researchers in the field.β¦ Table of Contents
Front Matter ....Pages i-x
Twitter as a Source for Time- and Domain-Dependent Sentiment Lexicons (Nuno GuimarΓ£es, LuΓs Torgo, Γlvaro Figueira)....Pages 1-19
Hiding in Plain Sight: The Anatomy of Malicious Pages on Facebook (Prateek Dewan, Shrey Bagroy, Ponnurangam Kumaraguru)....Pages 21-54
Extraction and Analysis of Dynamic Conversational Networks from TV Series (Xavier Bost, Vincent Labatut, Serigne Gueye, Georges Linarès)....Pages 55-84
Diversity and Influence as Key Measures to Assess Candidates for Hiring or Promotion in Academia (Gabriela Jurca, Omar Addam, Jon Rokne, Reda Alhajj)....Pages 85-103
Timelines of Prostate Cancer Biomarkers (Gabriela Jurca, Omar Addam, Jon Rokne, Reda Alhajj)....Pages 105-121
Exploring the Role of Intrinsic Nodal Activation on the Spread of Influence in Complex Networks (Arun V. Sathanur, Mahantesh Halappanavar, Yi Shi, Yalin Sagduyu)....Pages 123-142
Influence and Extension of the Spiral of Silence in Social Networks: A Data-Driven Approach (Yingbo Zhu, Zhenhua Huang, Zhenyu Wang, Linfeng Luo, Shuang Wu)....Pages 143-164
Prepaid or Postpaid? That Is the Question: Novel Methods of Subscription Type Prediction in Mobile Phone Services (Yongjun Liao, Wei Du, MΓ‘rton Karsai, Carlos Sarraute, Martin Minnoni, Eric Fleury)....Pages 165-181
Dynamic Pattern Detection for Big Data Stream Analytics (Konstantinos F. Xylogiannopoulos, Panagiotis Karampelas, Reda Alhajj)....Pages 183-200
Community-Based Recommendation for Cold-Start Problem: A Case Study of Reciprocal Online Dating Recommendation (Mo Yu, Xiaolong (Luke) Zhang, Dongwon Lee, Derek Kreager)....Pages 201-222
Combining Feature Extraction and Clustering for Better Face Recognition (Salim Afra, Reda Alhajj)....Pages 223-241
Back Matter ....Pages 243-249
β¦ Subjects
Social Sciences; Computational Social Sciences; Big Data; Data Mining and Knowledge Discovery; Applications of Graph Theory and Complex Networks
π SIMILAR VOLUMES
https://www.springer.com/gp/book/9783030142971 The book is devoted to the analysis of big data in order to extract from these data hidden patterns necessary for making decisions about the rational behavior of complex systems with the different nature that generate this data. To solve these proble
https://www.springer.com/gp/book/9783030142971 The book is devoted to the analysis of big data in order to extract from these data hidden patterns necessary for making decisions about the rational behavior of complex systems with the different nature that generate this data. To solve these proble
This book presents recent developments on the theoretical, algorithmic, and application aspects of Big Data in Complex and Social Networks. The book consists of four parts, covering a wide range of topics. The first part of the book focuses on data storage and data processing. It explores how the