Communication Technologies, Information Security and Sustainable Development


Book Description

This book constitutes the thoroughly refereed proceedings of the Third International Multi-topic Conference on Communications, Technologies, Information Security and Sustainable Development, IMTIC 2013, held in Jamshoro, Pakistan, in December 2013. The 27 revised papers presented in this volume were carefully reviewed and selected from 140 submissions. The topics presented had a reasonable balance between theory and practice in multi-disciplined topics including wireless sensor networks, cloud computing, wireless communication, antenna design, signal processing, software engineering, image processing, bioinformatics and telemedicine, neural networks, automation and control, and green renewable energy.




Twitter: A Digital Socioscope


Book Description

A resource for social scientists on how Twitter data can be used to study individual behavior and social interaction.




Trends in Social Network Analysis


Book Description

The book collects contributions from experts worldwide addressing recent scholarship in social network analysis such as influence spread, link prediction, dynamic network biclustering, and delurking. It covers both new topics and new solutions to known problems. The contributions rely on established methods and techniques in graph theory, machine learning, stochastic modelling, user behavior analysis and natural language processing, just to name a few. This text provides an understanding of using such methods and techniques in order to manage practical problems and situations. Trends in Social Network Analysis: Information Propagation, User Behavior Modelling, Forecasting, and Vulnerability Assessment appeals to students, researchers, and professionals working in the field.




Seeing Cities Through Big Data


Book Description

This book introduces the latest thinking on the use of Big Data in the context of urban systems, including research and insights on human behavior, urban dynamics, resource use, sustainability and spatial disparities, where it promises improved planning, management and governance in the urban sectors (e.g., transportation, energy, smart cities, crime, housing, urban and regional economies, public health, public engagement, urban governance and political systems), as well as Big Data’s utility in decision-making, and development of indicators to monitor economic and social activity, and for urban sustainability, transparency, livability, social inclusion, place-making, accessibility and resilience.




Big Data Analytics


Book Description

This book constitutes the thoroughly refereed conference proceedings of the Second International Conference on Big Data Analytics, BDA 2013, held in Mysore, India, in December 2013. The 13 revised full papers were carefully reviewed and selected from 49 submissions and cover topics on mining social media data, perspectives on big data analysis, graph analysis, big data in practice.




Recommendation and Search in Social Networks


Book Description

This edited volume offers a clear in-depth overview of research covering a variety of issues in social search and recommendation systems. Within the broader context of social network analysis it focuses on important and up-coming topics such as real-time event data collection, frequent-sharing pattern mining, improvement of computer-mediated communication, social tagging information, search system personalization, new detection mechanisms for the identification of online user groups, and many more. The twelve contributed chapters are extended versions of conference papers as well as completely new invited chapters in the field of social search and recommendation systems. This first-of-its kind survey of current methods will be of interest to researchers from both academia and industry working in the field of social networks.




Sentiment Analysis and Knowledge Discovery in Contemporary Business


Book Description

In the era of social connectedness, people are becoming increasingly enthusiastic about interacting, sharing, and collaborating through online collaborative media. However, conducting sentiment analysis on these platforms can be challenging, especially for business professionals who are using them to collect vital data. Sentiment Analysis and Knowledge Discovery in Contemporary Business is an essential reference source that discusses applications of sentiment analysis as well as data mining, machine learning algorithms, and big data streams in business environments. Featuring research on topics such as knowledge retrieval and knowledge updating, this book is ideally designed for business managers, academicians, business professionals, researchers, graduate-level students, and technology developers seeking current research on data collection and management to drive profit.




Temporal Patterns of Communication in Social Networks


Book Description

The main interest of this research has been in understanding and characterizing large networks of human interactions as continuously changing objects. In fact, although many real social networks are dynamic networks whose elements and properties continuously change over time, traditional approaches to social network analysis are essentially static, thus neglecting all temporal aspects. Specifically, we have investigated the role that temporal patterns of human interaction play in three main fields of social network analysis and data mining: characterization of time (or attention) allocation in social networks, prediction of link decay/persistence, and information spreading. In order to address this we analyzed large anonymized data sets of phone call communication traces over long periods of time. Access to these observations was granted by Telefonica Research, Spain. The findings that emerge from our research indicate that the observed heterogeneities and correlations of human temporal patterns of interaction significantly affect the traditional view of social networks, shifting from a very steady to a highly complex entity. Since structure and dynamics are tightly coupled, they cannot be disentangled in the analysis and modeling of human behavior, though traditional models seek to do so. Our results impact not only the way in which social network are traditionally characterized, but more importantly also the understanding and modeling phenomena such as group formation, spread of epidemics, and the dissemination of ideas, opinions and information.




The Transformation of Human Rights Fact-finding


Book Description

Fact-finding is at the heart of human rights advocacy, and is often at the center of international controversies about alleged government abuses. In recent years, human rights fact-finding has greatly proliferated and become more sophisticated and complex, while also being subjected to stronger scrutiny from governments. Nevertheless, despite the prominence of fact-finding, it remains strikingly under-studied and under-theorized. Too little has been done to bring forth the assumptions, methodologies, and techniques of this rapidly developing field, or to open human rights fact-finding to critical and constructive scrutiny. The Transformation of Human Rights Fact-Finding offers a multidisciplinary approach to the study of fact-finding with rigorous and critical analysis of the field of practice, while providing a range of accounts of what actually happens. It deepens the study and practice of human rights investigations, and fosters fact-finding as a discretely studied topic, while mapping crucial transformations in the field. The contributions to this book are the result of a major international conference organized by New York University Law School's Center for Human Rights and Global Justice. Engaging the expertise and experience of the editors and contributing authors, it offers a broad approach encompassing contemporary issues and analysis across the human rights spectrum in law, international relations, and critical theory. This book addresses the major areas of human rights fact-finding such as victim and witness issues; fact-finding for advocacy, enforcement, and litigation; the role of interdisciplinary expertise and methodologies; crowd sourcing, social media, and big data; and international guidelines for fact-finding.