Graph Theoretic Approaches For Analyzing Large Scale Social Networks

Graph Theoretic Approaches For Analyzing Large Scale Social Networks Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Graph Theoretic Approaches For Analyzing Large Scale Social Networks book. This book definitely worth reading, it is an incredibly well-written.

Graph Theoretic Approaches for Analyzing Large-Scale Social Networks

Meghanathan, Natarajan
Graph Theoretic Approaches for Analyzing Large Scale Social Networks Book PDF

Author : Meghanathan, Natarajan
Publisher : IGI Global
Page : 355 pages
File Size : 46,9 Mb
Release : 2017-07-13
Category : Computers
ISBN : 9781522528159

Get Book

Graph Theoretic Approaches for Analyzing Large-Scale Social Networks by Meghanathan, Natarajan Pdf

Social network analysis has created novel opportunities within the field of data science. The complexity of these networks requires new techniques to optimize the extraction of useful information. Graph Theoretic Approaches for Analyzing Large-Scale Social Networks is a pivotal reference source for the latest academic research on emerging algorithms and methods for the analysis of social networks. Highlighting a range of pertinent topics such as influence maximization, probabilistic exploration, and distributed memory, this book is ideally designed for academics, graduate students, professionals, and practitioners actively involved in the field of data science.

State of the Art Applications of Social Network Analysis

Fazli Can,Tansel Özyer,Faruk Polat
State of the Art Applications of Social Network Analysis Book PDF

Author : Fazli Can,Tansel Özyer,Faruk Polat
Publisher : Springer
Page : 375 pages
File Size : 41,5 Mb
Release : 2014-05-14
Category : Computers
ISBN : 9783319059129

Get Book

State of the Art Applications of Social Network Analysis by Fazli Can,Tansel Özyer,Faruk Polat Pdf

Social network analysis increasingly bridges the discovery of patterns in diverse areas of study as more data becomes available and complex. Yet the construction of huge networks from large data often requires entirely different approaches for analysis including; graph theory, statistics, machine learning and data mining. This work covers frontier studies on social network analysis and mining from different perspectives such as social network sites, financial data, e-mails, forums, academic research funds, XML technology, blog content, community detection and clique finding, prediction of user’s- behavior, privacy in social network analysis, mobility from spatio-temporal point of view, agent technology and political parties in parliament. These topics will be of interest to researchers and practitioners from different disciplines including, but not limited to, social sciences and engineering.

Social Network Analysis: An Introduction with an Extensive Implementation to a Large-Scale Online Network Using Pajek

Seifedine Kadry,Mohammed Z. Al-Taie
Social Network Analysis An Introduction with an Extensive Implementation to a Large Scale Online Network Using Pajek Book PDF

Author : Seifedine Kadry,Mohammed Z. Al-Taie
Publisher : Bentham Science Publishers
Page : 130 pages
File Size : 43,9 Mb
Release : 2014-01-08
Category : Computers
ISBN : 9781608058181

Get Book

Social Network Analysis: An Introduction with an Extensive Implementation to a Large-Scale Online Network Using Pajek by Seifedine Kadry,Mohammed Z. Al-Taie Pdf

This brief textbook explains the principles of social network analysis. The book goes beyond theoretical concepts and gives the reader complete knowledge about how to apply analytical techniques using Pajek to perform a large-scale network analysis. The book covers the topic in 2 sections – the first detailing fundamentals of research design and the next one about methods and applications. Readers can then apply the techniques in this book to other online communities, such as Facebook and Twitter. The book is intended for networking students and general readers who want to learn the basics without going deep into mathematical methods. It is also useful for researchers and professionals from other fields seeking to understand the basics of large-scale social network analysis.

Handbook of Research on Pattern Engineering System Development for Big Data Analytics

Tiwari, Vivek,Thakur, Ramjeevan Singh,Tiwari, Basant,Gupta, Shailendra
Handbook of Research on Pattern Engineering System Development for Big Data Analytics Book PDF

Author : Tiwari, Vivek,Thakur, Ramjeevan Singh,Tiwari, Basant,Gupta, Shailendra
Publisher : IGI Global
Page : 396 pages
File Size : 51,5 Mb
Release : 2018-04-20
Category : Computers
ISBN : 9781522538714

Get Book

Handbook of Research on Pattern Engineering System Development for Big Data Analytics by Tiwari, Vivek,Thakur, Ramjeevan Singh,Tiwari, Basant,Gupta, Shailendra Pdf

Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries. It is necessary to develop new techniques for managing data in order to ensure adequate usage. The Handbook of Research on Pattern Engineering System Development for Big Data Analytics is a critical scholarly resource that examines the incorporation of pattern management in business technologies as well as decision making and prediction process through the use of data management and analysis. Featuring coverage on a broad range of topics such as business intelligence, feature extraction, and data collection, this publication is geared towards professionals, academicians, practitioners, and researchers seeking current research on the development of pattern management systems for business applications.

Formal Concept Analysis of Social Networks

Rokia Missaoui,Sergei O. Kuznetsov,Sergei Obiedkov
Formal Concept Analysis of Social Networks Book PDF

Author : Rokia Missaoui,Sergei O. Kuznetsov,Sergei Obiedkov
Publisher : Springer
Page : 195 pages
File Size : 40,7 Mb
Release : 2017-11-03
Category : Computers
ISBN : 9783319641676

Get Book

Formal Concept Analysis of Social Networks by Rokia Missaoui,Sergei O. Kuznetsov,Sergei Obiedkov Pdf

The book studies the existing and potential connections between Social Network Analysis (SNA) and Formal Concept Analysis (FCA) by showing how standard SNA techniques, usually based on graph theory, can be supplemented by FCA methods, which rely on lattice theory. The book presents contributions to the following areas: acquisition of terminological knowledge from social networks, knowledge communities, individuality computation, other types of FCA-based analysis of bipartite graphs (two-mode networks), multimodal clustering, community detection and description in one-mode and multi-mode networks, adaptation of the dual-projection approach to weighted bipartite graphs, extensions to the Kleinberg's HITS algorithm as well as attributed graph analysis.

Graph-Based Social Media Analysis

Ioannis Pitas
Graph Based Social Media Analysis Book PDF

Author : Ioannis Pitas
Publisher : Chapman and Hall/CRC
Page : 0 pages
File Size : 42,7 Mb
Release : 2015-10-22
Category : Computers
ISBN : 149871904X

Get Book

Graph-Based Social Media Analysis by Ioannis Pitas Pdf

This book provides a comprehensive introduction to the use of graph analysis in the study of social media and digital media. It covers the following topics: graphs in social media, graph theory, algebraic analysis of graphs, graph clustering, diffusion in social media, label propagation in graphs, graphs in pattern recognition and machine learning, tensors in graph analysis, recommendation systems based on hypergraphs, big data approaches for social media and graph clustering and graph-based approaches for evolving social data.

Risk Analysis for the Digital Age

Anton Gerunov
Risk Analysis for the Digital Age Book PDF

Author : Anton Gerunov
Publisher : Springer Nature
Page : 252 pages
File Size : 49,6 Mb
Release : 2022-11-16
Category : Technology & Engineering
ISBN : 9783031181009

Get Book

Risk Analysis for the Digital Age by Anton Gerunov Pdf

This book presents a foray into the fascinating process of risk management, beginning from classical methods and approaches to understanding risk all the way into cutting-age thinking. Risk management by necessity must lie at the heart of governing our ever more complex digital societies. New phenomena and activities necessitate a new look at how individuals, firms, and states manage the uncertainty they must operate in. Initial chapters provide an introduction to traditional methods and show how they can be built upon to better understand the workings of the modern economy. Later chapters review digital activities and assets like cryptocurrencies showing how such emergent risks can be conceptualized better. Network theory figures prominently and the book demonstrates how it can be used to gauge the risk in the digital sectors of the economy. Predicting the unpredictable black swan events is also discussed in view of a wider adoption of economic simulations. The journey concludes by looking at how individuals perceive risk and make decisions as they operate in a virtual social network. This book interests the academic audience, but it also features insights and novel research results that are relevant for practitioners and policymakers.

Applied Social Network Analysis With R: Emerging Research and Opportunities

Gençer, Mehmet
Applied Social Network Analysis With R Emerging Research and Opportunities Book PDF

Author : Gençer, Mehmet
Publisher : IGI Global
Page : 284 pages
File Size : 52,7 Mb
Release : 2020-02-07
Category : Computers
ISBN : 9781799819141

Get Book

Applied Social Network Analysis With R: Emerging Research and Opportunities by Gençer, Mehmet Pdf

Understanding the social relations within the fields of business and economics is vital for the promotion of success within a certain organization. Analytics and statistics have taken a prominent role in marketing and management practices as professionals are constantly searching for a competitive advantage. Converging these technological tools with traditional methods of business relations is a trending area of research. Applied Social Network Analysis With R: Emerging Research and Opportunities is an essential reference source that materializes and analyzes the issue of structure in terms of its effects on human societies and the state of the individuals in these communities. Even though the theme of the book is business-oriented, an approach underlining and strengthening the ties of this field of study with social sciences for further development is adopted throughout. Therefore, the knowledge presented is valid for analyzing not only the organization of the business world but also for the organization of any given community. Featuring research on topics such as network visualization, graph theory, and micro-dynamics, this book is ideally designed for researchers, practitioners, business professionals, managers, programmers, academicians, and students seeking coverage on analyzing social and business networks using modern methods of statistics, programming, and data sets.

Research Anthology on Digital Transformation, Organizational Change, and the Impact of Remote Work

Management Association, Information Resources
Research Anthology on Digital Transformation Organizational Change and the Impact of Remote Work Book PDF

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 2049 pages
File Size : 51,7 Mb
Release : 2020-10-30
Category : Business & Economics
ISBN : 9781799872986

Get Book

Research Anthology on Digital Transformation, Organizational Change, and the Impact of Remote Work by Management Association, Information Resources Pdf

As the use of remote work has recently skyrocketed, digital transformation within the workplace has gone under a microscope, and it has become abundantly clear that the incorporation of new technologies in the workplace is the future of business. These technologies keep businesses up to date with their capabilities to perform remote work and make processes more efficient and effective than ever before. In understanding digital transformation in the workplace there needs to be advanced research on technology, organizational change, and the impacts of remote work on the business, the employees, and day-to-day work practices. This advancement to a digital work culture and remote work is rapidly undergoing major advancements, and research is needed to keep up with both the positives and negatives to this transformation. The Research Anthology on Digital Transformation, Organizational Change, and the Impact of Remote Work contains hand-selected, previously published research that explores the impacts of remote work on business workplaces while also focusing on digital transformation for improving the efficiency of work. While highlighting work technologies, digital practices, business management, organizational change, and the effects of remote work on employees, this book is an all-encompassing research work intended for managers, business owners, IT specialists, executives, practitioners, stakeholders, researchers, academicians, and students interested in how digital transformation and remote work is affecting workplaces.

Advances in Data and Information Sciences

Mohan L. Kolhe,Shailesh Tiwari,Munesh C. Trivedi,Krishn K. Mishra
Advances in Data and Information Sciences Book PDF

Author : Mohan L. Kolhe,Shailesh Tiwari,Munesh C. Trivedi,Krishn K. Mishra
Publisher : Springer Nature
Page : 679 pages
File Size : 46,7 Mb
Release : 2020-01-02
Category : Technology & Engineering
ISBN : 9789811506949

Get Book

Advances in Data and Information Sciences by Mohan L. Kolhe,Shailesh Tiwari,Munesh C. Trivedi,Krishn K. Mishra Pdf

This book gathers a collection of high-quality peer-reviewed research papers presented at the 2nd International Conference on Data and Information Sciences (ICDIS 2019), held at Raja Balwant Singh Engineering Technical Campus, Agra, India, on March 29–30, 2019. In chapters written by leading researchers, developers, and practitioner from academia and industry, it covers virtually all aspects of computational sciences and information security, including central topics like artificial intelligence, cloud computing, and big data. Highlighting the latest developments and technical solutions, it will show readers from the computer industry how to capitalize on key advances in next-generation computer and communication technology.

Social Network Analysis for Startups

Maksim Tsvetovat,Alexander Kouznetsov
Social Network Analysis for Startups Book PDF

Author : Maksim Tsvetovat,Alexander Kouznetsov
Publisher : "O'Reilly Media, Inc."
Page : 191 pages
File Size : 40,8 Mb
Release : 2011-10-06
Category : Business & Economics
ISBN : 9781449306465

Get Book

Social Network Analysis for Startups by Maksim Tsvetovat,Alexander Kouznetsov Pdf

Does your startup rely on social network analysis? This concise guide provides a statistical framework to help you identify social processes hidden among the tons of data now available. Social network analysis (SNA) is a discipline that predates Facebook and Twitter by 30 years. Through expert SNA researchers, you'll learn concepts and techniques for recognizing patterns in social media, political groups, companies, cultural trends, and interpersonal networks. You'll also learn how to use Python and other open source tools—such as NetworkX, NumPy, and Matplotlib—to gather, analyze, and visualize social data. This book is the perfect marriage between social network theory and practice, and a valuable source of insight and ideas. Discover how internal social networks affect a company’s ability to perform Follow terrorists and revolutionaries through the 1998 Khobar Towers bombing, the 9/11 attacks, and the Egyptian uprising Learn how a single special-interest group can control the outcome of a national election Examine relationships between companies through investment networks and shared boards of directors Delve into the anatomy of cultural fads and trends—offline phenomena often mediated by Twitter and Facebook

Graph Representation Learning

William L. William L. Hamilton
Graph Representation Learning Book PDF

Author : William L. William L. Hamilton
Publisher : Springer Nature
Page : 141 pages
File Size : 50,8 Mb
Release : 2022-06-01
Category : Computers
ISBN : 9783031015885

Get Book

Graph Representation Learning by William L. William L. Hamilton Pdf

Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical synthesis, 3D vision, recommender systems, question answering, and social network analysis. This book provides a synthesis and overview of graph representation learning. It begins with a discussion of the goals of graph representation learning as well as key methodological foundations in graph theory and network analysis. Following this, the book introduces and reviews methods for learning node embeddings, including random-walk-based methods and applications to knowledge graphs. It then provides a technical synthesis and introduction to the highly successful graph neural network (GNN) formalism, which has become a dominant and fast-growing paradigm for deep learning with graph data. The book concludes with a synthesis of recent advancements in deep generative models for graphs—a nascent but quickly growing subset of graph representation learning.

Graph Theory: Heuristic Methods

N.B. Singh
Graph Theory Heuristic Methods Book PDF

Author : N.B. Singh
Publisher : N.B. Singh
Page : 131 pages
File Size : 45,8 Mb
Release : 2024-06-30
Category : Mathematics
ISBN : 8210379456XXX

Get Book

Graph Theory: Heuristic Methods by N.B. Singh Pdf

"Graph Theory: Heuristic Methods" explores the intersection of graph theory and heuristic algorithms, offering a comprehensive exploration of how these methodologies contribute to solving diverse real-world challenges in network design and optimization. Covering fundamental concepts, advanced applications, and emerging trends, this book serves as a vital resource for researchers, practitioners, and students seeking to leverage heuristic approaches for tackling complex problems across various domains."

Social Network Analysis

Stanley Wasserman,Katherine Faust
Social Network Analysis Book PDF

Author : Stanley Wasserman,Katherine Faust
Publisher : Cambridge University Press
Page : 852 pages
File Size : 47,9 Mb
Release : 1994-11-25
Category : Social Science
ISBN : 0521387078

Get Book

Social Network Analysis by Stanley Wasserman,Katherine Faust Pdf

Social network analysis is used widely in the social and behavioral sciences, as well as in economics, marketing, and industrial engineering. The social network perspective focuses on relationships among social entities and is an important addition to standard social and behavioral research, which is primarily concerned with attributes of the social units. Social Network Analysis: Methods and Applications reviews and discusses methods for the analysis of social networks with a focus on applications of these methods to many substantive examples. It is a reference book that can be used by those who want a comprehensive review of network methods, or by researchers who have gathered network data and want to find the most appropriate method by which to analyze it. It is also intended for use as a textbook as it is the first book to provide comprehensive coverage of the methodology and applications of the field.

Developing a Keyword Extractor and Document Classifier: Emerging Research and Opportunities

Paul, Dimple Valayil
Developing a Keyword Extractor and Document Classifier Emerging Research and Opportunities Book PDF

Author : Paul, Dimple Valayil
Publisher : IGI Global
Page : 229 pages
File Size : 53,8 Mb
Release : 2021-01-08
Category : Computers
ISBN : 9781799837732

Get Book

Developing a Keyword Extractor and Document Classifier: Emerging Research and Opportunities by Paul, Dimple Valayil Pdf

The main problems that prevent fast and high-quality document processing in electronic document management systems are insufficient and unstructured information, information redundancy, and the presence of large amounts of undesirable user information. The human factor has a significant impact on the efficiency of document search. An average user is not aware of the advanced option of a query language and uses typical queries. Development of a specialized software toolkit intended for information systems and electronic document management systems can be an effective solution of the tasks listed above. Such toolkits should be based on the means and methods of automatic keyword extraction and text classification. The categorization (or classification) of texts into predefined categories has witnessed a booming interest in the last 10 years due to the increased availability of documents in digital form and the ensuing need to organize them. Thus, research on keyword extraction, advancements in the field, and possible future solutions is of great importance in current times. Developing a Keyword Extractor and Document Classifier: Emerging Research and Opportunities presents an information extraction mechanism that can process many kinds of inputs, realize the type of text, and understand the percentage of the keywords that has to be stored. This mechanism then supports information extraction and information categorization mechanisms. This module is used to support a text summarization mechanism, which leads—with the help of the keyword extraction module—to text categorization. It employs lexical and information retrieval techniques to extract phrases from the document text that are likely to characterize it and determines the category of the retrieved text to present a summary to the users. This book is ideal for practitioners, stakeholders, researchers, academicians, and students who are interested in the development of a new keyword extractor and document classifier method.