Data Mining For Social Network Data

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Data Mining for Social Network Data

Nasrullah Memon,Jennifer Jie Xu,David L. Hicks,Hsinchun Chen
Data Mining for Social Network Data Book PDF

Author : Nasrullah Memon,Jennifer Jie Xu,David L. Hicks,Hsinchun Chen
Publisher : Springer Science & Business Media
Page : 216 pages
File Size : 45,5 Mb
Release : 2010-06-10
Category : Business & Economics
ISBN : 1441962875

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Data Mining for Social Network Data by Nasrullah Memon,Jennifer Jie Xu,David L. Hicks,Hsinchun Chen Pdf

Driven by counter-terrorism efforts, marketing analysis and an explosion in online social networking in recent years, data mining has moved to the forefront of information science. This proposed Special Issue on Data Mining for Social Network Data will present a broad range of recent studies in social networking analysis. It will focus on emerging trends and needs in discovery and analysis of communities, solitary and social activities, activities in open for a and commercial sites as well. It will also look at network modeling, infrastructure construction, dynamic growth and evolution pattern discovery using machine learning approaches and multi-agent based simulations. Editors are three rising stars in world of data mining, knowledge discovery, social network analysis, and information infrastructures, and are anchored by Springer author/editor Hsinchun Chen (Terrorism Informatics; Medical Informatics; Digital Government), who is one of the most prominent intelligence analysis and data mining experts in the world.

Social Network Data Analytics

Charu C. Aggarwal
Social Network Data Analytics Book PDF

Author : Charu C. Aggarwal
Publisher : Springer Science & Business Media
Page : 508 pages
File Size : 45,7 Mb
Release : 2011-03-18
Category : Computers
ISBN : 9781441984623

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Social Network Data Analytics by Charu C. Aggarwal Pdf

Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the form of massive streams, which are mined for a variety of purposes. Social Network Data Analytics covers an important niche in the social network analytics field. This edited volume, contributed by prominent researchers in this field, presents a wide selection of topics on social network data mining such as Structural Properties of Social Networks, Algorithms for Structural Discovery of Social Networks and Content Analysis in Social Networks. This book is also unique in focussing on the data analytical aspects of social networks in the internet scenario, rather than the traditional sociology-driven emphasis prevalent in the existing books, which do not focus on the unique data-intensive characteristics of online social networks. Emphasis is placed on simplifying the content so that students and practitioners benefit from this book. This book targets advanced level students and researchers concentrating on computer science as a secondary text or reference book. Data mining, database, information security, electronic commerce and machine learning professionals will find this book a valuable asset, as well as primary associations such as ACM, IEEE and Management Science.

Social Media Data Mining and Analytics

Gabor Szabo,Gungor Polatkan,P. Oscar Boykin,Antonios Chalkiopoulos
Social Media Data Mining and Analytics Book PDF

Author : Gabor Szabo,Gungor Polatkan,P. Oscar Boykin,Antonios Chalkiopoulos
Publisher : John Wiley & Sons
Page : 352 pages
File Size : 50,9 Mb
Release : 2018-10-23
Category : Computers
ISBN : 9781118824856

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Social Media Data Mining and Analytics by Gabor Szabo,Gungor Polatkan,P. Oscar Boykin,Antonios Chalkiopoulos Pdf

Harness the power of social media to predict customer behavior and improve sales Social media is the biggest source of Big Data. Because of this, 90% of Fortune 500 companies are investing in Big Data initiatives that will help them predict consumer behavior to produce better sales results. Social Media Data Mining and Analytics shows analysts how to use sophisticated techniques to mine social media data, obtaining the information they need to generate amazing results for their businesses. Social Media Data Mining and Analytics isn't just another book on the business case for social media. Rather, this book provides hands-on examples for applying state-of-the-art tools and technologies to mine social media - examples include Twitter, Wikipedia, Stack Exchange, LiveJournal, movie reviews, and other rich data sources. In it, you will learn: The four key characteristics of online services-users, social networks, actions, and content The full data discovery lifecycle-data extraction, storage, analysis, and visualization How to work with code and extract data to create solutions How to use Big Data to make accurate customer predictions How to personalize the social media experience using machine learning Using the techniques the authors detail will provide organizations the competitive advantage they need to harness the rich data available from social media platforms.

Data Mining in Dynamic Social Networks and Fuzzy Systems

Bhatnagar, Vishal
Data Mining in Dynamic Social Networks and Fuzzy Systems Book PDF

Author : Bhatnagar, Vishal
Publisher : IGI Global
Page : 412 pages
File Size : 48,9 Mb
Release : 2013-06-30
Category : Computers
ISBN : 9781466642140

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Data Mining in Dynamic Social Networks and Fuzzy Systems by Bhatnagar, Vishal Pdf

Many organizations, whether in the public or private sector, have begun to take advantage of the tools and techniques used for data mining. Utilizing data mining tools, these organizations are able to reveal the hidden and unknown information from available data. Data Mining in Dynamic Social Networks and Fuzzy Systems brings together research on the latest trends and patterns of data mining tools and techniques in dynamic social networks and fuzzy systems. With these improved modern techniques of data mining, this publication aims to provide insight and support to researchers and professionals concerned with the management of expertise, knowledge, information, and organizational development.

Advances in Computing and Information Technology

Natarajan Meghanathan,Dhinaharan Nagamalai,Nabendu Chaki
Advances in Computing and Information Technology Book PDF

Author : Natarajan Meghanathan,Dhinaharan Nagamalai,Nabendu Chaki
Publisher : Springer Science & Business Media
Page : 712 pages
File Size : 45,8 Mb
Release : 2012-08-13
Category : Computers
ISBN : 9783642315992

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Advances in Computing and Information Technology by Natarajan Meghanathan,Dhinaharan Nagamalai,Nabendu Chaki Pdf

The international conference on Advances in Computing and Information technology (ACITY 2012) provides an excellent international forum for both academics and professionals for sharing knowledge and results in theory, methodology and applications of Computer Science and Information Technology. The Second International Conference on Advances in Computing and Information technology (ACITY 2012), held in Chennai, India, during July 13-15, 2012, covered a number of topics in all major fields of Computer Science and Information Technology including: networking and communications, network security and applications, web and internet computing, ubiquitous computing, algorithms, bioinformatics, digital image processing and pattern recognition, artificial intelligence, soft computing and applications. Upon a strength review process, a number of high-quality, presenting not only innovative ideas but also a founded evaluation and a strong argumentation of the same, were selected and collected in the present proceedings, that is composed of three different volumes.

From Social Data Mining and Analysis to Prediction and Community Detection

Mehmet Kaya,Özcan Erdoǧan,Jon Rokne
From Social Data Mining and Analysis to Prediction and Community Detection Book PDF

Author : Mehmet Kaya,Özcan Erdoǧan,Jon Rokne
Publisher : Springer
Page : 245 pages
File Size : 43,9 Mb
Release : 2017-03-21
Category : Computers
ISBN : 9783319513676

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From Social Data Mining and Analysis to Prediction and Community Detection by Mehmet Kaya,Özcan Erdoǧan,Jon Rokne Pdf

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 such as the latest in sentiment trends research and a variety of techniques for community detection and analysis. The book collects chapters that are expanded versions of the best papers presented at the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM’2015), which was held in Paris, France in August 2015. All papers have been peer reviewed and checked carefully for overlap with the literature. The book will appeal to students and researchers in social network analysis/mining and machine learning.

Cognitive Social Mining Applications in Data Analytics and Forensics

Haldorai, Anandakumar,Ramu, Arulmurugan
Cognitive Social Mining Applications in Data Analytics and Forensics Book PDF

Author : Haldorai, Anandakumar,Ramu, Arulmurugan
Publisher : IGI Global
Page : 326 pages
File Size : 54,6 Mb
Release : 2018-12-14
Category : Computers
ISBN : 9781522575238

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Cognitive Social Mining Applications in Data Analytics and Forensics by Haldorai, Anandakumar,Ramu, Arulmurugan Pdf

Recently, there has been a rapid increase in interest regarding social network analysis in the data mining community. Cognitive radios are expected to play a major role in meeting this exploding traffic demand on social networks due to their ability to sense the environment, analyze outdoor parameters, and then make decisions for dynamic time, frequency, space, resource allocation, and management to improve the utilization of mining the social data. Cognitive Social Mining Applications in Data Analytics and Forensics is an essential reference source that reviews cognitive radio concepts and examines their applications to social mining using a machine learning approach so that an adaptive and intelligent mining is achieved. Featuring research on topics such as data mining, real-time ubiquitous social mining services, and cognitive computing, this book is ideally designed for social network analysts, researchers, academicians, and industry professionals.

Social Media Data Mining and Analytics

Gabor Szabo,Gungor Polatkan,P. Oscar Boykin,Antonios Chalkiopoulos
Social Media Data Mining and Analytics Book PDF

Author : Gabor Szabo,Gungor Polatkan,P. Oscar Boykin,Antonios Chalkiopoulos
Publisher : John Wiley & Sons
Page : 352 pages
File Size : 44,9 Mb
Release : 2018-09-18
Category : Computers
ISBN : 9781118824900

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Social Media Data Mining and Analytics by Gabor Szabo,Gungor Polatkan,P. Oscar Boykin,Antonios Chalkiopoulos Pdf

Harness the power of social media to predict customer behavior and improve sales Social media is the biggest source of Big Data. Because of this, 90% of Fortune 500 companies are investing in Big Data initiatives that will help them predict consumer behavior to produce better sales results. Social Media Data Mining and Analytics shows analysts how to use sophisticated techniques to mine social media data, obtaining the information they need to generate amazing results for their businesses. Social Media Data Mining and Analytics isn't just another book on the business case for social media. Rather, this book provides hands-on examples for applying state-of-the-art tools and technologies to mine social media - examples include Twitter, Wikipedia, Stack Exchange, LiveJournal, movie reviews, and other rich data sources. In it, you will learn: The four key characteristics of online services-users, social networks, actions, and content The full data discovery lifecycle-data extraction, storage, analysis, and visualization How to work with code and extract data to create solutions How to use Big Data to make accurate customer predictions How to personalize the social media experience using machine learning Using the techniques the authors detail will provide organizations the competitive advantage they need to harness the rich data available from social media platforms.

Social Media Mining and Social Network Analysis: Emerging Research

Xu, Guandong
Social Media Mining and Social Network Analysis Emerging Research Book PDF

Author : Xu, Guandong
Publisher : IGI Global
Page : 272 pages
File Size : 45,8 Mb
Release : 2013-01-31
Category : Computers
ISBN : 9781466628076

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Social Media Mining and Social Network Analysis: Emerging Research by Xu, Guandong Pdf

Social Media Mining and Social Network Analysis: Emerging Research highlights the advancements made in social network analysis and social web mining and its influence in the fields of computer science, information systems, sociology, organization science discipline and much more. This collection of perspectives on developmental practice is useful for industrial practitioners as well as researchers and scholars.

Data Mining Approaches for Big Data and Sentiment Analysis in Social Media

Brij Gupta,Ahmed A. Abd El-Latif,Dragan Perakovic
Data Mining Approaches for Big Data and Sentiment Analysis in Social Media Book PDF

Author : Brij Gupta,Ahmed A. Abd El-Latif,Dragan Perakovic
Publisher : Unknown
Page : 336 pages
File Size : 55,7 Mb
Release : 2021
Category : Big data
ISBN : 1799884147

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Data Mining Approaches for Big Data and Sentiment Analysis in Social Media by Brij Gupta,Ahmed A. Abd El-Latif,Dragan Perakovic Pdf

"This book explores the key concepts of data mining and utilizing them on online social media platforms, offering valuable insight into data mining approaches for big data and sentiment analysis in online social media and covering many important security and other aspects and current trends"--

Mining the Social Web

Matthew Russell
Mining the Social Web Book PDF

Author : Matthew Russell
Publisher : "O'Reilly Media, Inc."
Page : 356 pages
File Size : 52,6 Mb
Release : 2011-01-21
Category : Computers
ISBN : 9781449388348

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Mining the Social Web by Matthew Russell Pdf

Facebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data, but how can you find out who's making connections with social media, what they’re talking about, or where they’re located? This concise and practical book shows you how to answer these questions and more. You'll learn how to combine social web data, analysis techniques, and visualization to help you find what you've been looking for in the social haystack, as well as useful information you didn't know existed. Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools. Get a straightforward synopsis of the social web landscape Use adaptable scripts on GitHub to harvest data from social network APIs such as Twitter, Facebook, and LinkedIn Learn how to employ easy-to-use Python tools to slice and dice the data you collect Explore social connections in microformats with the XHTML Friends Network Apply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detection Build interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits "Let Matthew Russell serve as your guide to working with social data sets old (email, blogs) and new (Twitter, LinkedIn, Facebook). Mining the Social Web is a natural successor to Programming Collective Intelligence: a practical, hands-on approach to hacking on data from the social Web with Python." --Jeff Hammerbacher, Chief Scientist, Cloudera "A rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data." --Alex Martelli, Senior Staff Engineer, Google

Social Networking

Mrutyunjaya Panda,Satchidananda Dehuri,Gi-Nam Wang
Social Networking Book PDF

Author : Mrutyunjaya Panda,Satchidananda Dehuri,Gi-Nam Wang
Publisher : Springer
Page : 297 pages
File Size : 42,5 Mb
Release : 2014-07-08
Category : Technology & Engineering
ISBN : 9783319051642

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Social Networking by Mrutyunjaya Panda,Satchidananda Dehuri,Gi-Nam Wang Pdf

With the proliferation of social media and on-line communities in networked world a large gamut of data has been collected and stored in databases. The rate at which such data is stored is growing at a phenomenal rate and pushing the classical methods of data analysis to their limits. This book presents an integrated framework of recent empirical and theoretical research on social network analysis based on a wide range of techniques from various disciplines like data mining, social sciences, mathematics, statistics, physics, network science, machine learning with visualization techniques and security. The book illustrates the potential of multi-disciplinary techniques in various real life problems and intends to motivate researchers in social network analysis to design more effective tools by integrating swarm intelligence and data mining.

Social Media Mining

Reza Zafarani,Mohammad Ali Abbasi,Huan Liu
Social Media Mining Book PDF

Author : Reza Zafarani,Mohammad Ali Abbasi,Huan Liu
Publisher : Cambridge University Press
Page : 337 pages
File Size : 40,5 Mb
Release : 2014-04-28
Category : Computers
ISBN : 9781107018853

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Social Media Mining by Reza Zafarani,Mohammad Ali Abbasi,Huan Liu Pdf

Integrates social media, social network analysis, and data mining to provide an understanding of the potentials of social media mining.

Advanced Data Mining Tools and Methods for Social Computing

Sourav De,Sandip Dey,Siddhartha Bhattacharyya,Surbhi Bhatia Khan
Advanced Data Mining Tools and Methods for Social Computing Book PDF

Author : Sourav De,Sandip Dey,Siddhartha Bhattacharyya,Surbhi Bhatia Khan
Publisher : Academic Press
Page : 294 pages
File Size : 54,7 Mb
Release : 2022-01-14
Category : Computers
ISBN : 9780323857093

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Advanced Data Mining Tools and Methods for Social Computing by Sourav De,Sandip Dey,Siddhartha Bhattacharyya,Surbhi Bhatia Khan Pdf

Advanced Data Mining Tools and Methods for Social Computing explores advances in the latest data mining tools, methods, algorithms and the architectures being developed specifically for social computing and social network analysis. The book reviews major emerging trends in technology that are supporting current advancements in social networks, including data mining techniques and tools. It also aims to highlight the advancement of conventional approaches in the field of social networking. Chapter coverage includes reviews of novel techniques and state-of-the-art advances in the area of data mining, machine learning, soft computing techniques, and their applications in the field of social network analysis. Provides insights into the latest research trends in social network analysis Covers a broad range of data mining tools and methods for social computing and analysis Includes practical examples and case studies across a range of tools and methods Features coding examples and supplementary data sets in every chapter

Network Data Mining And Analysis

Gao Ming,Lim Ee-peng,Lo David
Network Data Mining And Analysis Book PDF

Author : Gao Ming,Lim Ee-peng,Lo David
Publisher : World Scientific
Page : 204 pages
File Size : 46,8 Mb
Release : 2018-09-27
Category : Computers
ISBN : 9789813274976

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Network Data Mining And Analysis by Gao Ming,Lim Ee-peng,Lo David Pdf

Online social networking sites like Facebook, LinkedIn, and Twitter, offer millions of members the opportunity to befriend one another, send messages to each other, and post content on the site — actions which generate mind-boggling amounts of data every day.To make sense of the massive data from these sites, we resort to social media mining to answer questions like the following:Social media shatters the boundaries between the real world and the virtual world. We can now integrate social theories with computational methods to study how individuals interact with each other and how social communities form in bipartite and signed networks. The uniqueness of social media data calls for novel data mining techniques that can effectively handle user generated content with rich social relations. The study and development of these new techniques are under the purview of social media mining, an emerging discipline under the umbrella of data mining. Social Media Mining is the process of representing, analyzing, and extracting actionable patterns from social media data.