Social Media Analytics For User Behavior Modeling

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Social Media Analytics for User Behavior Modeling

Arun Reddy Nelakurthi,Jingrui He
Social Media Analytics for User Behavior Modeling Book PDF

Author : Arun Reddy Nelakurthi,Jingrui He
Publisher : CRC Press
Page : 115 pages
File Size : 44,7 Mb
Release : 2020-01-21
Category : Computers
ISBN : 9781000025361

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Social Media Analytics for User Behavior Modeling by Arun Reddy Nelakurthi,Jingrui He Pdf

Winner of the "Outstanding Academic Title" recognition by Choice for the 2020 OAT Awards. The Choice OAT Award represents the highest caliber of scholarly titles that have been reviewed by Choice and conveys the extraordinary recognition of the academic community. In recent years social media has gained significant popularity and has become an essential medium of communication. Such user-generated content provides an excellent scenario for applying the metaphor of mining any information. Transfer learning is a research problem in machine learning that focuses on leveraging the knowledge gained while solving one problem and applying it to a different, but related problem. Features: Offers novel frameworks to study user behavior and for addressing and explaining task heterogeneity Presents a detailed study of existing research Provides convergence and complexity analysis of the frameworks Includes algorithms to implement the proposed research work Covers extensive empirical analysis Social Media Analytics for User Behavior Modeling: A Task Heterogeneity Perspective is a guide to user behavior modeling in heterogeneous settings and is of great use to the machine learning community.

Trends in Social Network Analysis

Rokia Missaoui,Talel Abdessalem,Matthieu Latapy
Trends in Social Network Analysis Book PDF

Author : Rokia Missaoui,Talel Abdessalem,Matthieu Latapy
Publisher : Springer
Page : 255 pages
File Size : 42,7 Mb
Release : 2017-04-29
Category : Computers
ISBN : 9783319534206

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Trends in Social Network Analysis by Rokia Missaoui,Talel Abdessalem,Matthieu Latapy Pdf

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.

Social Media Analytics for User Behavior Modeling

Arun Reddy Nelakurthi,Jingrui He
Social Media Analytics for User Behavior Modeling Book PDF

Author : Arun Reddy Nelakurthi,Jingrui He
Publisher : CRC Press
Page : 0 pages
File Size : 46,9 Mb
Release : 2020-01-29
Category : Computers
ISBN : 1000025403

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Social Media Analytics for User Behavior Modeling by Arun Reddy Nelakurthi,Jingrui He Pdf

In recent years social media has gained significant popularity and has become an essential medium of communication. Such user-generated content provides an excellent scenario for applying the metaphor of mining any information. Transfer learning is a research problem in machine learning that focuses on leveraging the knowledge gained while solving one problem and applying it to a different, but related problem. Features: Offers novel frameworks to study user behavior and for addressing and explaining task heterogeneity Presents a detailed study of existing research Provides convergence and complexity analysis of the frameworks Includes algorithms to implement the proposed research work Covers extensive empirical analysis Social Media Analytics for User Behavior Modeling: A Task Heterogeneity Perspective is a guide to user behavior modeling in heterogeneous settings and is of great use to the machine learning community.

Social Networking and Community Behavior Modeling: Qualitative and Quantitative Measures

Safar, Maytham
Social Networking and Community Behavior Modeling Qualitative and Quantitative Measures Book PDF

Author : Safar, Maytham
Publisher : IGI Global
Page : 401 pages
File Size : 52,9 Mb
Release : 2011-12-31
Category : Computers
ISBN : 9781613504451

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Social Networking and Community Behavior Modeling: Qualitative and Quantitative Measures by Safar, Maytham Pdf

Social Networking and Community Behavior Modeling: Qualitative and Quantitative Measures provides a clear and consolidated view of current social network models. This work explores new methods for modeling, characterizing, and constructing social networks. Chapters contained in this book study critical security issues confronting social networking, the emergence of new mobile social networking devices and applications, network robustness, and how social networks impact the business aspects of organizations.

Handbook of Research on Consumer Behavior Change and Data Analytics in the Socio-Digital Era

Keikhosrokiani, Pantea
Handbook of Research on Consumer Behavior Change and Data Analytics in the Socio Digital Era Book PDF

Author : Keikhosrokiani, Pantea
Publisher : IGI Global
Page : 484 pages
File Size : 43,6 Mb
Release : 2022-06-24
Category : Business & Economics
ISBN : 9781668441701

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Handbook of Research on Consumer Behavior Change and Data Analytics in the Socio-Digital Era by Keikhosrokiani, Pantea Pdf

The emergence of new technologies within the industrial revolution has transformed businesses to a new socio-digital era. In this new era, businesses are concerned with collecting data on customer needs, behaviors, and preferences for driving effective customer engagement and product development, as well as for crucial decision making. However, the ever-shifting behaviors of consumers provide many challenges for businesses to pinpoint the wants and needs of their audience. The Handbook of Research on Consumer Behavior Change and Data Analytics in the Socio-Digital Era focuses on the concepts, theories, and analytical techniques to track consumer behavior change. It provides multidisciplinary research and practice focusing on social and behavioral analytics to track consumer behavior shifts and improve decision making among businesses. Covering topics such as consumer sentiment analysis, emotional intelligence, and online purchase decision making, this premier reference source is a timely resource for business executives, entrepreneurs, data analysts, marketers, advertisers, government officials, social media professionals, libraries, students and educators of higher education, researchers, and academicians.

Web and Big Data

Lei Chen,Christian S. Jensen,Cyrus Shahabi,Xiaochun Yang,Xiang Lian
Web and Big Data Book PDF

Author : Lei Chen,Christian S. Jensen,Cyrus Shahabi,Xiaochun Yang,Xiang Lian
Publisher : Springer
Page : 662 pages
File Size : 53,7 Mb
Release : 2017-08-01
Category : Computers
ISBN : 9783319635798

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Web and Big Data by Lei Chen,Christian S. Jensen,Cyrus Shahabi,Xiaochun Yang,Xiang Lian Pdf

This two –volume set, LNCS 10366 and 10367, constitutes the thoroughly refereed proceedings of the First International Joint Conference, APWeb-WAIM 2017, held in Beijing, China in July 2017. The 44 full papers presented together with 32 short papers and 10 demonstrations papers were carefully reviewed and selected from 240 submissions. The papers are organized around the following topics: spatial data processing and data quality; graph data processing; data mining, privacy and semantic analysis; text and log data management; social networks; data mining and data streams; query processing; topic modeling; machine learning; recommendation systems; distributed data processing and applications; machine learning and optimization.

Advances in Artificial Intelligence-based Technologies

Maria Virvou,George A. Tsihrintzis,Lefteri H. Tsoukalas,Lakhmi C. Jain
Advances in Artificial Intelligence based Technologies Book PDF

Author : Maria Virvou,George A. Tsihrintzis,Lefteri H. Tsoukalas,Lakhmi C. Jain
Publisher : Springer Nature
Page : 241 pages
File Size : 50,6 Mb
Release : 2021-10-02
Category : Technology & Engineering
ISBN : 9783030805715

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Advances in Artificial Intelligence-based Technologies by Maria Virvou,George A. Tsihrintzis,Lefteri H. Tsoukalas,Lakhmi C. Jain Pdf

With the 4th Industrial Revolution ongoing and human societal organization being restructured into, so-called, “Society 5.0”, the field of Artificial Intelligence and related technologies is growing continuously and rapidly, developing in both itself and towards applications in many other disciplines. Researchers worldwide aim at incorporating cognitive abilities into machines, such as learning and problem solving. When machines and software systems have been enhanced with Artificial Intelligence components, they become better and more efficient at performing tasks. Consequently, Artificial Intelligence stands out as a research discipline due to its worldwide pace of growth in both theoretical advances and areas of application, while achieving very high rates of success and promising major impact in science, technology and society. The book at hand aims at exposing its readers to some of the most significant Advances in Artificial Intelligence Theory, Tools and Methodologies as well as Artificial Intelligence-based Applications and Services. The book consists of an editorial note and an additional eleven (11) chapters, all invited from authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into three parts, namely (i) Advances in Artificial Intelligence Tools and Methodologies, (ii) Advances in Artificial Intelligence-based Applications and Services, and (iii) Theoretical Advances in Computation and System Modeling. This research book is directed towards professors, researchers, scientists, engineers and students in Artificial Intelligence-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Artificial Intelligence-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the application areas of interest to them.

Social, Cultural, and Behavioral Modeling

Robert Thomson,Muhammad Nihal Hussain,Christopher Dancy,Aryn Pyke
Social Cultural and Behavioral Modeling Book PDF

Author : Robert Thomson,Muhammad Nihal Hussain,Christopher Dancy,Aryn Pyke
Publisher : Springer Nature
Page : 353 pages
File Size : 52,5 Mb
Release : 2021-07-03
Category : Computers
ISBN : 9783030803872

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Social, Cultural, and Behavioral Modeling by Robert Thomson,Muhammad Nihal Hussain,Christopher Dancy,Aryn Pyke Pdf

This book constitutes the proceedings of the 14th International Conference on Social, Cultural, and Behavioral Modeling, SBP-BRiMS 2021, which was held online during July 6–9, 2021. The 32 full papers presented in this volume were carefully reviewed and selected from 56 submissions. The papers were organized in topical sections as follows: COVID-related focus; methodologies; social cybersecurity and social networks; and human and agent modeling. They represent a wide number of disciplines including computer science, psychology, sociology, communication science, public health, bioinformatics, political science, and organizational science. Numerous types of computational methods are used including, but not limited to, machine learning, language technology, social network analysis and visualization, agent-based simulation, and statistics.

Handbook of Research on the Impacts and Implications of COVID-19 on the Tourism Industry

Demir, Mahmut,Dalg?ç, Ali,Ergen, Fatma Do?anay
Handbook of Research on the Impacts and Implications of COVID 19 on the Tourism Industry Book PDF

Author : Demir, Mahmut,Dalg?ç, Ali,Ergen, Fatma Do?anay
Publisher : IGI Global
Page : 906 pages
File Size : 42,5 Mb
Release : 2021-06-25
Category : Business & Economics
ISBN : 9781799882336

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Handbook of Research on the Impacts and Implications of COVID-19 on the Tourism Industry by Demir, Mahmut,Dalg?ç, Ali,Ergen, Fatma Do?anay Pdf

The tourism sector has been deeply affected particularly in economic terms by the COVID-19 pandemic. This crisis has led to new practices and radical changes. Scientists emphasize that mankind will face pandemics more frequently in the forthcoming years. Thus, it is important to understand the negative impacts the COVID-19 pandemic had on the tourism sector as well as the measures that were and are being put in place to protect the industry during future outbreaks. The Handbook of Research on the Impacts and Implications of COVID-19 on the Tourism Industry is a comprehensive reference source that reflects upon the evaluations of the experienced and ongoing pandemic crisis in the context of the tourism sector. The positive and negative effects experienced by tourism employees and tourists are examined, and post-pandemic processes and business practices are evaluated. Covering topics including consumer rights in tourism, dynamic changes in the tourism industry, and employment in tourism, this book is suitable for travel agencies, restaurateurs, hotel managers, brand managers, marketers, advertisers, managers, executives, hospitality personnel, policymakers, government officials, tourism practitioners, students, academicians, and researchers seeking the latest sustainable policies and practices that are being utilized to increase the productivity of the tourism sector and will allow it to thrive in the years to come.

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 : 53,6 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

Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis

Gabriele Meiselwitz
Social Computing and Social Media Design Ethics User Behavior and Social Network Analysis Book PDF

Author : Gabriele Meiselwitz
Publisher : Springer Nature
Page : 703 pages
File Size : 51,7 Mb
Release : 2020-07-10
Category : Computers
ISBN : 9783030495701

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Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis by Gabriele Meiselwitz Pdf

This two-volume set LNCS 12194 and 12195 constitutes the refereed proceedings of the 12th International Conference on Social Computing and Social Media, SCSM 2020, held as part of the 22nd International Conference, HCI International 2020, which was planned to be held in Copenhagen, Denmark, in July 2020. The conference was held virtually due to the COVID-19 pandemic. The total of 1439 papers and 238 posters have been accepted for publication in the HCII 2020 proceedings from a total of 6326 submissions. SCSM 2020 includes a total of 93 papers which are organized in topical sections named: Design Issues in Social Computing, Ethics and Misinformation in Social Media, User Behavior and Social Network Analysis, Participation and Collaboration in Online Communities, Social Computing and User Experience, Social Media Marketing and Consumer Experience, Social Computing for Well-Being, Learning, and Entertainment.

Social Media Analytics and Practical Applications

Subodha Kumar,Liangfei Qiu
Social Media Analytics and Practical Applications Book PDF

Author : Subodha Kumar,Liangfei Qiu
Publisher : CRC Press
Page : 68 pages
File Size : 53,5 Mb
Release : 2021-12-30
Category : Technology & Engineering
ISBN : 9781000515336

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Social Media Analytics and Practical Applications by Subodha Kumar,Liangfei Qiu Pdf

Social Media Analytics and Practical Applications: The Change to the Competition Landscape provides a framework that allows you to understand and analyze the impact of social media in various industries. It illustrates how social media analytics can help firms build transformational strategies and cope with the challenges of social media technology. By focusing on the relationship between social media and other technology models, such as wisdom of crowds, healthcare, fintech and blockchain, machine learning methods, and 5G, this book is able to provide applications used to understand and analyze the impact of social media. Various industries are called out and illustrate how social media analytics can help firms build transformational strategies and at the same time cope with the challenges that are part of the landscape. The book discusses how social media is a driving force in shaping consumer behavior and spurring innovations by embracing and directly engaging with consumers on social media platforms. By closely reflecting on emerging practices, the book shows how to take advantage of recent advancements and how business operations are being revolutionized. Social Media Analytics and Practical Applications is written for academicians and professionals involved in social media and social media analytics.

Computer Supported Cooperative Work and Social Computing

Yuqing Sun,Dongning Liu,Hao Liao,Hongfei Fan,Liping Gao
Computer Supported Cooperative Work and Social Computing Book PDF

Author : Yuqing Sun,Dongning Liu,Hao Liao,Hongfei Fan,Liping Gao
Publisher : Springer Nature
Page : 725 pages
File Size : 53,9 Mb
Release : 2021-05-06
Category : Computers
ISBN : 9789811625404

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Computer Supported Cooperative Work and Social Computing by Yuqing Sun,Dongning Liu,Hao Liao,Hongfei Fan,Liping Gao Pdf

This book constitutes the refereed post-conference proceedings of the 15th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2020, held in Shenzhen, China, in November 2020. The 40 revised full papers and 15 revised short papers were carefully reviewed and selected from 137 submissions. The papers of this volume are organized in topical sections on: crowdsourcing, crowd intelligence, and crowd cooperative computing; domain-specific collaborative applications; collaborative mechanisms, models, approaches, algorithms, and systems; social media and online communities; and short papers.

Attribute-Based Encryption and Access Control

Dijiang Huang,Qiuxiang Dong,Yan Zhu
Attribute Based Encryption and Access Control Book PDF

Author : Dijiang Huang,Qiuxiang Dong,Yan Zhu
Publisher : CRC Press
Page : 339 pages
File Size : 45,7 Mb
Release : 2020-02-25
Category : Computers
ISBN : 9781351210591

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Attribute-Based Encryption and Access Control by Dijiang Huang,Qiuxiang Dong,Yan Zhu Pdf

This book covers a broader scope of Attribute-Based Encryption (ABE), from the background knowledge, to specific constructions, theoretic proofs, and applications. The goal is to provide in-depth knowledge usable for college students and researchers who want to have a comprehensive understanding of ABE schemes and novel ABE-enabled research and applications. The specific focus is to present the development of using new ABE features such as group-based access, ID-based revocation, and attributes management functions such as delegation, federation, and interoperability. These new capabilities can build a new ABE-based Attribute-Based Access Control (ABAC) solution that can incorporate data access policies and control into ciphertext. This book is also ideal for IT companies to provide them with the most recent technologies and research on how to implement data access control models for mobile and data-centric applications, where data access control does not need to rely on a fixed access control infrastructure. It’s also of interested to those working in security, to enable them to have the most recent developments in data access control such as ICN and Blockchain technologies. Features Covers cryptographic background knowledge for ABE and ABAC Features various ABE constructions to achieve integrated access control capabilities Offers a comprehensive coverage of ABE-based ABAC Provides ABE applications with real-world examples Advances the ABE research to support new mobile and data-centric applications

Temporal Modelling of Customer Behaviour

Ling Luo
Temporal Modelling of Customer Behaviour Book PDF

Author : Ling Luo
Publisher : Springer
Page : 123 pages
File Size : 54,8 Mb
Release : 2019-04-27
Category : Technology & Engineering
ISBN : 9783030182892

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Temporal Modelling of Customer Behaviour by Ling Luo Pdf

This book describes advanced machine learning models – such as temporal collaborative filtering, stochastic models and Bayesian nonparametrics – for analysing customer behaviour. It shows how they are used to track changes in customer behaviour, monitor the evolution of customer groups, and detect various factors, such as seasonal effects and preference drifts, that may influence customers’ purchasing behaviour. In addition, the book presents four case studies conducted with data from a supermarket health program in which the customers were segmented and the impact of promotional activities on different segments was evaluated. The outcomes confirm that the models developed here can be used to effectively analyse dynamic behaviour and increase customer engagement. Importantly, the methods introduced here can also be used to analyse other types of behavioural data such as activities on social networks, and educational systems.