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Cybernatics. --- Webometrics. --- Cybernetics. --- Bibliometry, Web --- Cybermetrics --- Internetometrics --- Metrics, Web --- Netometrics --- Web bibliometry --- Web metrics --- Webometry --- Quantitative research --- World Wide Web --- Mechanical brains --- Control theory --- Electronics --- System theory --- Research
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Communication in politics --- Blogs --- Webometrics. --- Bibliometry, Web --- Cybermetrics --- Internetometrics --- Metrics, Web --- Netometrics --- Web bibliometry --- Web metrics --- Webometry --- Quantitative research --- World Wide Web --- Blogging --- Web logs --- Weblogs --- Diaries --- Social media --- Web sites --- Citizen journalism --- Political communication --- Political science --- Blogs. --- Political aspects. --- Research
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Discover the methodologies and best practices for getting started with container services monitoring using Prometheus, AppDynamics, and Dynatrace. The book begins with the basics of working with the containerization and microservices architecture while establishing the need for monitoring and management technologies. You’ll go through hands-on deployment, configuration, and best practices for Prometheus. Next, you’ll delve deeper into monitoring of container ecosystems for availability, performance, and logs, and then cover the reporting capabilities of Prometheus. Further, you’ll move on to advanced topics of extending Prometheus including how to develop new use cases and scenarios. You’ll then use enterprise tools such as AppDynamics and Wavefront to discover deeper application monitoring best practices. You’ll conclude with fully automated deployment of the monitoring and management platforms integrated with the container ecosystem using infrastructure-as -code tools such as Jenkins, Ansible and Terraform. The book provides sample code and best practices for you to look at container monitoring from a holistic viewpoint. This book is a good starting point for developers, architects, and administrators who want to learn about monitoring and management of cloud native and microservices containerized applications. You will: Examine the fundamentals of container monitoring Get an overview of the architecture for Prometheus and Alert Manager Enable Prometheus monitoring for containers Monitor containers using Wavefront Use the guidelines on container monitoring with enterprise solutions AppDynamics and Wavefront.
Application software. --- Open source software. --- Computer programming. --- Computer Applications. --- Open Source. --- Computers --- Electronic computer programming --- Electronic data processing --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Free software (Open source software) --- Open code software --- Opensource software --- Computer software --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Programming --- Webometrics. --- Bibliometry, Web --- Cybermetrics --- Internetometrics --- Metrics, Web --- Netometrics --- Web bibliometry --- Web metrics --- Webometry --- Quantitative research --- World Wide Web --- Research
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The growth of social media over the last decade has revolutionized the way individuals interact and industries conduct business. Individuals produce data at an unprecedented rate by interacting, sharing, and consuming content through social media. Understanding and processing this new type of data to glean actionable patterns presents challenges and opportunities for interdisciplinary research, novel algorithms and tool development. Social Media Mining integrates social media, social network analysis, and data mining to provide a coherent platform to understand the basics and potentials of social media mining. It introduces the unique problems arising from social media data and presents fundamental concepts, emerging issues, and effective algorithms for network analysis and data mining. Suitable for use in advanced undergraduate and beginning graduate courses as well as professional short courses, the text contains exercises of different degrees of difficulty that improve understanding and help apply concepts, principles and methods for social media mining.
Data mining. --- Social media --- Behavioral assessment --- Webometrics. --- Bibliometry, Web --- Cybermetrics --- Internetometrics --- Metrics, Web --- Netometrics --- Web bibliometry --- Web metrics --- Webometry --- Quantitative research --- World Wide Web --- Assessment of behavior --- Behavior assessment --- Behavioral analysis --- Behavioral evaluation --- Psychodiagnostics --- Psychology --- User-generated media --- Communication --- User-generated content --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Research. --- Data processing. --- Research --- Methodology --- Data mining --- Social media - Research --- Behavioral assessment - Data processing --- Webometrics
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"How can Twitter data be used to study individual-level human behavior and social interaction on a global scale? This book introduces readers to the methods, opportunities, and challenges of using Twitter data to analyze phenomena ranging from the number of people infected by the flu, to national elections, to tomorrow's stock prices. Each chapter, written by leading domain experts in clear and accessible language, takes the reader to the forefront of the newly emerging field of computational social science. An introductory chapter on Twitter data analysis provides an overview of key tools and skills, and gives pointers on how to get started, while the case studies demonstrate shortcomings, limitations, and pitfalls of Twitter data as well as its advantages. The book will be an excellent resource for social science students and researchers wanting to explore the use of online data"--
Dyadic analysis (Social sciences) --- Online social networks --- Social sciences --- Webometrics. --- Bibliometry, Web --- Cybermetrics --- Internetometrics --- Metrics, Web --- Netometrics --- Web bibliometry --- Web metrics --- Webometry --- Quantitative research --- World Wide Web --- Electronic social networks --- Social networking Web sites --- Virtual communities --- Social media --- Social networks --- Sociotechnical systems --- Web sites --- Dyadic data analysis (Social sciences) --- Sociometry --- Research. --- Research --- Methodology. --- Twitter. --- Communities, Online (Online social networks) --- Communities, Virtual (Online social networks) --- Online communities (Online social networks) --- Online social networks - Research --- Social sciences - Research - Methodology --- Webometrics --- X (Social networking service)
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Businesses, entrepreneurs, individuals, and government agencies alike are looking to social network analysis (SNA) tools for insight into trends, connections, and fluctuations in social media. Microsoft's NodeXL is a free, open-source SNA plug-in for use with Excel. It provides instant graphical representation of relationships of complex networked data. But it goes further than other SNA tools -- NodeXL was developed by a multidisciplinary team of experts that bring together information studies, computer science, sociology, human-computer interaction, and over 20 years of visual analytic
Programming --- Data mining --- Information visualization --- Webometrics --- Online social networks. --- Bibliometry, Web --- Cybermetrics --- Internetometrics --- Metrics, Web --- Netometrics --- Web bibliometry --- Web metrics --- Webometry --- Quantitative research --- World Wide Web --- Data visualization --- Visualization of information --- Information science --- Visual analytics --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Electronic social networks --- Social networking Web sites --- Virtual communities --- Social media --- Social networks --- Sociotechnical systems --- Web sites --- Computer programs. --- Research --- NodeXL. --- Communities, Online (Online social networks) --- Communities, Virtual (Online social networks) --- Online communities (Online social networks)
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Proposing a methodological outlook for social & cultural scholarly research on the Web this book seeks to move Internet research beyond the study of online culture.
Computer. Automation --- Science --- Methods in social research (general) --- Internet research. --- Internet searching. --- Web search engines. --- World Wide Web --- Internet --- Internet dans la recherche --- Recherche sur Internet --- Moteurs de recherche sur Internet --- Web --- Social aspects. --- Aspect social --- #SBIB:303H12 --- #SBIB:303H14 --- Methoden en technieken: sociale wetenschappen --- Methoden en technieken van de communicatiewetenschap --- Social media --- Webometrics. --- Research. --- INFORMATION SCIENCE/Internet Studies --- INFORMATION SCIENCE/General --- SOCIAL SCIENCES/Media Studies --- Bibliometry, Web --- Cybermetrics --- Internetometrics --- Metrics, Web --- Netometrics --- Web bibliometry --- Web metrics --- Webometry --- Quantitative research --- User-generated media --- Communication --- User-generated content --- Web searching --- World Wide Web searching --- Internet searching --- Search engines --- Web portals --- Searching the Internet --- Electronic information resource searching --- Internet research --- Web research --- Research --- Subject access --- Methodology
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Outside back cover : "This is a practical guide to using web metrics to measure impact and demonstrate value. The web provides an opportunity to collect a host of different metrics, from those associated with social media accounts and websites to more traditional research outputs. This book is a clear guide for library and information professionals as to what web metrics are available and how to assess and use them to make informed decisions and demonstrate value. As individuals and organizations increasingly use the web in addition to traditional publishing avenues and formats, this book provides the tools to unlock web metrics and evaluate the impact of this content. The key topics covered include: bibliometrics, webometrics and web metrics; data collection tools; evaluating impact on the web; evaluating social media impact; investigating relationships between actors; exploring traditional publications in a new environment; web metrics and the web of data; the future of web metrics and the library and information professional. The book will provide a practical introduction to web metrics for a wide range of library and information professionals, from the bibliometrician wanting to demonstrate the wider impact of a researcher's work than can be demonstrated through traditional citations databases, to the reference librarian wanting to measure how successfully they are engaging with their users on Twitter. It will be a valuable tool for anyone who wants to not only understand the impact of content, but demonstrate this impact to others within the organization and beyond.--
Information retrieval --- Computer architecture. Operating systems --- Library research --- Mass communications --- Webometrics --- Data mining. --- Library science. --- Cybermétrie --- Exploration de données (Informatique) --- Bibliothéconomie --- Resource description & access. --- Data mining --- Web usage mining --- Internet usage --- -Web site --- -028.7 --- Analysis, Web usage --- Analytics, Web --- Mining, Web usage --- Web analytics --- Web usage analysis --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Statistics --- -Data processing --- Evaluation. --- Webometrics. --- Cybermétrie --- Exploration de données (Informatique) --- Bibliothéconomie --- Librarianship --- Library economy --- Bibliometry, Web --- Cybermetrics --- Internetometrics --- Metrics, Web --- Netometrics --- Web bibliometry --- Web metrics --- Webometry --- RDA --- RDA: resource description & access --- RDA: resource description and access --- Resource description and access --- Bibliography --- Documentation --- Information science --- Quantitative research --- World Wide Web --- Research --- Library science --- Resource description & access --- Internet --- Librarians --- Library Services --- Research Support as Topic --- Information Storage and Retrieval --- utilization --- organization and administration --- Internet - utilization --- Library Services - organization and administration
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