Products related to Network:
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Social Network Analysis
Incorporating the most important and cutting-edge developments in the field, this bestselling text introduces newcomers to the key theories and techniques of social network analysis and guides more experienced analysts in their own research. New to This Edition:A chapter on data collection, covering a crucial phase of the research processFully updated examples reiterate the continued importance of social network analysis in an increasingly interconnected worldDetailed ‘Further Reading’ sections help you explore the wider literaturePractical exercises including real-world examples of social networks enable you to apply your learningExpanded and brought right up-to-date, this classic text remains the indispensable guide to social network analysis for students, lecturers and researchers throughout the social sciences.
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Social Network Analysis
David Knoke and Song Yang's Social Network Analysis, Third Edition provides a concise introduction to the concepts and tools of social network analysis.The authors convey key material while at the same time minimizing technical complexities.The examples are simple: sets of 5 or 6 entities such as individuals, positions in a hierarchy, political offices, and nation-states, and the relations between them include friendship, communication, supervision, donations, and trade.The new edition reflects developments and changes in practice over the past decade.The authors also describe important recent developments in network analysis, especially in the fifth chapter.Exponential random graph models (ERGMs) are a prime example: when the second edition was published, P* models were the recommended approach for this, but they have been replaced by ERGMs. Finally, throughout the volume, the authors comment on the challenges and opportunities offered by internet and social media data.
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Social Network Computing
In the era of digital economy with highly-connected world, the ability to comprehend social network computing has become an indispensable skill.This book serves as a vital guide for academics and professionals engaged in research within this rapidly expanding field. The book is organized into three parts, each dedicated to different facets of social network computing.The journey commences with an exploration of foundational principles, encompassing triadic closure, strong and weak ties, network homophily, and positive and negative balance.This lays the groundwork for an in-depth examination of fundamental theories governing social networks.Subsequently, the focus shifts to the laws dictating social networks, elucidating phenomena like the small world effect, power law distribution, community detection, diffusion processes, game theory dynamics, and hypernetworks, also including multiplex networks, multi-mode networks and temporal networks.The final section of the book centers on the practical aspects of social network analysis, delving into topics such as link prediction, influence evaluation, dynamic analysis, random experiments, modeling and simulation, and representation learning.This provides a comprehensive exploration of the applicability of social network analysis in real-world scenarios. This book seamlessly integrates theory with practice by incorporating popular social network computing software, including igraph, Gephi, Ucinet, and Netlogo.By mastering the computational thinking methods presented in this book, readers will deepen their understanding of social network computing and acquire the skills to effectively apply it in various real-world contexts.
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Gathering Social Network Data
Gathering Social Network Data provides an important complement to existing books that focus on social network analysis, and offers more detailed coverage than is available in existing chapter-length treatments.In a single centralized source, author jimi adams provides: (1) a broad overview of the unique set of general principles underlying network data collection, and (2) guidance on many particular details needed for the application of these principles to particular research questions.As well as chapters on data collection methods, the book includes a chapter on data quality, and another on ethical considerations.
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Which platform is suitable for creating a social network?
There are several platforms suitable for creating a social network, but some popular options include WordPress with BuddyPress, Ning, and SocialEngine. These platforms offer a range of features such as user profiles, activity feeds, messaging, and group functionality, making them ideal for building a social network. Additionally, they often provide customization options and support for integrating third-party plugins and extensions to enhance the social networking experience. Ultimately, the best platform for creating a social network will depend on the specific needs and goals of the project.
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Which social network is the best?
The best social network is subjective and depends on individual preferences and needs. Some people may prefer Facebook for its wide range of features and large user base, while others may prefer Instagram for its focus on visual content and storytelling. Twitter is popular for its real-time updates and news sharing, while LinkedIn is preferred for professional networking. Ultimately, the best social network is the one that best meets the user's specific social and networking needs.
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What is not a social network?
A social network is a platform that allows users to connect and interact with others online. Examples of social networks include Facebook, Instagram, and Twitter. Non-social networks would be platforms that do not focus on connecting users with others, such as search engines like Google, e-commerce websites like Amazon, and news websites like CNN.
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What IT skills are needed for developing a platform in a social network?
Developing a platform in a social network requires a range of IT skills, including proficiency in programming languages such as JavaScript, Python, or PHP for building the backend infrastructure and front-end user interface. Knowledge of database management systems like MySQL or MongoDB is essential for storing and retrieving user data. Additionally, expertise in web development frameworks such as React or Angular, as well as experience with cloud computing platforms like AWS or Azure, is necessary for creating a scalable and secure platform. Finally, understanding of cybersecurity principles and best practices is crucial for protecting user data and ensuring the platform's integrity.
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Social Network Analysis : Research Methods
This book introduces the non-specialist reader to the principal ideas, nature and purpose of social network analysis.Social networks operate on many levels, from families up to the level of nations, and play a critical role in determining the way problems are solved, organizations are run, and the degree to which individuals achieve their goals.Social network theory maps these relationships between individual actors and has become hugely influential across the social sciences.Assuming no prior knowledge of quantitative sociology, and avoiding technicalities, this book presents the key ideas in context through examples and illustrations.Using a structured approach to understanding work in this area, John Scott signposts further reading and online sources so that readers can develop their knowledge and skills to become practitioners of this research method.A series of Frequently Asked Questions takes the reader through the main objections raised against social network analysis.The new edition updates the overview of the discipline with more recent work and current research in sociology.
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Network Analysis : Integrating Social Network Theory, Method, and Application with R
The size and availability of network information has exploded over the last decade.Social scientists now share the stage of network analysis with computer scientists, physicists, and statisticians.While a number of introductions to network analysis are now available, most focus on theory, methods, or application alone.This book integrates all three. Network Analysis is an introduction to both the why and how of Social Network Analysis (SNA).It presents a broad theoretical overview rooted in social scientific approaches and guides users in how network analysis can answer core theoretical questions.It provides a comprehensive overview of descriptive and analytical approaches, including practical tutorials in R with sample data sets.Using an integrated approach, this book aims to quickly bring novice network researchers up to speed while avoiding common programming and analysis mistakes so that they might gain insight into the fundamental theories, key concepts, and methodological application of SNA.
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Data Mining for Social Network Data
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.
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Which network should one use at home - public network, home network, or work network? Which is the safest?
For optimal security, it is recommended to use a home network at home. Home networks are typically more secure than public networks, as they are password-protected and offer more control over who can access the network. Public networks, such as those found in cafes or airports, are the least secure option as they are open to anyone and can be easily compromised by hackers. Work networks are secure but are typically designed for work-related activities and may have restrictions on personal use.
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Which network should one use at home - public network, home network, or workplace network? Which is the safest?
For optimal security, it is recommended to use a home network at home. Home networks are typically more secure than public networks as they are password-protected and controlled by the user. Workplace networks can also be secure, but they may have additional restrictions and monitoring in place. Public networks, such as those in cafes or airports, are the least secure option as they are open to anyone and can be easily compromised by hackers.
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How to create your own social network?
To create your own social network, you can start by defining the purpose and target audience for your network. Then, choose a platform or software to build your social network on, such as WordPress, BuddyPress, or Ning. Next, customize the design and features of your social network to align with your vision and the needs of your audience. Finally, promote your social network to attract users and engage with them to grow your community. Regularly update and maintain your social network to ensure its success and longevity.
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Is an internet forum a social network?
An internet forum is not typically considered a social network in the traditional sense. While both platforms facilitate communication and interaction between users, social networks are designed to connect individuals based on their personal relationships, interests, or professional connections, whereas internet forums are more focused on specific topics or interests. Social networks often include features such as friend requests, profiles, and news feeds, while forums are centered around discussions and threads related to a particular subject. However, some internet forums may have social networking elements, such as user profiles and private messaging, blurring the lines between the two types of platforms.
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