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The Future of Cultural Analysis : A Critical Inquiry
Across the humanities and the social sciences, “cultural analysis” is a vibrant research practice.Since its introduction in the 1990s, its main principles have remained largely the same: interdisciplinarity, political urgency, a heuristic use of concepts, the detailed analysis of objects of culture, and an awareness of the scholar’s situatedness in the present.But is the practice still suited to the spiraling of social, political, and environmental crises that mark our time?Drawing on experiences in research, teaching, activism, and the creative arts, contributors explore what cultural analysis was back then, what it is now, and what it may be by 2034.In a shifting conjuncture, contributors strike notes of discomfort, defiance, and irony—as well as a renewed sense of urgency and care.
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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a prime example: when the second edition was published, P* models were the recommended approach for this, but they have been replaced by ERGMs.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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Inferential Network Analysis
This unique textbook provides an introduction to statistical inference with network data.The authors present a self-contained derivation and mathematical formulation of methods, review examples, and real-world applications, as well as provide data and code in the R environment that can be customised.Inferential network analysis transcends fields, and examples from across the social sciences are discussed (from management to electoral politics), which can be adapted and applied to a panorama of research.From scholars to undergraduates, spanning the social, mathematical, computational and physical sciences, readers will be introduced to inferential network models and their extensions.The exponential random graph model and latent space network model are paid particular attention and, fundamentally, the reader is given the tools to independently conduct their own analyses.
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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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Are you more of a network optimist or a skeptic?
I am more of a network optimist. I believe in the power of networking and the potential for positive connections and opportunities that can arise from building and maintaining a strong network. I am optimistic about the value of networking in both personal and professional settings, and I actively seek out opportunities to expand and strengthen my network. I believe that networking can lead to meaningful relationships, collaborations, and growth.
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How does network analysis work in electrical engineering?
Network analysis in electrical engineering involves studying and analyzing the behavior of electrical circuits. This analysis helps in understanding how different components in a circuit interact with each other and how signals flow through the network. By using techniques such as Kirchhoff's laws, nodal analysis, and mesh analysis, engineers can determine important parameters like voltage, current, power, and impedance in a circuit. This information is crucial for designing, optimizing, and troubleshooting electrical systems. Overall, network analysis plays a key role in ensuring the efficient and reliable operation of electrical networks.
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What is your question about network marketing?
My question about network marketing is how to effectively build and maintain a strong network of customers and distributors. I am interested in learning about successful strategies for prospecting, recruiting, and retaining team members, as well as how to effectively promote and sell products or services within a network marketing business. Additionally, I am curious about the best ways to leverage social media and other online platforms to grow a network marketing business.
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What is your question about the PS Network?
My question about the PS Network is regarding its security measures and how it protects users' personal and financial information. I am also interested in knowing how the PS Network handles data breaches and what steps they take to ensure the safety of their users' information. Additionally, I would like to understand the process for reporting any suspicious activity or security concerns on the PS Network.
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Critical Doubt
They met in a war-torn city on the other side of the world and shared an anonymous night of passion. They didn't intend to meet again. Nor did they think they'd be reunited by sinister secrets... Five years later, FBI Agent Savannah Kane is headed to a small town in Georgia for the funeral of her best friend's husband. Going home is fraught with complications, but Savannah never imagined one of those would be Ryker Stone, the stranger she'd shared an unforgettable night with.Haunted by an ambush that took the lives of two men in his unit, Ryker now copes by living a solitary civilian life. Attending the funeral of yet another soldier, this one lost to a senseless accident, he is shocked to run into the beautiful stranger he has never forgotten.When another man in Ryker's former unit dies under suspicious circumstances, it's clear that someone is targeting his team. He's determined to get the truth; Savannah is just as determined to get answers for her friend. Neither wants to work with the other, and as they struggle with trust and attraction, the truth grows murkier...and more dangerous. Will finding answers reveal secrets neither one of them is ready to know? Don't miss this twisting, suspenseful, romantic page-turner by #1 New York Times Bestselling Author Barbara Freethy!
Price: 15.99 £ | Shipping*: 3.99 £ -
Critical Doubt
They met in a war-torn city on the other side of the world and shared an anonymous night of passion. They didn't intend to meet again. Nor did they think they'd be reunited by sinister secrets... Five years later, FBI Agent Savannah Kane is headed to a small town in Georgia for the funeral of her best friend's husband. Going home is fraught with complications, but Savannah never imagined one of those would be Ryker Stone, the stranger she'd shared an unforgettable night with.Haunted by an ambush that took the lives of two men in his unit, Ryker now copes by living a solitary civilian life. Attending the funeral of yet another soldier, this one lost to a senseless accident, he is shocked to run into the beautiful stranger he has never forgotten.When another man in Ryker's former unit dies under suspicious circumstances, it's clear that someone is targeting his team. He's determined to get the truth; Savannah is just as determined to get answers for her friend. Neither wants to work with the other, and as they struggle with trust and attraction, the truth grows murkier...and more dangerous. Will finding answers reveal secrets neither one of them is ready to know? Don't miss this twisting, suspenseful, romantic page-turner by #1 New York Times Bestselling Author Barbara Freethy!
Price: 25.99 £ | Shipping*: 3.99 £ -
Complex Network Analysis in Python
Construct, analyze, and visualize networks with networkx, a Python language module.Network analysis is a powerful tool you can apply to a multitude of datasets and situations.Discover how to work with all kinds of networks, including social, product, temporal, spatial, and semantic networks.Convert almost any real-world data into a complex network--such as recommendations on co-using cosmetic products, muddy hedge fund connections, and online friendships.Analyze and visualize the network, and make business decisions based on your analysis.If you're a curious Python programmer, a data scientist, or a CNA specialist interested in mechanizing mundane tasks, you'll increase your productivity exponentially. Complex network analysis used to be done by hand or with non-programmable network analysis tools, but not anymore!You can now automate and program these tasks in Python.Complex networks are collections of connected items, words, concepts, or people.By exploring their structure and individual elements, we can learn about their meaning, evolution, and resilience. Starting with simple networks, convert real-life and synthetic network graphs into networkx data structures.Look at more sophisticated networks and learn more powerful machinery to handle centrality calculation, blockmodeling, and clique and community detection.Get familiar with presentation-quality network visualization tools, both programmable and interactive--such as Gephi, a CNA explorer.Adapt the patterns from the case studies to your problems.Explore big networks with NetworKit, a high-performance networkx substitute.Each part in the book gives you an overview of a class of networks, includes a practical study of networkx functions and techniques, and concludes with case studies from various fields, including social networking, anthropology, marketing, and sports analytics. Combine your CNA and Python programming skills to become a better network analyst, a more accomplished data scientist, and a more versatile programmer. What You Need: You will need a Python 3.x installation with the following additional modules: Pandas (>=0.18), NumPy (>=1.10), matplotlib (>=1.5), networkx (>=1.11), python-louvain (>=0.5), NetworKit (>=3.6), and generalizesimilarity.We recommend using the Anaconda distribution that comes with all these modules, except for python-louvain, NetworKit, and generalizedsimilarity, and works on all major modern operating systems.
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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.
Price: 17.99 £ | Shipping*: 3.99 £
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What is your question about home network configuration?
My question about home network configuration is how to set up a secure and reliable Wi-Fi network for my home. I want to know the best practices for securing my network, such as setting up strong passwords, enabling encryption, and implementing firewalls. Additionally, I am interested in learning about optimizing the placement of my router and using network extenders to ensure good coverage throughout my home. Finally, I would like to understand how to prioritize and manage the devices connected to my network to ensure smooth and efficient performance.
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Can I simply move resistors in electrical engineering during network analysis?
In electrical engineering, resistors can be moved during network analysis if they are connected in series or parallel. When resistors are connected in series, they can be moved to different locations within the circuit without affecting the overall resistance. Similarly, resistors connected in parallel can also be moved without changing the total resistance. However, if the resistors are part of a more complex circuit with multiple connections, their movement may affect the overall behavior of the circuit and should be carefully analyzed.
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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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