Products related to Social:
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Social Data Analytics
This book is an introduction to social data analytics along with its challenges and opportunities in the age of Big Data and Artificial Intelligence.It focuses primarily on concepts, techniques and methods for organizing, curating, processing, analyzing, and visualizing big social data: from text to image and video analytics.It provides novel techniques in storytelling with social data to facilitate the knowledge and fact discovery.The book covers a large body of knowledge that will help practitioners and researchers in understanding the underlying concepts, problems, methods, tools and techniques involved in modern social data analytics.It also provides real-world applications of social data analytics, including: Sales and Marketing, Influence Maximization, Situational Awareness, customer success and Segmentation, and performance analysis of the industry.It provides a deep knowledge in social data analytics by comprehensively classifying the current state of research, by describing in-depth techniques and methods, and by highlighting future research directions.Lecturers will find a wealth of material to choose from for a variety of courses, ranging from undergraduate courses in data science to graduate courses in data analytics.
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Spatial Regression Models for the Social Sciences
Spatial Regression Models for the Social Sciences shows researchers and students how to work with spatial data without the need for advanced mathematical statistics.Focusing on the methods that are commonly used by social scientists, Guangqing Chi and Jun Zhu explain what each method is and when and how to apply it by connecting it to social science research topics.Throughout the book they use the same social science example to demonstrate applications of each method and what the results can tell us.
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Social Media Analytics in Predicting Consumer Behavior
Information is very important for businesses. Businesses that use information correctly are successful while those that don’t, decline.Social media is an important source of data. This data brings us to social media analytics. Surveys are no longer the only way to hear the voice of consumers.With the data obtained from social media platforms, businesses can devise marketing strategies.It provides a better understanding consumer behavior.As consumers are at the center of all business activities, it is unrealistic to succeed without understanding consumption patterns.Social media analytics is useful, especially for marketers.Marketers can evaluate the data to make strategic marketing plans.Social media analytics and consumer behavior are two important issues that need to be addressed together.The book differs in that it handles social media analytics from a different perspective.It is planned that social media analytics will be discussed in detail in terms of consumer behavior in the book.The book will be useful to the students, businesses, and marketers in many aspects.
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Social Media Measurement and Management : Entrepreneurial Digital Analytics
This revised and updated textbook applies a critical and practical lens to the world of social media analytics.Author Jeremy Harris Lipschultz explores the foundations of digital data, strategic tools, and best practices in an accessible volume for students and practitioners of social media communication. This second edition expands upon entrepreneurship, marketing, and technological principles, demonstrating how raising awareness, sparking engagement, and producing business outcomes all require emphasis on customers, employees, and other stakeholders within paid, earned, social, and owned media.It also looks to the future, examining how the movement toward artificial intelligence and machine learning raises new legal and ethical issues in effective management of social media data.Additionally, the book offers a solid grounding in the principles of social media measurement itself, teaching the strategies and techniques that enable effective analysis.It features theoretical and practical advice, a comprehensive glossary of key terms, and case studies from academic and industry thought leaders. A perfect primer for this developing industry, this book is ideal for students, scholars, and practitioners of digital media seeking to hone their skills and expand their bank of new tools and resources.
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What is spatial visualization ability?
Spatial visualization ability refers to the capacity to mentally manipulate and comprehend spatial relationships between objects. Individuals with strong spatial visualization skills can easily visualize and understand how objects relate to each other in space, such as rotating or manipulating shapes in their mind. This ability is crucial in various fields such as engineering, architecture, and mathematics, as it allows individuals to solve complex problems and understand spatial concepts more effectively. Improving spatial visualization ability can enhance problem-solving skills and overall cognitive performance.
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Is spatial visualization important for engineers?
Yes, spatial visualization is important for engineers as it allows them to mentally manipulate and understand complex 3D objects and structures. Engineers often need to design and analyze various components and systems, and spatial visualization skills help them to conceptualize and communicate their ideas effectively. Whether it's designing a new product, creating blueprints for a building, or solving complex problems, spatial visualization is a crucial skill that allows engineers to think critically and innovate in their field.
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How does gentrification promote social spatial segregation?
Gentrification promotes social spatial segregation by displacing lower-income residents from their neighborhoods as property values increase and rents rise. This leads to the concentration of wealthier individuals in these areas, creating a divide between those who can afford to live in the newly gentrified neighborhoods and those who cannot. As a result, social and economic disparities are exacerbated, further segregating communities along class lines. Additionally, the influx of new amenities and services catering to higher-income residents can further isolate and exclude lower-income individuals from accessing resources in their own neighborhoods.
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Can one improve their spatial visualization skills?
Yes, it is possible to improve spatial visualization skills through practice and training. Engaging in activities such as puzzles, building models, and playing spatial reasoning games can help develop these skills. Additionally, practicing mental rotation exercises and regularly challenging oneself with spatial tasks can also contribute to improvement. With consistent effort and dedication, individuals can enhance their spatial visualization abilities over time.
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Social Urbanism : Reframing Spatial Design through our Collective Culture
This book serves as a critical review of Social Urbanism, defined as a socio-political and practical approach to urban globalisation, deriving from a planning strategy and portfolio of built projects that seek to alleviate the social consequences of urbanisation. It emphasises both the political processes and the urbanism projects that simultaneously consider socio-economic and ecological components of space, and which highlight a greater focus on social sustainability.In a context in which geography defines space and culture, and through challenges of a global magnitude, we are inextricably united in an era of environmental uncertainty, where shared experiences and values place us within a collective culture, inspiring mutual agency in service of this vision for Social Urbanism. Through the work presented here, Social Urbanism is expanded as a worldview that considers the cultural values of a given place as interconnected to the geographical landscape of the region, and therefore, as the driving forces behind future models of globalisation and urban growth.The points of view of multiple colleagues and experts across differing fields provide introspection on the implementation of Social Urbanism.These shared opinions strengthen the significance of this work and affirm the joint values and visions for the global urbanisation challenges we are confronting in the 21st century, and which continue into the future.
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Changing Neighbourhoods : Social and Spatial Polarization in Canadian Cities
Canadians have a right to live in cities that meet their basic needs in a dignified way, but in recent decades increased inequality and polarization have been reshaping the social landscape of Canada's urban areas.This book examines the dimensions and impacts of increased economic inequality and urban socio-spatial polarization since the 1980s.Based on the work of the Neighbourhood Change Research Partnership, an innovative national comparative study of seven major cities, the authors reveal the dynamics of neighbourhood change across the Canadian urban system.While the heart of the book lies in the project's findings from each city, other chapters provide important context.Taken together, they offer important understandings of the depth and the breadth of the problem at hand and signal the urgency for concerted policy responses in the decades to come.
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Mapping Texts : Computational Text Analysis for the Social Sciences
Learn how to conduct a robust text analysis project from start to finish--and then do it again.Mining is the dominant metaphor in computational text analysis.When mining texts, the implied assumption is that analysts can find kernels of truth--they just have to sift through the rubbish first.In this book, Dustin Stoltz and Marshall Taylor encourage text analysts to work with a different metaphor in mind: mapping.When mapping texts, the goal is not necessarily to find meaningful needles in the haystack, but instead to create reductions of the text to document patterns.Just like with cartographic maps, though, the type and nature of the textual map is dependent on a range of decisions on the part of the researcher.Creating reproducible workflows is therefore critical for the text analyst. Mapping Texts offers a practical introduction to computational text analysis with step-by-step guides on how to conduct actual text analysis workflows in the R statistical computing environment.The focus is on social science questions and applications, with data ranging from fake news and presidential campaigns to Star Trek and pop stars.The book walks the reader through all facets of a text analysis workflow--from understanding the theories of language embedded in text analysis, all the way to more advanced and cutting-edge techniques. The book will prove useful not only to social scientists, but anyone interested in conducting text analysis projects.
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Challenges and Applications of Data Analytics in Social Perspectives
With exponentially increasing amounts of data accumulating in real-time, there is no reason why one should not turn data into a competitive advantage.While machine learning, driven by advancements in artificial intelligence, has made great strides, it has not been able to surpass a number of challenges that still prevail in the way of better success.Such limitations as the lack of better methods, deeper understanding of problems, and advanced tools are hindering progress. Challenges and Applications of Data Analytics in Social Perspectives provides innovative insights into the prevailing challenges in data analytics and its application on social media and focuses on various machine learning and deep learning techniques in improving practice and research.The content within this publication examines topics that include collaborative filtering, data visualization, and edge computing.It provides research ideal for data scientists, data analysts, IT specialists, website designers, e-commerce professionals, government officials, software engineers, social media analysts, industry professionals, academicians, researchers, and students.
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What are problems with spatial visualization skills?
Some problems with spatial visualization skills include difficulty in understanding and interpreting maps, graphs, and diagrams. Individuals with poor spatial visualization skills may struggle with tasks such as navigating through unfamiliar environments, understanding 3D objects, and mentally rotating objects. This can impact their performance in subjects such as math, science, and engineering, as well as in everyday activities such as driving and assembling furniture. Additionally, poor spatial visualization skills can lead to frustration and decreased confidence in one's abilities.
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What is the function of spatial visualization ability?
Spatial visualization ability allows individuals to mentally manipulate and understand spatial relationships between objects. This ability is crucial in fields such as engineering, architecture, and design, where individuals need to visualize and manipulate complex 3D objects and structures. It also plays a key role in tasks such as navigation, map reading, and understanding geometric concepts. Overall, spatial visualization ability is important for problem-solving, creativity, and understanding the physical world.
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What does it mean if someone lacks spatial visualization skills?
If someone lacks spatial visualization skills, it means that they have difficulty mentally manipulating and understanding spatial relationships between objects and shapes. This can manifest as challenges in tasks such as reading maps, understanding 3D objects, or visualizing how objects fit together in space. People with this difficulty may struggle with activities such as assembling furniture, reading graphs, or understanding geometric concepts. It's important to note that lacking spatial visualization skills does not indicate a lack of intelligence, but rather a specific cognitive challenge in this area.
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What is the social spatial structure of the city of Munich?
Munich is known for its well-planned urban layout, with a mix of historic architecture and modern developments. The city is divided into several distinct districts, each with its own unique character and social atmosphere. The city center, with its bustling streets and historic landmarks, is a hub of activity and culture. Surrounding neighborhoods offer a mix of residential areas, green spaces, and commercial districts, creating a diverse and dynamic social spatial structure throughout the city.
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