Analyzing Social Knowledge


Book Description

Analyzing Social Knowledge argues for both socialized and naturalized epistemology. J. Angelo Corlett takes social epistemology in a new direction, applying the findings of experimental cognitive psychology to theories of social knowledge. Corlett analyzes social knowlegde in terms of group belief, individual belief, truth, justification, coherence, and reliability and responsibility. He provides a critique of leading theories of social knowledge and defends his analysis against respected criticisms of naturalized epistemology. The far-reaching implications of Analyzing Social Knowledge will interest epistemoloogists, philosophers of the mind, and cognitive psychologists.




Advances in Social Network Analysis


Book Description

Social network analysis, a method for analyzing relationships between social entities, has expanded over the last decade as new research has been done in this area. How can these new developments be applied effectively in the behavioral and social sciences disciplines? In Advances in Social Network Analysis, a team of leading methodologists in network analysis addresses this issue. They explore such topics as ways to specify the network contents to be studied, how to select the method for representing network structures, how social network analysis has been used to study interorganizational relations via the resource dependence model, how to use a contact matrix for studying the spread of disease in epidemiology, and how cohesion and structural equivalence network theories relate to studying social influence. It also offers statistical models for social support networks. Advances in Social Network Analysis is useful for researchers involved in general research methods and qualitative methods, and who are interested in psychology and sociology.




Knowledge Discovery in the Social Sciences


Book Description

Knowledge Discovery in the Social Sciences helps readers find valid, meaningful, and useful information. It is written for researchers and data analysts as well as students who have no prior experience in statistics or computer science. Suitable for a variety of classes—including upper-division courses for undergraduates, introductory courses for graduate students, and courses in data management and advanced statistical methods—the book guides readers in the application of data mining techniques and illustrates the significance of newly discovered knowledge. Readers will learn to: • appreciate the role of data mining in scientific research • develop an understanding of fundamental concepts of data mining and knowledge discovery • use software to carry out data mining tasks • select and assess appropriate models to ensure findings are valid and meaningful • develop basic skills in data preparation, data mining, model selection, and validation • apply concepts with end-of-chapter exercises and review summaries




Analyzing Social and Political Change


Book Description

Understanding change over time is a central concern for research in sociology, political science, education, geography and related disciplines. It is also an issue which presents significant methodological problems, in response to which different techniques have been developed - for example, time series analysis, multilevel models, log-linear models and event history analysis. Outlining the nature of such techniques, this accessible collection covers: the respective values of cross-sectional and longitudinal data in the analysis of change; the variety of methods available for the analysis of change over time; the types of research objective to which various techniques are suited; the limitations and constraints of individual methods; and the different philosophies which underlie particular approaches.




Social Knowledge: Using Social Media to Know What You Know


Book Description

"This book provides relevant theoretical frameworks, latest empirical research findings, and practitioners' best practices social knowledge, for improving understanding of the strategic role of social knowledge in business, government, or non-profit sectors"--Provided by publisher.




Data Analysis for Social Science


Book Description

"Data analysis has become a necessary skill across the social sciences, and recent advancements in computing power have made knowledge of programming an essential component. Yet most data science books are intimidating and overwhelming to a non-specialist audience, including most undergraduates. This book will be a shorter, more focused and accessible version of Kosuke Imai's Quantitative Social Science book, which was published by Princeton in 2018 and has been adopted widely in graduate level courses of the same title. This book uses the same innovative approach as Quantitative Social Science , using real data and 'R' to answer a wide range of social science questions. It assumes no prior knowledge of statistics or coding. It starts with straightforward, simple data analysis and culminates with multivariate linear regression models, focusing more on the intuition of how the math works rather than the math itself. The book makes extensive use of data visualizations, diagrams, pictures, cartoons, etc., to help students understand and recall complex concepts, provides an easy to follow, step-by-step template of how to conduct data analysis from beginning to end, and will be accompanied by supplemental materials in the appendix and online for both students and instructors"--




Social Knowledge in the Making


Book Description

Over the past quarter century, researchers have successfully explored the inner workings of the physical and biological sciences using a variety of social and historical lenses. Inspired by these advances, the contributors to Social Knowledge in the Making turn their attention to the social sciences, broadly construed. The result is the first comprehensive effort to study and understand the day-to-day activities involved in the creation of social-scientific and related forms of knowledge about the social world. The essays collected here tackle a range of previously unexplored questions about the practices involved in the production, assessment, and use of diverse forms of social knowledge. A stellar cast of multidisciplinary scholars addresses topics such as the changing practices of historical research, anthropological data collection, library usage, peer review, and institutional review boards. Turning to the world beyond the academy, other essays focus on global banks, survey research organizations, and national security and economic policy makers. Social Knowledge in the Making is a landmark volume for a new field of inquiry, and the bold new research agenda it proposes will be welcomed in the social science, the humanities, and a broad range of nonacademic settings.




Social Network Analysis


Book Description

SOCIAL NETWORK ANALYSIS As social media dominates our lives in increasing intensity, the need for developers to understand the theory and applications is ongoing as well. This book serves that purpose. Social network analysis is the solicitation of network science on social networks, and social occurrences are denoted and premeditated by data on coinciding pairs as the entities of opinion. The book features: Social network analysis from a computational perspective using python to show the significance of fundamental facets of network theory and the various metrics used to measure the social network. An understanding of network analysis and motivations to model phenomena as networks. Real-world networks established with human-related data frequently display social properties, i.e., patterns in the graph from which human behavioral patterns can be analyzed and extracted. Exemplifies information cascades that spread through an underlying social network to achieve widespread adoption. Network analysis that offers an appreciation method to health systems and services to illustrate, diagnose, and analyze networks in health systems. The social web has developed a significant social and interactive data source that pays exceptional attention to social science and humanities research. The benefits of artificial intelligence enable social media platforms to meet an increasing number of users and yield the biggest marketplace, thus helping social networking analysis distribute better customer understanding and aiding marketers to target the right customers. Audience The book will interest computer scientists, AI researchers, IT and software engineers, mathematicians.




Sentiment Analysis in Social Networks


Book Description

The aim of Sentiment Analysis is to define automatic tools able to extract subjective information from texts in natural language, such as opinions and sentiments, in order to create structured and actionable knowledge to be used by either a decision support system or a decision maker. Sentiment analysis has gained even more value with the advent and growth of social networking. Sentiment Analysis in Social Networks begins with an overview of the latest research trends in the field. It then discusses the sociological and psychological processes underling social network interactions. The book explores both semantic and machine learning models and methods that address context-dependent and dynamic text in online social networks, showing how social network streams pose numerous challenges due to their large-scale, short, noisy, context- dependent and dynamic nature. Further, this volume: - Takes an interdisciplinary approach from a number of computing domains, including natural language processing, machine learning, big data, and statistical methodologies - Provides insights into opinion spamming, reasoning, and social network analysis - Shows how to apply sentiment analysis tools for a particular application and domain, and how to get the best results for understanding the consequences - Serves as a one-stop reference for the state-of-the-art in social media analytics - Takes an interdisciplinary approach from a number of computing domains, including natural language processing, big data, and statistical methodologies - Provides insights into opinion spamming, reasoning, and social network mining - Shows how to apply opinion mining tools for a particular application and domain, and how to get the best results for understanding the consequences - Serves as a one-stop reference for the state-of-the-art in social media analytics




Knowledge in a Social World


Book Description

Knowledge in a Social World offers a philosophy for the information age. Alvin Goldman explores new frontiers by creating a thoroughgoing social epistemology, moving beyond the traditional focus on solitary knowers. Social, cultural, and technological changes present new challenges to our ways of knowing and understanding, and philosophy must face these challenges. Against the tides of postmodernism and social constructionism Goldman defends the integrity of truth and shows how to promote it by well-designed forms of social interaction. He urges that social discourse promises more than the mere politics of consensus, and that suitably norm-governed debate and belief-revision can increase veridical knowledge. Goldman's aims are not just philosophical but practical. From science to education, from law to democracy, he shows why and how public institutions should seek knowledge-enhancing practices. He examines how cyberspace and other technologies expand the scope of communication, and warns of the need to safeguard content quality. He scrutinizes the free marketplace of ideas, the adversary system in the law, and media coverage of political campaigns. The result is a bold, timely, and systematic treatment of the philosophical foundations of an information society.




Recent Books