humanities data in r exploring networks geospatial data images and text quantitative methods in the humanities and social sciences

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Humanities Data In R

Author : Taylor Arnold
ISBN : 9783319207025
Genre : Computers
File Size : 24. 54 MB
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​This pioneering book teaches readers to use R within four core analytical areas applicable to the Humanities: networks, text, geospatial data, and images. This book is also designed to be a bridge: between quantitative and qualitative methods, individual and collaborative work, and the humanities and social sciences. Humanities Data with R does not presuppose background programming experience. Early chapters take readers from R set-up to exploratory data analysis (continuous and categorical data, multivariate analysis, and advanced graphics with emphasis on aesthetics and facility). Following this, networks, geospatial data, image data, natural language processing and text analysis each have a dedicated chapter. Each chapter is grounded in examples to move readers beyond the intimidation of adding new tools to their research. Everything is hands-on: networks are explained using U.S. Supreme Court opinions, and low-level NLP methods are applied to short stories by Sir Arthur Conan Doyle. After working through these examples with the provided data, code and book website, readers are prepared to apply new methods to their own work. The open source R programming language, with its myriad packages and popularity within the sciences and social sciences, is particularly well-suited to working with humanities data. R packages are also highlighted in an appendix. This book uses an expanded conception of the forms data may take and the information it represents. The methodology will have wide application in classrooms and self-study for the humanities, but also for use in linguistics, anthropology, and political science. Outside the classroom, this intersection of humanities and computing is particularly relevant for research and new modes of dissemination across archives, museums and libraries. ​

Using Geodata And Geolocation In The Social Sciences

Author : David Abernathy
ISBN : 9781473965782
Genre : Social Science
File Size : 60. 79 MB
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Using Geodata and Geolocation in the Social Sciences: Mapping our Connected World provides an engaging and accessible introduction to the Geoweb with clear, step-by-step guides for: Capturing Geodata from sources including GPS, sensor networks and Twitter Visualizing Geodata using programmes including QGIS, GRASS and R Featuring colour images, practical exercises and a companion website packed with resources, this book is the perfect guide for students and teachers looking to incorporate location-based data into their social science research.

Qualitative Gis

Author : Meghan Cope
ISBN : 9781446244562
Genre : Science
File Size : 90. 1 MB
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Geographic Information Systems are an essential tool for analyzing and representing quantitative spatial data. Qualitative GIS explains the recent integration of qualitative research with Geographical Information Systems With a detailed contextualising introduction, the text is organised in three sections: Representation: examines how researchers are using GIS to create new types of representations; working with spatial data, maps, and othervisualizations to incorporate multiple meanings and to provide texture and context. Analysis: discusses the new techniques of analysis that are emerging at the margins between qualitative research and GIS, this in the wider context of a critical review of mixed-methods in geographical research Theory: questions how knowledge is produced, showing how ideas of 'science' and 'truth' inform research, and demonstrates how qualitative GIS can be used to interrogate discussions of power, community, and social action Making reference to representation, analysis, and theory throughout, the text shows how to frame questions, collect data, analyze results, and represent findings in a truly integrated way. An important addition to the mixed methods literature, Qualitative GIS will be the standard reference for upper-level students and researchers using qualitative methods and Geographic Information Systems.

Distant Reading

Author : Franco Moretti
ISBN : 9781781680841
Genre : Literary Criticism
File Size : 78. 67 MB
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The formation of an unorthodox literary critic How does a literary historian end up thinking in terms of z-scores, principal component analysis, and clustering coefficient? In the ten essays collected in this volume, Franco Moretti reconstructs the intellectual trajectory of his philosophy of ‘distant reading’. From the evolutionary model of ‘Modern European Literature’, through the geo-cultural dominant of ‘Conjectures on World Literature’ and ‘Planet Hollywood’ to the quantitative findings of ‘Style, inc.’ and the abstract patterns of ‘Network Theory, Plot Analysis’, the book follows two decades of critical explorations that have come to define – well beyond the wildest expectations of its author – a growing field of unorthodox literary studies.

Approaches And Methodologies In The Social Sciences

Author : Donatella Della Porta
ISBN : 9781139474597
Genre : Political Science
File Size : 35. 41 MB
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A revolutionary textbook introducing masters and doctoral students to the major research approaches and methodologies in the social sciences. Written by an outstanding set of scholars, and derived from successful course teaching, this volume will empower students to choose their own approach to research, to justify this approach, and to situate it within the discipline. It addresses questions of ontology, epistemology and philosophy of social science, and proceeds to issues of methodology and research design essential for producing a good research proposal. It also introduces researchers to the main issues of debate and contention in the methodology of social sciences, identifying commonalities, historic continuities and genuine differences.

The Sage Handbook Of Social Media Research Methods

Author : Luke Sloan
ISBN : 9781473987210
Genre : Social Science
File Size : 82. 37 MB
Format : PDF, Kindle
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The SAGE Handbook of Social Media Research Methods offers a step-by-step guide to overcoming the challenges inherent in research projects that deal with 'big and broad data', from the formulation of research questions through to the interpretation of findings. The handbook includes chapters on specific social media platforms such as Twitter, Sina Weibo and Instagram, as well as a series of critical chapters. The holistic approach is organised into the following sections: Conceptualising & Designing Social Media Research Collection & Storage Qualitative Approaches to Social Media Data Quantitative Approaches to Social Media Data Diverse Approaches to Social Media Data Analytical Tools Social Media Platforms This handbook is the single most comprehensive resource for any scholar or graduate student embarking on a social media project.

Software Studies

Author : Matthew Fuller
ISBN : 9780262062749
Genre : Computers
File Size : 26. 52 MB
Format : PDF
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A cultural field guide to software: artists, computer scientists, designers, cultural theorists, programmers, and others define a new field of study and practice.

Interdisciplining Digital Humanities

Author : Julie T Klein
ISBN : 9780472052547
Genre : Education
File Size : 27. 10 MB
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The first book to test the claim that the emerging field of Digital Humanities is interdisciplinary and also examines the boundary work of establishing and sustaining a new field of study

Complex Network Analysis In Python

Author : Dmitry Zinoviev
ISBN : 9781680505405
Genre : Computers
File Size : 45. 35 MB
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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.

Research Methods

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ISBN : 9781349926725
Genre :
File Size : 28. 92 MB
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