User:Francg/expub/thesis/bibliography
5 sources
19.10.17
https://pad.pzimediadesign.nl/p/annotated_bibliography
Mining the Social Web
We live in a world of big data: the amount of information collected on human behavior each day is staggering, and exponentially greater than at any time in the past. Additionally, powerful algorithms are capable of churning through seas of data to uncover patterns. Providing a simple and accessible introduction to data mining, Paul Attewell and David B. Monaghan discuss how data mining substantially differs from conventional statistical modeling familiar to most social scientists. The authors also empower social scientists to tap into these new resources and incorporate data mining methodologies in their analytical toolkits.Data Mining for the Social Sciencesdemystifies the process by describing the diverse set of techniques available, discussing the strengths and weaknesses of various approaches, and giving practical demonstrations of how to carry out analyses using tools in various statistical software packages.
https://en.wikipedia.org/wiki/Future_Shock
"The Future as a Way of Life" in Horizon magazine
Shock! American Speech, by Barbara Hunt Lazerson - Vol. 59, No. 3 (Autumn, 1984), pp. 286-288 (Journal Article)
American Speech is concerned principally with the English language in the Western Hemisphere, although articles dealing with English in other parts of the world, the influence of other languages by or on English, and linguistic theory are also published. The journal is not committed to any particular theoretical framework, and issues often contain contributions that appeal to a readership wider than the linguistic studies community.
Since its founding in 1925, American Speech has been one of the foremost publications in its field. Regular features include a book review section and a "Miscellany" section devoted to brief essays and notes.
The Managing of Organizations - Bertran Gross
The Administrative Law Review strives to develop legal research and writing skills of students while publishing articles that serve both practitioners and academicians. Each issue is a nexus of theory and practice containing articles by practicing lawyers, judges, and academicians. The The Administrative Law Review contains student comments and casenotes on administrative law issues. In addition, the ALR regularly publishes symposia, conferences, and meetings on current topics in administrative law.
International Journal of Information Management, 2000
[https://web.archive.org/web/20141006092529/http://cpe.njit.edu/dlnotes/CIS/CIS735/StructuringComputerMediated.pdf STRUCTURING COMPUTER-MEDIATED COMIMUNICATION SYSTEMS TO AVOID INFORMATION OVERLOAD - Article 1985]
[https://web.archive.org/web/20051025082125/http://www.ravid.org/gilad/isr.pdf Information Overload and the Message Dynamics of Online Interaction Spaces: A Theoretical Model and Empirical Exploration, 2004]
The Tao of Open Source Intelligence:
Widespread use of the Internet and the Web has transformed the public management 'quasi-paradigm' in advanced industrial countries. The toolkit for public management reform has shifted away from a 'new public management' (NPM) approach stressing fragmentation, competition and incentivization and towards a 'digital-era governance' (DEG) one, focusing on reintegrating services, providing holistic services for citizens and implementing thoroughgoing digital changes in administration. We review the current status of NPM and DEG approaches, showing how the development of the social Web has already helped trigger a 'second wave' of DEG2 changes. Web science and organizational studies are converging swiftly in public management and public services, opening up an extensive agenda for future redesign of state organization and interventions. So far, DEG changes have survived austerity pressures well, whereas key NPM elements have been rolled back.
2 Live versus archive: Comparing a web archive to a population of web pages
Reality Mining: Using Big Data to Engineer a Better World
Big Data is made up of lots of little data: numbers entered into cell phones, addresses entered into GPS devices, visits to websites, online purchases, ATM transactions, and any other activity that leaves a digital trail. Although the abuse of Big Data -- surveillance, spying, hacking -- has made headlines, it shouldn't overshadow the abundant positive applications of Big Data. InReality Mining, Nathan Eagle and Kate Greene cut through the hype and the headlines to explore the positive potential of Big Data, showing the ways in which the analysis of Big Data ("Reality Mining") can be used to improve human systems as varied as political polling and disease tracking, while considering user privacy.Eagle, a recognized expert in the field, and Greene, an experienced technology journalist, describe Reality Mining at five different levels: the individual, the neighborhood and organization, the city, the nation, and the world. For each level, they first offer a nontechnical explanation of data collection methods and then describe applications and systems that have been or could be built. These include a mobile app that helps smokers quit smoking; a workplace "knowledge system"; the use of GPS, Wi-Fi, and mobile phone data to manage and predict traffic flows; and the analysis of social media to track the spread of disease. Eagle and Greene argue that Big Data, used respectfully and responsibly, can help people live better, healthier, and happier lives.
Data Mining for the Social Sciences: An Introduction
We live in a world of big data: the amount of information collected on human behavior each day is staggering, and exponentially greater than at any time in the past. Additionally, powerful algorithms are capable of churning through seas of data to uncover patterns. Providing a simple and accessible introduction to data mining, Paul Attewell and David B. Monaghan discuss how data mining substantially differs from conventional statistical modeling familiar to most social scientists. The authors also empower social scientists to tap into these new resources and incorporate data mining methodologies in their analytical toolkits.Data Mining for the Social Sciencesdemystifies the process by describing the diverse set of techniques available, discussing the strengths and weaknesses of various approaches, and giving practical demonstrations of how to carry out analyses using tools in various statistical software packages.
Digital Methods
It is not a toolkit for Internet research, or operating instructions for a software package; it deals with broader questions. How can we study social media to learn something about society rather than about social media use? How can hyperlinks reveal not just the value of a Web site but the politics of association? Rogers proposes repurposing Web-native techniques for research into cultural change and societal conditions. We can learn to reapply such "methods of the medium" as crawling and crowd sourcing, PageRank and similar algorithms, tag clouds and other visualizations; we can learn how they handle hits, likes, tags, date stamps, and other Web-native objects. By "thinking along" with devices and the objects they handle, digital research methods can follow the evolving methods of the medium. Rogers uses this new methodological outlook to examine the findings of inquiries into 9/11 search results, the recognition of climate change skeptics by climate-change-related Web sites, the events surrounding the Srebrenica massacre according to Dutch, Serbian, Bosnian, and Croatian Wikipedias, presidential candidates' social media "friends," and the censorship of the Iranian Web. With Digital Methods, Rogers introduces a new vision and method for Internet research and at the same time applies them to the Web's objects of study, from tiny particles (hyperlinks) to large masses (social media).
The second wave of digital-era governance: a quasi-paradigm for government on the Web
Web Scraping with Python: Collecting Data from the Modern Web 1st Edition
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