Using the web to do social science

2010 ◽  
Author(s):  
Duncan Watts
Keyword(s):  
Social Science ◽  
The Web

Unravelling the Web of Qualitative Dissertation Writing!

2022 ◽  
pp. 260-282
Author(s):  
Nirupama R. Akella
Keyword(s):  
Social Science ◽  
Doctoral Students ◽  
Critical Literacy ◽  
Research Method ◽  
Analytical Approach ◽  
Learning Experience ◽  
Social Science Discipline ◽  
Dissertation Writing ◽  
Qualitative Dissertation ◽  
The Web

This chapter, written in the first person, uses the research method of autoethnography to identify, explore, and discuss six key elements essential for writing a qualitative dissertation in a social science discipline. The author bases her autoethnographic account of reflections, dialogue, and theory within a conceptual framework of critical literacy and a grounded theory analytical approach to detail six foundational elements of qualitative dissertation writing which must be present in the doctoral student's arsenal before beginning to write the dissertation and/or draft. The chapter attempts to solve a dilemma of paucity of empirical research by doctoral students/candidates about how to write qualitative dissertations. The purpose of the chapter is to showcase and unravel the dissertation writing web from a doctoral student/candidate's active learning experience and perspective.

Can web ecology provide a clearer understanding of people’s information behavior during election campaigns?

2013 ◽  
Vol 52 (1) ◽  
pp. 91-109 ◽  
Author(s):  
Yoonjae Nam ◽  
Yeon-Ok Lee ◽  
Han Woo Park
Keyword(s):  
Social Science ◽  
Presidential Election ◽  
Research Method ◽  
Local Elections ◽  
Election Campaigns ◽  
Online Networks ◽  
Political Events ◽  
Perceived Importance ◽  
Hyperlink Analysis ◽  
The Web

This article examines the web ecology of the 2010 local elections in South Korea by using social science hyperlink analysis. The online networks of candidates were measured daily during the official campaign period. The results indicate that network dynamics among the candidates for education superintendent changed more rapidly as the campaign progressed than in the case of the mayoral candidates. However, the intensity of online networks for both campaigns was lower than for the country’s last presidential election, in 2007, suggesting that the web ecology of a given election is influenced by the perceived importance of the event and the general popularity of certain candidates. The results also suggest that producing and disseminating information, such as news articles, blog posts and tweets, reflects a more politically conscious action than referring to information via hyperlinks. Furthermore, the article sheds light on the ways in which hyperlink analysis serves as a research method for mining data for web ecology analysis, tracking political events at different points in time and illustrating the general landscape of electoral communication in cyberspace.

scholarly journals Ranking of Sustainability Journals Using the Author Affiliation Index and Comparison to Other Journal Metrics

2020 ◽  
Vol 12 (3) ◽  
pp. 1104
Author(s):  
Matías Ginieis ◽  
Xiaoni Li
Keyword(s):  
Social Science ◽  
Research Productivity ◽  
Web Of Science ◽  
Environmental Studies ◽  
Academic Journal ◽  
High Quality ◽  
Quality Rating ◽  
Preliminary Study ◽  
The Web

An important component in evaluating research productivity is the quality of the academic journal. For this reason, the objective of this paper is to analyze the Author Affiliation Index (AAI) in sustainability field journals as a preliminary study to offer some insights into quality rating of journals in this chosen discipline. The AAI of a journal is defined as the percentage of the journal’s articles published by authors affiliated with a base set of high-quality academic universities or institutions. We conducted an evaluation of the top 50 journals in environmental studies indexed in the category Social Science in the Web of Science (WOS) database in 2018 and the top-notch 50 universities worldwide with master or postgraduate programs in the disciplines of management and sustainability studies. The results obtained demonstrate that there is a low AAI score on average in the sustainability field compared with other disciplines and the potential reason for such low scoring is probably caused by the high number of co-authors collaborating in environmental studies related journals. Although there is no agreement reached in terms of journal ratings by AAIs and other citation and survey-based measures, we can confirm certain elite affiliations effect which leading sustainability journals have higher concentrations of authors who are affiliated with elite institutions, however, such elite affiliation effect is on average much lower compared with other disciplines as finance, accounting or transportation, etc.

scholarly journals Old media and new opportunities for a computational social science on PCST

2017 ◽  
Vol 16 (02) ◽  
pp. C03 ◽  
Author(s):  
Federico Neresini
Keyword(s):  
Social Sciences ◽  
Social Media ◽  
Mass Media ◽  
Social Science ◽  
Empirical Studies ◽  
Computational Social Science ◽  
Methodological Issues ◽  
Computational Tools ◽  
Media Communication ◽  
The Web

Although with some reluctance, social sciences now seem to have accepted the challenge deriving from the growing digitisation of communication and the consequent flow of data on the web. There are actually various empirical studies that use the digital traces left by the myriads of interactions that occur through social media and e-commerce platforms, and this trend also concerns the research in the PCST field. However, the opportunity offered by the digitisation of traditional mass media communication — the newspapers in particular — is much less exploited. Building on the experience of the TIPS project, this paper discusses the advantages and the limits of computational social science on PCST using newspapers as the main source of data. Some methodological issues are also addressed, in order to suggest a more aware use of such data and the several computational tools available for analysing them.

scholarly journals Using RDF to Describe and Link Social Science Data to Related Resources on the Web

2012 ◽  
Author(s):  
Stefan Kramer ◽  
Amber Leahey ◽  
Humphrey Southall ◽  
Johanna Vampras ◽  
Joachim Wackerow
Keyword(s):  
Social Science ◽  
Science Data ◽  
Social Science Data ◽  
The Web

Virtual Resources: International Relations Research Resources on the Web

1998 ◽  
Vol 52 (1) ◽  
pp. 211-221 ◽  
Author(s):  
Ronald J. Deibert
Keyword(s):  
Social Science ◽  
Web Site ◽  
Social Science Research ◽  
Academic Research ◽  
Science Research ◽  
Teaching Resources ◽  
Research And Teaching ◽  
General Terms ◽  
The Web ◽  
Research Resources

The explosive growth of the Internet and the World Wide Web in recent years has produced not only the trivial and bizarre, but also information useful for social science research and teaching. Yet most of this information is difficult to locate, particularly for those unfamiliar with the Web, primarily because of its nonlinear architecture—called “hypertext.” The purpose of this research note is to give scholars a sense of what is unique about research resources on the Web and an indication in general terms of what types of information and materials can be accessed through it. First, I describe primary and secondary materials, teaching resources, reference material, and news sources. I then suggest several guidelines for Web site development that I believe will improve the potential for social science research on the Web. Finally, I conclude by outlining some directions for further analysis raised by the widespread use of the Web for academic research and teaching. A companion guide to research resources on the Web will be posted on the International Organization Web site through which the material here (and much more) can then be accessed.

A bibliometric study of the applied linguistics research output of Saudi institutions in the Web of Science for the decade 2011-2020

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammed Ali Mohsen
Keyword(s):  
Saudi Arabia ◽  
Social Science ◽  
Science Citation Index ◽  
Web Of Science ◽  
Citation Index ◽  
Applied Linguistics ◽  
Content Type ◽  
The Social ◽  
The Web ◽  
Highly Cited

Purpose This paper aims to analyse the research contributions of the Kingdom of Saudi Arabia in the field of applied linguistics (AL) indexed in the Web of Science core collection for the period between 2011 and 2020. Design/methodology/approach The author searched key terms in the Social Science Citation Index and Science Citation Index Expanded categories that publish documents in AL. The author compiled the data, classified these documents according to their research focus and investigated different metrics such as keywords analysis, citation analysis, overseas collaboration and productivity over authors, institutions and sources by using VOSviewer and Excel sheet. Findings Results found that publications in Saudi Arabia have tremendously increased around three times in the years 2016–2020 than before. As unexpected, highly cited researchers, sources and institutions for the social science and arts and humanities disciplines were higher than the scientific disciplines that investigated linguistic issues such as neurology, audiology and computer science. The area of language teaching and learning was the most researched area in which the highly cited author, journals and keywords analysis metrics occurred within its scope. The highly cited articles were those that collaborated with the world contributing authors and acted as corresponding authors. Originality/value The study contributes to the body of literature of AL which shares other categories that investigated language as a central issue. The study provides a fine-grained picture about the research productivity of AL in scientific and social science categories in Saudi Arabia.

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