Calculating Networks: From Sociometry to PageRank

2020 ◽  
Author(s):  
Bernhard Rieder
Keyword(s):  
Social Sciences ◽  
Information Retrieval ◽  
Citation Analysis ◽  
Web Search ◽  
Network Algorithms ◽  
Pagerank Algorithm ◽  
The Social

This chapter ventures into the field of network algorithms, using the prehistory of Google’s PageRank algorithm to discuss yet another way to think about information ordering. The chapter shows how algorithmic ordering techniques exploit and integrate knowledge from areas other than information retrieval – in particular the social sciences and citation analysis – and demonstrates how the ‘politics’ of an algorithm can depend on small variations that lead to radically different outcomes. The context of web search means that the various techniques covered in the second part of the book are brought together into a shared application space, allowing for a more concrete return to earlier discussions of variation and combination in software.

scholarly journals Citation Analysis Shows Promise as an Effective Tool for Monograph Collection Development

2010 ◽  
Vol 5 (2) ◽  
pp. 86
Author(s):  
Scott Marsalis
Keyword(s):  
Social Sciences ◽  
Citation Analysis ◽  
Information Science ◽  
Academic Library ◽  
Science Research ◽  
Test Method ◽  
Local Context ◽  
The Social ◽  
Significant Difference ◽  
The Us

A Review of: Enger, K. B. (2009). Using citation analysis to develop core book collections in academic libraries. Library & Information Science Research, 31(2), 107-112. Objective – To test whether acquiring books written by authors of highly cited journal articles is an effective method for building a collection in the social sciences. Design – Comparison Study. Setting – Academic library at a public university in the US. Subjects – A total of 1,359 book titles, selected by traditional means (n=1,267) or based on citation analysis (n=92). Methods – The researchers identified highly-ranked authors, defined as the most frequently cited authors publishing in journals with an impact factor greater than one, with no more than six journals in any category, using 1999 ISI data. They included authors in the categories Business, Anthropology, Criminology & Penology, Education & Education Research, Political Science, Psychology, Sociology/Anthropology, and General Social Sciences. The Books in Print bibliographic tool was searched to identify monographs published by these authors, and any titles not already owned were purchased. All books in the study were available to patrons by Fall 2005. The researchers collected circulation data in Spring 2007, and used it to compare titles acquired by this method with titles selected by traditional means. Main Results – Overall, books selected by traditional methods circulated more than those selected by citation analysis, with differences significant at the .001 level. However, at the subject category level, there was no significant difference at the .05 level. Most books selected by the test method circulated one to two times. Conclusion – Citation analysis can be an effective method for building a relevant book collection, and may be especially effective for identifying works relevant to a discipline beyond local context.

scholarly journals Relevance of Library Collections for Graduate Student Research: A Citation Analysis Study of Doctoral Dissertations at Notre Dame

2012 ◽  
Vol 73 (1) ◽  
pp. 47-67 ◽  
Author(s):  
Jessica Kayongo ◽  
Clarence Helm
Keyword(s):  
Social Sciences ◽  
Graduate Students ◽  
Citation Analysis ◽  
Study Data ◽  
Analysis Study ◽  
The Arts ◽  
The Social ◽  
Doctoral Dissertations ◽  
Further Development ◽  
Graduate Student Research

This study focused on determining the extent to which collections of the Hesburgh Libraries of Notre Dame met the needs of graduate students. This study data (2005–2007) consisted of a citation analysis of 248 dissertations and focused on the following questions: What were the graduate students citing in their dissertations? Did the library own the cited items? How did the disciplines compare in their citation patterns? The data showed that over 90 percent of the 39,106 citations were to books and journals. The libraries owned 67 percent of the items graduate students cited in their dissertations. The libraries owned 83 percent of the Arts & Humanities, 90 percent of the Engineering, 92 percent of the Science, and 75 percent of the Social Sciences sources in the top 1,000 most cited titles, indicating a need for funding for further development of Social Sciences collections in the Hesburgh Libraries.

Assessing the Influence of Auditing: A Journal of Practice & Theory: 1985–2000

2003 ◽  
Vol 22 (1) ◽  
pp. 195-204 ◽  
Author(s):  
Jack L. Krogstad ◽  
Gerald Smith
Keyword(s):  
Social Sciences ◽  
Citation Analysis ◽  
Citation Index ◽  
Practice Theory ◽  
High Quality ◽  
Research And Practice ◽  
The Social ◽  
The Impact ◽  
Social Sciences Citation Index

This study utilizes citation analysis to explore the impact and standing of Auditing: A Journal of Practice & Theory (AJPT) both within the accounting/auditing discipline and in the context of related fields. More specifically, the citations to AJPT from other journals included in the Social Sciences Citation Index (SSCI), plus citations appearing in additional, high-quality accounting/auditing journals (not included in the SSCI) are combined with self-citations to yield a database of 3,102 citations for the period 1985 through 2000. This database is analyzed to observe trends and to identify journals citing AJPT most frequently. Additionally, articles and authors cited most widely are enumerated. AJPT's growing influence and stature are documented, and the results support the conclusion that the Auditing Section's journal has continued to adhere to its essential objective of promoting communication between auditing research and practice.

scholarly journals Current Research Evaluation Topics in Social Sciences

2021 ◽  
Author(s):  
Zehra Taskin
Keyword(s):  
Social Sciences ◽  
Citation Analysis ◽  
Peer Review ◽  
Research Evaluation ◽  
Evaluation Studies ◽  
Advantages And Disadvantages ◽  
Science Technology ◽  
The Social ◽  
Need To Evaluate ◽  
Different Characteristics

The social sciences, as a collection of scholarly fields, have quite different characteristics compared to STEM (science, technology, engineering, and medicine) fields. Still, researchers in the social sciences have been evaluated similarly to researchers in STEM for many years. However, many studies have been published regarding the need to evaluate social sciences differently. This chapter examines research evaluation studies published in social sciences and presents the advantages and disadvantages of current research evaluation topics including altmetrics, content-based citation analysis, peer-review, and scientific visualization

Social Network Models for Enhancing Reference-Based Search Engine Rankings

2011 ◽  
pp. 109-133 ◽  
Author(s):  
Nikolaos Korfiatis ◽  
Miguel-Ángel Sicilia ◽  
Claudia Hess ◽  
Klaus Stein ◽  
Christoph Schlieder
Keyword(s):  
Information Retrieval ◽  
Social Network ◽  
Social Context ◽  
Search Engine ◽  
Web Search ◽  
Network Models ◽  
Reference Network ◽  
Ranking Models ◽  
The Social ◽  
Network Metrics

This chapter discusses the integration of information retrieval information from two sources: a social network and a document reference network, for enhancing reference based search engine rankings. In particular, current models of information retrieval are blind to the social context that surrounds information resources thus do not consider the trustworthiness of their authors when they present the query results to the users. Following this point we elaborate on the basic intuitions that highlight the contribution of the social context – as can be mined from social network positions for instance – into the improvement of the rankings provided in reference based search engines. A review on ranking models in web search engine retrieval along with social network metrics of importance such as prestige and centrality is provided as a background. Then a presentation of recent research models that utilize both contexts is provided along with a case study in the internet based encyclopedia Wikipedia based on the social network metrics.

scholarly journals Patterns of Disciplinary Involvement and Academic Collaboration in Gambling Research: A Co-Citation Analysis

2021 ◽  
Vol 2 (1) ◽  
pp. 21-28
Author(s):  
Murat Akcayir ◽  
Fiona Nicoll ◽  
David G. Baxter
Keyword(s):  
Social Sciences ◽  
Citation Analysis ◽  
Family Business ◽  
Web Of Science ◽  
Academic Research ◽  
Health Science ◽  
Network Games ◽  
Academic Collaboration ◽  
Social Sciences And Humanities ◽  
The Social

The purpose of this study was to investigate the current academic research foci in peer-reviewed studies on gambling. The researchers used co-citation analysis as a bibliometrics method. All the gambling-related publications indexed in Scopus and Web of Science were identified, and their citation patterns were analyzed. Our dataset includes a total of 2418 peer-reviewed gambling studies published over the five-year period from 2014–2018. The VOSviewer tool was used to visualize bibliometric networks and reveal key clusters among the studies. The findings indicate that gambling researchers mostly cited authors from the disciplines of neuroscience, psychology, health science, and psychiatry. Only 2% of the cited authors were from other disciplines, such as those in the social sciences and humanities. The most frequently cited sources also reveal the same pattern: that gambling researchers mostly cited articles published in neuroscience, psychology, and health science journals. The publications reviewed deal mainly with the pathological and treatment aspects of gambling. We also discovered some unique patterns of citation and collaboration, focusing on topics such as videogames, social network games, family, business, and tourism.

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