S. Ravikumar ¹

Affiliations
1 Department of Library and Information Science, North Eastern Hill University (NEHU), Umshing Mawkynroh, Shillong - 793022, Meghalaya, IN

Abstract

The present study was carried out to examine the alternative metrics variables twitter and its relationships with citation pattern for scholarly articles. This study was carried on with top 100 twitted articles for the year 2014-15 and the second set of data was specific to the “Genomic” subject domain, around 131 hot paper was identified and their twittes and citation data was studied. From the study it was found that the top tweeted articles did not have any kind of correlation with citation its ϐ value was 0.071. While the second set of data from the “Genomic” subject showed a strong positive linear correlation between the Twitter count and Citation counts its ϐ value was 0.72.

Keywords

Alternative Metrics, Altmetric, Citation, New Media, Twitter.

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S. Ravikumar ¹, Angom Jeevan Singh ²

Affiliations
1 Department of Library and Information Science, North Eastern Hill University, Umshing Mawkynroh, Shillong, IN
2 North Eastern Hill University, Umshing Mawkynroh, Shillong − 793022, Meghalaya, IN

Abstract

The objective of the paper is to examine the citation pattern of Byline and Dateline articles of “The Guardian” newspaper during 2001-2010. During the study period, there were 5480 records (newspaper articles) with 4101 citations to different scholarly publications indexed in Web of Science up to 31st December 2015.The highest citation of the Guardian newspaper was 1833 (44.70%) during the year 2010, followed by 1004 (24.48%) citations in the year 2009, and the lowest was 22 (0.54%) citations in the year 2001. The study found that there is a gradual increase in citing Byline newspaper articles from 2001 onwards in scholarly publications, except in the year 2004,whereas, there is a gradual increase in Dateline newspaper articles citations from 2001 onwards. The study also found that the citations do not depend on the readership of the newspaper and there is significant difference in citing the byline and dateline articles in the scholarly publications during 2001-2010.

Keywords

Byline and Dateline Articles, Citation Analysis, Guardian Newspaper Citation, Scholarly Publications, Web of Science.

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Angom Jeevan Singh ¹, S. Ravikumar ²

Affiliations
1 Central Library, North Eastern Hill University, Tura Campus, Tura – 794002, Meghalaya, IN
2 Department of Library and Information Science, North Eastern Hill University, Shillong – 793022, Meghalaya, IN

Abstract

The objective of the paper is to find out the citations of newspapers in scientific publications during 2001-2010. The study was carried out for twenty English newspapers indexed in Web of Science with 250 or more citations up to 31st December, 2015. For the present study only newspaper articles of these twenty newspapers with 2 (two) or more citations were considered. During the study period there were 4146 records (newspaper articles) with 13250 citations in different scientific publications. The citations to these news paper articles in scientific publications increased gradually from 2006 onwards. These newspaper articles were highly cited in Fordham Law Review (USA) with 160 (1.21%) citations followed by American Journal of International Law (USA) with 138 (1.04%) citations.

Keywords

Citation Analysis, Newspaper Citations, Scientific Publications, Web of Science.

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S. Ravikumar ¹, Bidyut Bikash Boruah ², Fullstar Lamin Gayang ²

Affiliations
1 Associate Professor, Department of Library and Information Science, North-Eastern Hill University,Shillong – 793022, Meghalaya, IN
2 Research Scholar, Department of Library and Information Science, North-Eastern Hill University,Shillong – 793022, Meghalaya, IN

Abstract

Among the techniques of text mining, topic modeling is considered one of the emerging tools to extract or detect hidden themes that lie within a huge collection of textual data. Latent Dirichlet Allocation (LDA) is considered a popular method in the field of topic modeling. This paper deals with topic modeling from 9130 articles of Sri Lankan authors having a minimum of 5 citations downloaded from the WoS database using LDA. The LDA tuning (R package) is used in the study to take various measurements for deciding subjects in light of factual elements. The top 10 latent topics were identified, and different unique terms associated with the topics were also discussed. Health is traced as the most occurring latent topic followed by forest and solar cells. Topic-1 (100%) Contains Water-related terms, which is around 60%; Irrigation and soilrelated were 40% (1997). This first topic was prominent across the period barring 1994 and 1996. Topic 3 has gradually decreased and Topic 9 has gradually increased during the last five decades. By comparing our results to traditional scholarship by Sri Lankan authors and the evolution of scientific publication by the island nation, we have shown that topic models can emerge as a scientific alternative to conventional classification systems.

Keywords

Data Mining, Latent Dirichlet Allocation, Text Mining, Topic Modeling.

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