Browsing by Author "Solanki, Hitesh"

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    Analysis of the Citation Patterns, Keywords Clustering and Collaboration Networks in Presented Papers of PLANNER Conventions
    (INFLIBNET Centre, Gandhinagar, 2016-11) Pradhan, Pallab; Solanki, Hitesh; Patel, Swapnil
    In this paper, we present analysis of the papers that were presented in the last nine PLANNER conventions held during the period 2003 to 2014 in North East Indian Universities. The data for this study i.e. number of papers, their bibliographical data along with the keywords were collected from “IR@INFLIBNET”repository as well as from the “Convention’s Proceedings” and the citation data was collected from “Google Scholar”. A total of 445 full papers were selected for this study excluding the abstract papers in which 172 papers have received a total of 481 citations with an average of 1.08 per paper and the remaining 273 papers had no citation. Further, this paper demonstrates yearwise citation patterns, most prominent topics presented, key-word clustering, authorship and collaboration networks of authors from different states from the presented papers in conventions.
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    R: An Open Source Software Environment for Statistical Analysis
    (INFLIBNET Centre, Gandhinagar, 2017-04-01) Patel, Yatrik; Vaghela, Divyakant; Solanki, Hitesh; Vaidya, Mitisha
    The research data and its efficient analysis play a vital role in successful research as well as in drawing meaningful inferences. Students, scholars, research institutes, Government and non-Government organizations around the World depend heavily on statistical and data analysis to carry out their research as well for taking decisions based on statistical analysis of data. Statistics plays a vital role in almost all domains of knowledge. This article provides an overview of various comprehensive, proprietary and non-proprietary statistical packages that are available in the market place for carrying out statistical analyses on data such as SPSS, Stata, Minitab, SAS, etc. The article especially focuses on non-proprietary and open source statistical package called R, which is widely used in all research domains for statistical analysis, data mining and data visualization across the world.