Evaluating Research Trends Using Key Term Occurrences and Multivariate Mann-Kendall Test

Curiac, Christian-Daniel; Micea, Mihai V.

doi:10.1109/isetc56213.2022.10010222

Cited by 2 publications

(3 citation statements)

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“…Mann-Kendall (MK) test [29], [30] falls in the nonparametric statistical methods category for trend detection and gradually becomes the standard technique to assess monotonic trends in natural language processing [3], [4]. Its popularity stems from its robustness against non-Gaussian or censored data and also from its simplicity.…”

Section: B Mutivariate Mann-kendall Testmentioning

confidence: 99%

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Identifying Hot Information Security Topics Using LDA and Multivariate Mann-Kendall Test

Curiac

Micea

2023

IEEE Access

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Discovering promising research themes in a scientific domain by evaluating semantic information extracted from bibliometric databases represents a challenging task for Natural Language Processing (NLP). While existing NLP methods generally characterize the research topics using unique key terms, we take a step further by more accurately modeling the research themes as finite sets of key terms. The proposed approach involves two stages: identifying the research themes from paper metadata using LDA topic modeling; and, evaluation of research theme trends by employing a version of the Mann-Kendall test that is able to cope with multivariate time series of term occurrences. The results obtained by applying this general methodology to Information Security domain confirm its viability.INDEX TERMS LDA topic modeling, multivariate Mann-Kendall test, natural language processing, paper metadata, research theme, research trend.

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Section: B Mutivariate Mann-kendall Testmentioning

confidence: 99%

“…The current paper builds on our earlier work [4], which proposed a quantifiable means for assessing the trend in the interest of scientific community in a particular research theme using key term occurrences and multivariate Mann-Kendall test. In this paper we report the following new contributions:…”

Section: Introductionmentioning

confidence: 99%

Identifying Hot Information Security Topics Using LDA and Multivariate Mann-Kendall Test

Curiac

Micea

2023

IEEE Access

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“…The results derived give Zmk and P values (probability values). If the value of Zmk is positive, then the value shows an increasing trend; conversely, if the value of Zmk is negative, then the trend is decreasing in nature (Curiac & Micea, 2022;Jain & Bhatt, 2022). This Zmk value helps in evaluating the presence or absence of a statistically significant trend in the data.…”

Section: Data Processing and Analysismentioning

confidence: 99%

Monitoring temperature patterns at the selected world heritage sites in Egypt using high resolution WorldClim data

Dave

2023

L&E

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Long term temperature patterns helps in assessing changes in the climatic conditions of an area and climatic changes poses a major challenge to the world heritage sites whether it is natural or cultural. Therefore in this study using maximum and minimum temperature data for the period 1960-2021 downloaded from WorldClim 2.1 calculation of mean temperature is done in QGIS environment for the selected UNESCO world heritage sites of Arab Republic of Egypt. WorldClim 2.1 provides finer resolution gridded data downscaled from Climate Research Unit. Trend analysis using linear regression and Mann-Kendall method and Sen’s Slope estimate is used to understand the patterns of mean temperature at all the selected sites. The study reveals that mean temperature at all the selected sites is increasing but since 1990 the sites which are located geographically in lower Egypt are witnessing rapid increase in mean temperature compared to the sites located in upper Egypt which historically witnessed more temperature due to its geographical milieu. This study can help in stimulating the utility of geospatial data in understanding the changes in climatic parameters in relation to world heritage sites. Moreover it can serve as foundation upon which detailed longitudinal site specific investigation can be done.

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Evaluating Research Trends Using Key Term Occurrences and Multivariate Mann-Kendall Test

Cited by 2 publications

References 15 publications

Identifying Hot Information Security Topics Using LDA and Multivariate Mann-Kendall Test

Identifying Hot Information Security Topics Using LDA and Multivariate Mann-Kendall Test

Monitoring temperature patterns at the selected world heritage sites in Egypt using high resolution WorldClim data

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