Team Co-occurence in Internet Search Engine Queries: An Analysis of the Excite Data Set

Author(s):  
Dietmar Wolfram

Unique queries submitted to the Excite search engine were analyzed for empirical regularities in the co-occurrence of search terms. The distribution of frequency of term pair occurrences was fitted to three models used in informetric studies to determine whether the pattern of term usage followed a Zipfian distribution. Relatively poor fits were obtained for two of the models tested. . .

2021 ◽  
Author(s):  
Yingchao Yang ◽  
Xinyi Li ◽  
Qiang Ma ◽  
Zhihui Fu ◽  
Kaiming Su

Abstract Purpose : This study aimed to verify that adenoid hypertrophy (AH) and rhinosinusitis share similar epidemiologic patterns and that AH and allergic rhinitis (AR) are not related. Methods: Internet search engine query data from January 2011 to December 2019 were retrieved from the Baidu index. Monthly search volume was obtained in China for the following search terms in Chinese: “adenoid hypertrophy,” “rhinosinusitis,” and “allergic rhinitis”; the data obtained were then presented as percentages. Pearson’s and Spearman’ s correlation coefficients were used to detect the correlation among the search volumes of AH, rhinosinusitis, and AR. We also collected search data from the first 5 months of 2020, when segregation was implemented in China due to the coronavirus disease 2019 epidemic. Then, we compared the search data to those obtained during the same period in 2019 to detect the effects of segregation on AH and AR to varying degrees. Results: Statistically significant differences were found between the search variations of AH and rhinosinusitis during 2011–2019 (R=0.643, P<0.05). However, search variations of AH and AR were negatively related (R=-0.239, P<0.05). The average monthly search volume of AH and rhinosinusitis correlated well (R=0.836, P<0.01), but no correlation was found between AH and AR. The search volume of AH and rhinosinusitis during the first 5 months in 2020 decreased, whereas that of AR increased during January–February. Conclusions: AH and rhinosinusitis are epidemiologically related, whereas AH and AR are not correlated with each other.


Humaniora ◽  
2010 ◽  
Vol 1 (2) ◽  
pp. 620
Author(s):  
Reza Indragiri Amriel

If the word “mutilation” entered in internet search engine, pages appear will be about “female genital mutilation” (FGM). Association about mutilation and female genital mutilation gives a negative connotation to “mutilation” term, that is such harmful practical towards women. This connotation affects Indonesia, as according to UNICEF (2005), Indonesia is one of many countries practicing FGM. Besides considering psichological concequences that will harm women, circumcision phenomenon in women unlocks sensitivity in self-judging towards Islam community as the major community in Indonesia. This paper bring up description about FGM and its strategic consideration about psychologic part taken care by Indonesian Psychology Association (HIMPSI) as its future agenda. 


Author(s):  
Ilvio Bruder ◽  
Antje Düsterhöft ◽  
Markus Becker ◽  
Jochen Bedersdorfer ◽  
Günter Neumann

2021 ◽  
Vol 52 (4) ◽  
pp. 15-17
Author(s):  
S.V. Nagaraj

This book is about algorithms and their enormous influence on people in the current age. Algorithms are precise sets of rules to solve problems. They are ubiquitous and have a great effect on the lives of contemporary people, primarily due to technological advancement. A common example is searching for information using an Internet search engine such as Google. This book is not technical in nature and was first published in French as Le Temps des Algorithmes, by ´ Editions Le Pommier in 2020. The authors Serge Abiteboul and Gilles Dowek are computer scientists, with Institut National de Recherche en Informatique et en Automatique (INRIA), Rocquencourt and ´ Ecole Normale Sup´erieure, Paris respectively. They believe that algorithms have made life easier, nevertheless, they dread that algorithms may subjugate humans. This book is intended to serve as an eye-opener on the impact of algorithms on daily life.


2014 ◽  
Vol 118 ◽  
pp. 59-64 ◽  
Author(s):  
George M. Ghobrial ◽  
Angud Mehdi ◽  
Mitchell Maltenfort ◽  
Ashwini D. Sharan ◽  
James S. Harrop

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