A Comparative Analysis of Data Gathering and Sampling Methods for Social Data

2014 ◽  
Vol 25 (2) ◽  
Author(s):  
Yoon Jae Jang
2019 ◽  
Vol 16 (9) ◽  
pp. 3860-3866
Author(s):  
Sonia Sharma ◽  
Dalip ◽  
Munishwar Rai

With the unstable development of the data accessible on the Internet, WWW has turned into the most capable stage to store, recover, and communicate data. The same number of individuals have taken to the Internet for data gathering, examining client conduct from web get to the logs can be useful to make versatile framework, recommender framework, and clever online business applications. We get to log records are the documents that contain data about the connection amongst clients and the sites with the utilization of the Internet. It contains many points of interest as authentication of users, Address related to IP, time of visit, accessing, data transferred, status setting of result, URL and so on. To analyze web log data for prediction of consumer behavior, various free and paid tools is available online. By studying and comparing various analyzer, a website owner can select the best tool for prediction of consumer behavior. This paper gives a neat report between celebrated log analyzer instruments in light of their highlights and execution.


Author(s):  
Idris Ajani Oni

Prominent among religions that claim direct or indirect lineage to Abraham are Judaism, Christianity and Islam. The three religions are known as monotheistic. Although, their interpretations of monotheism are closely similar, they have salient differences. Such differences have spurred unhealthy arguments, rivalry and hatred between some Christians and Muslims. Thus, this paper highlights some of the basic differences between Islam and Christianity traceable to scriptural differences and interpretations and the causes of disagreement between Christianity and Islam with a view to offering recommendations that would foster goodwill and engender better relationship between Christians and Muslims. The paper adopted a comparative and analytical system of research with library information and experiences as the major data gathering tools. The study finds that misinformation, ignorance, deliberate distortions, media irresponsibility among others is the major causes of disharmony among Christians and Muslims. The paper recommends mutual love and respect, constant dialogue, education and other factors that would improve the attitude of Christians and Muslims towards one another.


2020 ◽  
Author(s):  
Amina AMARA ◽  
Mohamed Ali HADJ TAIEB ◽  
Mohamed BEN AOUICHA

Abstract Social data has shown important role in tracking, monitoring and risk management of disasters. Indeed, several works focused on the benets of social data analysis to the healthcare practices and curing. Similarly, these data are exploited now for tracking the COVID-19 pandemic but the majority of works exploited twitter as source. In this paper, we choose to exploit Facebook, rarely used, for tracking the evolution of COVID-19 related trends. In fact, a multilingual dataset covering 7 languages (English (EN), Arabic (AR), Spanish (ES), Italian (IT), German (DE), French (FR) and Japanese (JP)) is extracted from Facebook public posts. The proposal is an analytics process including a data gathering step, pre-processing, LDA-based topic modelling and presentation module using graph structure. Data analysing covers the duration spanned from January 1st, 2020 to May 15, 2020 divided on three periods in cumulative way: rst period January-February, second period March-April and the last one to 15 May. The results showed that the extracted topics correspond to the chronological development of what has been circulated around the pandemic and the measures that have been taken in the various languages under discussion.


Sensors ◽  
2015 ◽  
Vol 15 (3) ◽  
pp. 5058-5080 ◽  
Author(s):  
Bojan Milosevic ◽  
Carlo Caione ◽  
Elisabetta Farella ◽  
Davide Brunelli ◽  
Luca Benini

Author(s):  
Katharina Zimmermann

In chapter 4, the particular epistemological aspects of the study’s research programme as well as its actual methodological approach and the database are outlined. As sketched out in chapter 3, the study adopts a conditional perspective towards the local context as a crucial factor in shaping local responses to the ESF. For analysing the role of contextual conditions, Qualitative Comparative Analysis (QCA) is used in the study, and its main features are described in chapter 4. Furthermore, the chapter provides insights into the research design, data gathering and data processing.


1985 ◽  
Vol 12 (11) ◽  
pp. 931-939
Author(s):  
H. Eschapasse ◽  
L. Frecon ◽  
J.P. Pouliquen ◽  
E. Sein

2020 ◽  
Vol 36 (4) ◽  
pp. 245-248
Author(s):  
Daniele de Aguiar Maia ◽  
Amanda Queiroz Bastos ◽  
Paulo José Leite ◽  
Hélcio Reinaldo Gil-Santana ◽  
Júlia dos Santos Silva ◽  
...  

ABSTRACT In this study, traps were set out to improve mosquito monitoring, study their viability, and determine the most suitable traps for female mosquito species of epidemiological importance during oviposition. The effectiveness of 3 types of traps (bamboo traps, tire traps, and ovitraps) were compared at 2 sampling sites. A total of 24 traps were installed on the ground at elevations of 3 m, 6 m, and 9 m in a fragment of the Atlantic Forest in the municipality of Nova Iguaçu, Rio de Janeiro State, Brazil. The samplings took place every 2 wk from July 2017 to June 2018. A total of 1,854 mosquitoes belonging to 16 different species were identified, of which 2 species are involved in the transmission of arbovirus: Haemagogus leucocelaenus (Dyar and Shannon) and Aedes albopictus Skuse. Larval tire traps were the most effective at trapping females laying eggs, followed by ovitraps. The results were consistent with the usual habitats of certain species that were found in tire traps, which are artificial objects commonly found in human environments.


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