A Data Mining and Data Visualization Approach to Examine the Interrelationships Between Life Satisfaction, Secularization and Religiosity

Yu, Chong Ho; Trier, Hailey A.; Slama, Maryann

doi:10.1007/s10943-018-0737-5

Cited by 4 publications

(4 citation statements)

References 35 publications

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“…In Figure 3, the input data are the starting point and the output knowledge is the end point. Generally speaking, there are two methods for this transformation process, namely interactive visualization and data mining [22][23][24]. e intermediate result of this process is the visualization result of data interaction and the data model analyzed from it.…”

Section: Data Visualization Technologymentioning

confidence: 99%

Visual Dynamic Simulation Model of Unstructured Data in Social Networks

Zhang

2022

Security and Communication Networks

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Social networks contain a large amount of unstructured data. To ensure the stability of unstructured big data, this study proposes a method for visual dynamic simulation model of unstructured data in social networks. This study uses the Hadoop platform and data visualization technology to establish a univariate linear regression model according to the time correlation between data, estimates and approximates perceptual data, and collects unstructured data of social networks. Then, the unstructured data collected from the original social network are processed, and an adaptive threshold is designed to filter out the influence of noise. The unstructured data of social network after feature analysis are processed to extract its visual features. Finally, this study carries out the Hadoop cluster design, implements data persistence by HDFS, uses MapReduce to extract data clusters for distributed computing, builds a visual dynamic simulation model of unstructured data in social network, and realizes the display of unstructured data in social network. The experimental results show that this method has a good visualization effect on unstructured data in social networks and can effectively improve the stability and efficiency of unstructured data visualization in social networks.

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Section: Data Visualization Technologymentioning

confidence: 99%

Visual Dynamic Simulation Model of Unstructured Data in Social Networks

Zhang

2022

Security and Communication Networks

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“…In return, research results indicate that countries with poorer socioeconomic conditions, e.g., less or no investments, also perform worse in happiness studies [8]. Other meta studies in the review addressed socio-economic equality using big data concepts to investigate links between various factors that consolidate a society, such as religiousness [32] or a predominant mindset [33]. This cluster links big data to happiness through the potential impact of big data on reducing socio economic inequalities, which creates a happiness surplus though having a more equal society.…”

Section: Relation Of Happiness and Big Datamentioning

confidence: 99%

Happiness and Big Data – Theoretical Foundation and Empirical Insights for Africa

Joubert

Bühler

Bick

2020

Lecture Notes in Computer Science

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Big data has gained academic relevance over the last decade and is also of interest to other role-players such as governments, businesses and the general public. Based on our previous work on the Big Data Readiness Index (BDRI) we place the focus on one under-investigated aspect of big data: the linkage to happiness. The BDRI, applied on Africa, includes the topic of happiness within the digital wellbeing driver, but the link between the two topics requires further investigation. Thus, two underlying questions emerge: what is the relation between happiness and big data? And how does Africa perform in digital wellbeing? This paper includes a structured literature review highlighting five key clusters indicating this link. Furthermore, we present some first empirical insights using the BDRI focusing on Africa. Overall, the African continent performs best in the social inclusion cluster of happiness, with the most room for improvement in the job creation cluster.

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“…63 Moreover, across 33 countries, participation in a non-religious organization correlated with equal or higher levels of self-rated health than participation in a religious organization. 64 Although a country's level of secularization is not always and everywhere correlated with an increase in wellbeing, 65 greater numbers of nonreligious individuals in a country generally correlate with a wide range of positive health outcomes. 66 Let us look closer at sub-samples from various countries where the published data reveals either a pattern of null results when comparing theists/atheists and religious/nonreligious or finds that the nonreligious report experiencing equivalent levels of When researchers do find statistically significant differences between samples, the effect size is often small, and whether the differences are of practical significance is difficult to establish.…”

Section: Nonreligion and General Wellbeingmentioning

confidence: 99%

Nonreligion, Atheism, & Mental Health

Farias¹,

Tj²

2020

Preprint

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Based on the well-established link between religiosity and positive mental health outcomes, it has been argued that nonreligiosity is a health liability. However, most of this research suffers from methodological problems that limit their generalizability to nonreligious populations, such as atheists and agnostics. In the current chapter, we draw attention to these methodological issues, and argue in favor of a richer conceptualization of nonreligion than has been theorized in previous literature. We further review recent work from various countries around the world, which challenges the notion that nonreligiosity presents a health risk, finding instead that the nonreligious experience similar levels of health and wellbeing benefits as the religious. We end by briefly discussing the limitations and recent backlash at this literature, while suggesting that the study of the nonreligious may transform how we understand the interaction between beliefs, rituals, and health.

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A Data Mining and Data Visualization Approach to Examine the Interrelationships Between Life Satisfaction, Secularization and Religiosity

Cited by 4 publications

References 35 publications

Visual Dynamic Simulation Model of Unstructured Data in Social Networks

Visual Dynamic Simulation Model of Unstructured Data in Social Networks

Happiness and Big Data – Theoretical Foundation and Empirical Insights for Africa

Nonreligion, Atheism, & Mental Health

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A Data Mining and Data Visualization Approach to Examine the Interrelationships Between Life Satisfaction, Secularization and Religiosity

Cited by 4 publications

References 35 publications

Visual Dynamic Simulation Model of Unstructured Data in Social Networks

Visual Dynamic Simulation Model of Unstructured Data in Social Networks

Happiness and Big Data – Theoretical Foundation and Empirical Insights for Africa

Nonreligion, Atheism, &amp; Mental Health

Contact Info

Product

Resources

About

Nonreligion, Atheism, & Mental Health