Extracting Value and Data Analytic from Social Networks: Big Data Approach

Arifin, Firman; Hariadi, Mochamad; Anshari, Muhammad

doi:10.1166/asl.2017.7360

Cited by 8 publications

(3 citation statements)

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“…With the numeric figures of data gathered particularly from the huge data amount, facts of statistics are being generated among the digital devices such as mobile phone, computer or laptop to extract the value of social network [11]. Towards the platform of big data emerging technology, data collection from the sources of traditional basis and digital one can be more complex and larger to manage with the computing technology use [12].…”

Section: Big Data Emerging Technologymentioning

confidence: 99%

“…With an entire process to extract the social network in engaging the learning sources, the pattern here refers to structured and unstructured data [6] [12]. Extracting the potential content value aims to improve the experiential learning basis with regard to adopt the massive open basis which enables the learners to get access on online sources freely [11] [14]. In terms of enhancing the number of participants, the convenience in underlying the learning process can be managed in pointing out the competence of technological basis.…”

Section: Big Data Emerging Technology For Olr Based Innovative Enviromentioning

confidence: 99%

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Big Data Emerging Technology: Insights into Innovative Environment for Online Learning Resources

Huda¹,

Maseleno

Atmotiyoso³

et al. 2018

Int. J. Emerg. Technol. Learn.

154

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Abstract-Attempts to adopt the network data massively from the social media refer to provide the particular means in extracting the value from information space such as message, conversation, transaction and others, where the sources of structured data come from enterprise resources data and sources of unstructured data come from audio and video. It can be achieved to expand the process of extracting the value from social network to pattern the data sources to fulfil the organisation goal. This paper aims to reveal the way of big data approach in extracting data value from data complexity involving variety and velocity into the volume. This study was conducted using contents analysis by reviewing some literatures in peer-reviewed journals, chapters, books and proceedings in developing prototype using data analytics associated from the topic, users and time analytics. The findings reveal that big data emerging technology with analytic process provides particular advantages to transform the pattern of information fitted into the innovative environment of online learning resources (OLR) to enhance in developing the learning resources. Both prototype and model of data extraction value could be enhanced to facilitate the learning environment in supporting implementations with ease and convenience. This study is expected to contribute to improve the learning environment and outcomes iJET

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Section: Big Data Emerging Technologymentioning

confidence: 99%

Section: Big Data Emerging Technology For Olr Based Innovative Enviromentioning

confidence: 99%

Big Data Emerging Technology: Insights into Innovative Environment for Online Learning Resources

Huda¹,

Maseleno

Atmotiyoso³

et al. 2018

Int. J. Emerg. Technol. Learn.

154

View full text Add to dashboard Cite

show abstract

“…Big data can have as structured form (data from sensors; log files; financial data; input data; data on visits to websites, etc. ), as well as unstructured one (scientific knowledge data; photo and video materials; meteorological, oceanographic, seismological observation data; satellite imagery; texts of business and official documents; survey results; e-mails and social network data (Arifin, et al, 2017), and many others).…”

Section: Big Data Technology In Higher Educationmentioning

confidence: 99%

Big Data and Internet of Things (IoT) Technologies' Influence on Higher Education

Mkrttchian¹,

Gamidullaeva

Finogeev

et al. 2021

International Journal of Web-Based Learning and Teaching Technologies

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To respond to the needs of digital transformation, universities must continue to play their role as proving ground for educating the future generation and innovation. The article is devoted to overview, discussion, and investigation of application in higher education of two modern information technologies: big data and internet of things. The article identifies the role of analytics, based on big data, in improvement of education process and outlines the challenges, related with big data mining, storage, and security. Proposed statements are based on practical experience of the authors; architecture of program and methodological solution are the focus of the article. The article contributes to theory by the new approach to combination of big data and internet of things technologies in educational resources and, at the same time, includes implications for practice, presenting examples of the approach's realization and sharing the authors' experiences of such realization.

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Design and Development of Big Data Cloud Platform for Cattle and Sheep IoT Breeding Based on SaaS

Zhang

2021

The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

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Extracting Value and Data Analytic from Social Networks: Big Data Approach

Cited by 8 publications

References 0 publications

Big Data Emerging Technology: Insights into Innovative Environment for Online Learning Resources

Big Data Emerging Technology: Insights into Innovative Environment for Online Learning Resources

Big Data and Internet of Things (IoT) Technologies' Influence on Higher Education

Design and Development of Big Data Cloud Platform for Cattle and Sheep IoT Breeding Based on SaaS

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