A proposed social network analysis platform for big data analytics

This paper presents an important concept of Internet of People, a social network analysis approach to perform Big Data Analytics. The paper describes the development, management implications and analysis. To illustrate six points in the management issues, an in-house development of a SocialNetwork A...

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Vydané v:	Technological forecasting & social change Ročník 130; s. 57 - 68
Hlavný autor:	Chang, Victor
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Elsevier Inc 01.05.2018 Elsevier Science Ltd
Predmet:	Analysis Analytics Big Data Data analysis Data management Data processing Data visualization Internet Large scale simulations for APIs Management Management issues for social networks Network analysis Scientific visualization Social network analysis Social network analysis platform Social networks SocialNetwork API Studies Visualization SocialNetwork API Social network analysis platform Data visualization Large scale simulations for APIs Management issues for social networks
ISSN:	0040-1625, 1873-5509
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Abstract	This paper presents an important concept of Internet of People, a social network analysis approach to perform Big Data Analytics. The paper describes the development, management implications and analysis. To illustrate six points in the management issues, an in-house development of a SocialNetwork API with six functions has been demonstrated. The proposed method is focused on processing the contacts who click like or comment on the author's posts, as well as the queries and visualization. Results can be extracted and presented in data visualization. Six functions in the SocialNetwork API have evaluation tests, including a large scale of 50,000simulations completed within 60,000s. Results support our case of Big Data processing for social network analysis can be equivalent to CRM, ERP and MIS. Additionally, there are no costs involved. Related topics have been discussed in details. Our research contributions have been consolidated since our work have met research challenges for social network analysis and six management implications. •We identify six management issues for social networks and justify our contributions.•We have developed SocialNetwork API to extract and process data from Facebook.•Outputs of our analysis are in analytics with six different functions.•SocialNetwork API was tested thoroughly to confirm its resiliency.•We justified our research contributions for Big Data Analytics by SocialNetwork API.
AbstractList	This paper presents an important concept of Internet of People, a social network analysis approach to perform Big Data Analytics. The paper describes the development, management implications and analysis. To illustrate six points in the management issues, an in-house development of a SocialNetwork API with six functions has been demonstrated. The proposed method is focused on processing the contacts who click like or comment on the author's posts, as well as the queries and visualization. Results can be extracted and presented in data visualization. Six functions in the SocialNetwork API have evaluation tests, including a large scale of 50,000simulations completed within 60,000s. Results support our case of Big Data processing for social network analysis can be equivalent to CRM, ERP and MIS. Additionally, there are no costs involved. Related topics have been discussed in details. Our research contributions have been consolidated since our work have met research challenges for social network analysis and six management implications. •We identify six management issues for social networks and justify our contributions.•We have developed SocialNetwork API to extract and process data from Facebook.•Outputs of our analysis are in analytics with six different functions.•SocialNetwork API was tested thoroughly to confirm its resiliency.•We justified our research contributions for Big Data Analytics by SocialNetwork API. This paper presents an important concept of Internet of People, a social network analysis approach to perform Big Data Analytics. The paper describes the development, management implications and analysis. To illustrate six points in the management issues, an in-house development of a SocialNetwork API with six functions has been demonstrated. The proposed method is focused on processing the contacts who click like or comment on the author's posts, as well as the queries and visualization. Results can be extracted and presented in data visualization. Six functions in the SocialNetwork API have evaluation tests, including a large scale of 50,000 simulations completed within 60,000 s. Results support our case of Big Data processing for social network analysis can be equivalent to CRM, ERP and MIS. Additionally, there are no costs involved. Related topics have been discussed in details. Our research contributions have been consolidated since our work have met research challenges for social network analysis and six management implications.
Author	Chang, Victor
Author_xml	– sequence: 1 givenname: Victor surname: Chang fullname: Chang, Victor email: victorchang.research@gmail.com organization: Xi'an Jiaotong-Liverpool University, Suzhou, China
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Snippet	This paper presents an important concept of Internet of People, a social network analysis approach to perform Big Data Analytics. The paper describes the...
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SubjectTerms	Analysis Analytics Big Data Data analysis Data management Data processing Data visualization Internet Large scale simulations for APIs Management Management issues for social networks Network analysis Scientific visualization Social network analysis Social network analysis platform Social networks SocialNetwork API Studies Visualization
Title	A proposed social network analysis platform for big data analytics
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