Decision-Making Model of Social Work Specialization Process Using Big Data Analysis and Chaos Cloud

Big data and mobile edge computing information technology have revolutionized traditional industries’ development. The organic integration of community social work and big data technology will undoubtedly promote the growth of community social work services, thanks to the new information technology...

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Vydáno v:Wireless communications and mobile computing Ročník 2022; číslo 1
Hlavní autoři: Chen, Zhiyu, Chen, Jingguo
Médium: Journal Article
Jazyk:angličtina
Vydáno: Oxford Hindawi 2022
John Wiley & Sons, Inc
Témata:
Adaptive algorithms
Big Data
Cloud computing
Data analysis
Data collection
Decision analysis
Decision making
Edge computing
Employees
Information technology
Internet
Mobile computing
Optimization
Project management
Research methodology
Scheduling
Service facilities
Social services
Social work
Social workers
Society
Spatial distribution
Workflow
China
ISSN:1530-8669, 1530-8677
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Abstract Big data and mobile edge computing information technology have revolutionized traditional industries’ development. The organic integration of community social work and big data technology will undoubtedly promote the growth of community social work services, thanks to the new information technology platform for big data. In terms of the future of big data-driven social work, it is primarily reflected in the following: in the application of social work, big data can acquire and update real human behavior data in real time, and eliminating the need for subjects’ subjective reports in the data collection process; It can also provide a basis for public decision-making, which is worthy of our active exploration and innovation, provide efficient and accurate technical means for risk population assessment and crisis intervention and have a more accurate and intuitive grasp of the temporal and spatial distribution of service personnel and basic social service facilities. The core of professionalization of social work is improving the post-setting system for social workers in our country, improving their treatment, and strengthening the construction of professional ethics for social workers in our country. A big data social workflow adaptive scheduling optimization algorithm based on the chaotic cloud diversion mechanism is proposed to address the problems of high costs, poor time convergence performance, and poor cost accounting quality in the current social workflow adaptive scheduling optimization algorithm. As an important part of social governance, social work accelerates the process of social work specialization to improve decision-making efficiency.
AbstractList Big data and mobile edge computing information technology have revolutionized traditional industries’ development. The organic integration of community social work and big data technology will undoubtedly promote the growth of community social work services, thanks to the new information technology platform for big data. In terms of the future of big data‐driven social work, it is primarily reflected in the following: in the application of social work, big data can acquire and update real human behavior data in real time, and eliminating the need for subjects’ subjective reports in the data collection process; It can also provide a basis for public decision‐making, which is worthy of our active exploration and innovation, provide efficient and accurate technical means for risk population assessment and crisis intervention and have a more accurate and intuitive grasp of the temporal and spatial distribution of service personnel and basic social service facilities. The core of professionalization of social work is improving the post‐setting system for social workers in our country, improving their treatment, and strengthening the construction of professional ethics for social workers in our country. A big data social workflow adaptive scheduling optimization algorithm based on the chaotic cloud diversion mechanism is proposed to address the problems of high costs, poor time convergence performance, and poor cost accounting quality in the current social workflow adaptive scheduling optimization algorithm. As an important part of social governance, social work accelerates the process of social work specialization to improve decision‐making efficiency.
Author Chen, Zhiyu
Chen, Jingguo
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  organization: The Affiliated Zhongshan HospitalSun Yat-Sen UniversityZhongshan 528403Chinasysu.edu.cn
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ContentType Journal Article
Copyright Copyright © 2022 Zhiyu Chen and Jingguo Chen.
Copyright © 2022 Zhiyu Chen and Jingguo Chen. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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– notice: Copyright © 2022 Zhiyu Chen and Jingguo Chen. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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SubjectTerms Adaptive algorithms
Big Data
Cloud computing
Data analysis
Data collection
Decision analysis
Decision making
Edge computing
Employees
Information technology
Internet
Mobile computing
Optimization
Project management
Research methodology
Scheduling
Service facilities
Social services
Social work
Social workers
Society
Spatial distribution
Workflow
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Title Decision-Making Model of Social Work Specialization Process Using Big Data Analysis and Chaos Cloud
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