Spatial network analysis of carbon emissions from the electricity sector in China

YY He, ZX Wei, GQ Liu, P Zhou - Journal of Cleaner Production, 2020 - Elsevier
This paper constructs a spatial association network of carbon emissions from the electricity
sector in Chinese provinces by using an improved gravity model and the data on carbon …

Predicting emotions in online social networks: challenges and opportunities

G Alqahtani, A Alothaim - Multimedia Tools and Applications, 2022 - Springer
Online social networking has become a popular means of information exchange and social
interactions. Users of these platforms generate massive amounts of data about their …

Bibliometric study of social network analysis literature

YS Su, CL Lin, SY Chen, CF Lai - Library Hi Tech, 2020 - emerald.com
Purpose The purpose of this paper is to use bibliometric analysis to identify the current state
of the academic literature regarding social network analysis (SNA) and analyze its …

Analysis on the theory and practice of industrial symbiosis based on bibliometrics and social network analysis

M Huang, Z Wang, T Chen - Journal of cleaner production, 2019 - Elsevier
Industrial symbiosis (IS) can generate economic, social, and environmental benefits, and
support sustainable development; thus, many governments and scholars are devoted to …

Spatial correlation analysis of low-carbon innovation: A case study of manufacturing patents in China

C Yang, S Liu - Journal of Cleaner Production, 2020 - Elsevier
Research on the influence of spatial correlation network structures on low-carbon innovation
can inform policymaking in the construction of cross-regional collaboration mechanisms for …

A proposed social network analysis platform for big data analytics

V Chang - Technological Forecasting and Social Change, 2018 - Elsevier
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 …

Gaze and event tracking for evaluation of recommendation-driven purchase

P Sulikowski, T Zdziebko, K Coussement… - Sensors, 2021 - mdpi.com
Recommendation systems play an important role in e-commerce turnover by presenting
personalized recommendations. Due to the vast amount of marketing content online, users …

Study on the spatial association and influencing factors of carbon emissions from the Chinese construction industry

S Li, Q Wu, Y Zheng, Q Sun - Sustainability, 2021 - mdpi.com
As the world's largest carbon emitter, China is under enormous pressure to decrease carbon
emissions. With the economic development in recent years, China has increased its …

E‐Commerce Credit Risk Assessment Based on Fuzzy Neural Network

L Wang, H Song - Computational Intelligence and …, 2022 - Wiley Online Library
In this paper, we propose a cooperative strategy‐based self‐organization mechanism to
reconstruct the network. The mechanism includes a comprehensive evaluation algorithm …

Personalized recommendation by matrix co-factorization with multiple implicit feedback on pairwise comparison

F Prathama, WF Senjaya, BN Yahya, JZ Wu - Computers & Industrial …, 2021 - Elsevier
Recommendation systems have been tremendously important to assist users to find relevant
items. With the information-overloaded problem, it becomes crucial to understand users' …