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Social Influence Analysis: Models, Methods, and Evaluation Review

Kan Li, Lin Zhang, Heyan Huang

Engineering 2018, Volume 4, Issue 1, Pages 40-46 doi: 10.1016/j.eng.2018.02.004

Abstract:

Social influence analysis (SIA) is a vast research field that has attracted research interest in manyWe analyze social influence methods including influence maximization, influence minimization, flow ofIn social influence evaluation, influence evaluation metrics are introduced and social influence evaluationThe objectives of this paper are to provide a comprehensive analysis, aid in understanding social behaviors

Keywords： Social influence analysis Online social networks Social influence analysis models Influence evaluation

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Investigating the effect of online and offline reputation on the provision of online counseling services

Frontiers of Engineering Management Pages 563-576 doi: 10.1007/s42524-022-0198-0

Abstract: The objective of our study is to explore the factors motivating Chinese physicians to provide onlinehealth counseling services from the perspectives of their online and offline reputation.Based on the reputation theory and previous studies, we incorporate patients’ feedback as physicians’ onlineResults show that physicians’ online reputation significantly and positively influence their online counselingbehaviors, whereas physicians’ offline reputation significantly and negatively influence their online

Keywords： Internet hospitals physicians’ online counseling online reputation offline reputation

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A modified neural learning algorithm for online rotor resistance estimation in vector controlled induction

A. CHITRA,S. HIMAVATHI

Frontiers in Energy 2015, Volume 9, Issue 1, Pages 22-30 doi: 10.1007/s11708-014-0339-1

Abstract: Online estimation of rotor resistance is essential for high performance vector controlled drives.In this paper, a novel modified neural algorithm has been identified for the online estimation of rotor

Keywords： neural networks back propagation (BP) rotor resistance estimators vector control induction motor

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The CatMath: an online predictive platform for thermal + electrocatalysis

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 12, Pages 2156-2160 doi: 10.1007/s11705-023-2371-3

Abstract: Herein, we introduce the CatMath—an online platform for generating a variety of common and industriallyBesides, the CatMath provides the function of the online generation of Surface Pourbaix Diagram for surface

Keywords： CatMath catalysis volcano activity plots Surface Pourbaix Diagrams online platform

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Collaborative learning via social computing None

Ricardo S. ALONSO, Javier PRIETO, Óscar GARCÍA, Juan M. CORCHADO

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 2, Pages 265-282 doi: 10.1631/FITEE.1700840

Abstract: challenge within educational innovation is the design of collaborative learning activities from the socialprocess of developing collaborative learning activities, taking advantage of contextual information and socialstudy of a collaborative WebQuest within a museum has shown that, among other benefits, the use of social

Keywords： Context-awareness Collaborative learning Social computing Virtual organizations Wireless sensor networks

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Emergence mechanisms of group consensus in social networks

Frontiers of Engineering Management doi: 10.1007/s42524-023-0277-x

Abstract: Reaching consensus within larger social network groups has emerged as a pivotal concern in the digitalcollective intelligence resulting from self-organizing actions and interactions of individuals within a socialConcurrently, it holds substantial importance for advancing the broader research landscape pertaining to social

Keywords： group consensus social network collective intelligence

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The influence of social media on stock volatility

Xianjiao WU, Xiaolin WANG, Shudong MA, Qiang YE

Frontiers of Engineering Management 2017, Volume 4, Issue 2, Pages 201-211 doi: 10.15302/J-FEM-2017018

Abstract: This study explores the influence of social media on stock volatility and builds a feature model withan intelligence algorithm using social media data from Xueqiu.com in China, Sina Finance and EconomicsWe find that the effect of social factors, such as increased attention to a stock’s volatility, is moreA prediction model is introduced based on social factors and public sentiment to predict stock volatilityOur findings indicate that the influence of social media data on the next day’s volatility is more significant

Keywords： stock volatility social data sentiment analysis boosting algorithm

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Split-order consolidation optimization for online supermarkets: Process analysis and optimization models

Frontiers of Engineering Management Pages 499-516 doi: 10.1007/s42524-022-0221-5

Abstract: The large-scale online supermarket is a newly emerging online retailing mode which brings great convenienceOnline supermarkets are characterized by having large amounts of daily orders with potentially multiplesplitting result in high cost and disturbance and a large number of discarded consumable packages at onlinefulfilment is critical for the advancement of the practice and theory in the context of highly complex onlineThe purpose of this article is to help pave the way for more effective online supermarket management

Keywords： online supermarkets split-order consolidation time–space network genetic algorithm

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review of modeling, structure, and integration techniques of smart buildings in the cyber-physical-social

Frontiers in Energy 2022, Volume 16, Issue 1, Pages 74-94 doi: 10.1007/s11708-021-0792-6

Abstract: Involving human behaviors and cyber space, a traditional power system evolves into a cyber-physical-social

Keywords： smart buildings cyber-physical-social-system optimization modeling demand response virtual power

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Screening responsive or resistant biomarkers of immune checkpoint inhibitors based on online databases

Zhen Xiang, Yingyan Yu

Frontiers of Medicine 2019, Volume 13, Issue 1, Pages 24-31 doi: 10.1007/s11684-019-0679-7

Abstract: Immune checkpoint inhibitors are a promising strategy in the treatment of cancer, especially advanced types. However, not all patients are responsive to immune checkpoint inhibitors. The response rate depends on the immune microenvironment, tumor mutational burden (TMB), expression level of immune checkpoint proteins, and molecular subtypes of cancers. Along with the Cancer Genome Project, various open access databases, including The Cancer Genome Atlas and Gene Expression Omnibus, provide large volumes of data, which allow researchers to explore responsive or resistant biomarkers of immune checkpoint inhibitors. In this review, we introduced some methodologies on database selection, biomarker screening, current progress of immune checkpoint blockade in solid tumor treatment, possible mechanisms of drug resistance, strategies of overcoming resistance, and indications for immune checkpoint inhibitor therapy.

Keywords： immune checkpoint blockade sensitivity resistance data mining

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Online gasoline blending with EPA Complex Model for predicting emissions

Stefan JANAQI, Mériam CHÈBRE, Guillaume PITOLLAT

Frontiers of Engineering Management 2018, Volume 5, Issue 2, Pages 214-226 doi: 10.15302/J-FEM-2017022

Abstract: , the execution time of these MINLP models remains prohibitively long to control emissions with our onlineThe first objective of this study is to present a new model that decreases the execution time of our onlineThe execution time never exceeded 1 s, which allows the online regulation of emissions the same way as

Keywords： emissions reformulated gasoline online control global optimization

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Environmental, social, and economic assessment of energy utilization of crop residue in China

Yueling ZHANG, Junjie LI, Huan LIU, Guangling ZHAO, Yajun TIAN, Kechang XIE

Frontiers in Energy 2021, Volume 15, Issue 2, Pages 308-319 doi: 10.1007/s11708-020-0696-x

Abstract: This paper aims to discuss an environmental, social, and economic analysis of energy utilization of cropachieve this objective are environmental life cycle assessment (E-LCA), life cycle cost (LCC), and social

Keywords： crop residue life cycle assessment life cycle cost social life cycle assessment energy production

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Online recognition of drainage type based on UV-vis spectra and derivative neural network algorithm

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 6, doi: 10.1007/s11783-021-1430-6

Abstract:

• UV-vis absorption analyzer was applied in drainage type online recognition

Keywords： Drainage online recognition UV-vis spectra Derivative spectrum Convolutional neural network

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Are public‒private partnerships still an answer for social infrastructure?

Frontiers of Engineering Management Pages 467-482 doi: 10.1007/s42524-023-0249-1

Abstract: Social infrastructure has become an important element for measuring national economic development andsocial benefits that are usually financed in the form of government grants, private investment, andHowever, social infrastructure PPPs have attracted considerable public debate due to their low profitabilityThis study aims to answer the question, “are PPPs still an answer for social infrastructure?”Results show that PPPs still have valuable application potential for delivering social infrastructure

Keywords： public‒private partnerships social infrastructure scientometric analysis systematic review

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Learning embeddings of a heterogeneous behavior network for potential behavior prediction Article

Yue-yang WANG, Wei-hao JIANG, Shi-liang PU, Yue-ting ZHUANG

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 3, Pages 422-435 doi: 10.1631/FITEE.1800493

Abstract: Potential behavior prediction involves understanding the latent human behavior of specific groups, andcan assist organizations in making strategic decisions. Progress in information technology has made it possible to acquire more and more data about human behavior. In this paper, we examine behavior data obtained in realworld scenarios as an information network composed of two types of objects (humans and actions) associated with various attributes and three types of relationships (human-human, human-action, and action-action), which we call the heterogeneous behavior network (HBN). To exploit the abundance and heterogeneity of the HBN, we propose a novel network embedding method, human-action-attribute-aware heterogeneous network embedding (a4HNE), which jointly considers structural proximity, attribute resemblance, and heterogeneity fusion. Experiments on two real-world datasets show that this approach outperforms other similar methods on various heterogeneous information network mining tasks for potential behavior prediction.

Keywords： Network embedding Representation learning Human behavior Social networks Heterogeneous information network