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Towards understanding bogus traffic service in online social networks Research Article

Ping HE, Xuhong ZHANG, Changting LIN, Ting WANG, Shouling JI,sji@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2024, Volume 25, Issue 3,   Pages 415-431 doi: 10.1631/FITEE.2300068

Abstract: Critical functionality and huge influence of the hot trend/topic page (HTP) in microblogging sites have driven the creation of a new kind of underground service called the service (BTS). BTS provides a kind of illegal service which hijacks the HTP by pushing the controlled topics into it for malicious customers with the goal of guiding public opinions. To hijack HTP, the agents of BTS maintain an army of black-market accounts called accounts (BTAs) and control BTAs to generate a burst of fake traffic by massively retweeting the tweets containing the customer desired topic (hashtag). Although this service has been extensively exploited by malicious customers, little has been done to understand it. In this paper, we conduct a systematic study of the BTS. We first investigate and collect 125 BTS agents from a variety of sources and set up a honey pot account to capture BTAs from these agents. We then build a BTA detector that detects 162 218 BTAs from Weibo, the largest Chinese microblogging site, with a precision of 94.5%. We further use them as a bridge to uncover 296 916 topics that might be involved in . Finally, we uncover the operating mechanism from the perspectives of the attack cycle and the attack entity. The highlights of our findings include the temporal attack patterns and intelligent evasion tactics of the BTAs. These findings bring BTS into the spotlight. Our work will help in understanding and ultimately eliminating this threat.

Keywords： Online social networks     Measurement     Bogus traffic     Black market    

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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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Emergence mechanisms of group consensus in social networks

Frontiers of Engineering Management 2024, Volume 11, Issue 2,   Pages 362-368 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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Identifying spreading influence nodes for social networks

Frontiers of Engineering Management 2022, Volume 9, Issue 4,   Pages 520-549 doi: 10.1007/s42524-022-0190-8

Abstract: The identification of spreading influence nodes in social networks, which studies how to detect importantindividuals in human society, has attracted increasing attention from physical and computer science, socialrecent progress about the identification algorithms of spreading influence nodes from the viewpoint of socialnetworks, emphasizing the contributions from physical perspectives and approaches, including the microstructure-based

Keywords： complex network     network science     spreading influence     machine learning    

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

Frontiers of Engineering Management 2022, Volume 9, Issue 4,   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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Split-order consolidation optimization for online supermarkets: Process analysis and optimization models

Frontiers of Engineering Management 2023, Volume 10, Issue 3,   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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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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Geological risk prediction under uncertainty in tunnel excavation using online learning and hidden Markov

Frontiers of Engineering Management doi: 10.1007/s42524-024-0082-1

Abstract: This study proposes a method, the online hidden Markov model (OHMM), which combines online learning withThis research advances geological risk prediction models by offering an online updating capability for

Keywords： geological risk prediction     machine learning     online learning     hidden Markov model     borehole logging    

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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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Navigating the environmental, economic and social impacts of sustainable agriculture and food systems

Frontiers of Agricultural Science and Engineering doi: 10.15302/J-FASE-2024550

Abstract: Navigating the environmental, economic and social impacts of sustainable agriculture and food systems

Keywords： impacts agriculture food    

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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 machine learning for stream wastewater influent flow rate prediction under unprecedented emergencies

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 12, doi: 10.1007/s11783-023-1752-7

Abstract:

● Online learning models accurately predict influent flow rate at

Keywords： Wastewater prediction     Data stream     Online learning     Batch learning     Influent flow rates    

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Title Author Date Type Operation

Towards understanding bogus traffic service in online social networks

Ping HE, Xuhong ZHANG, Changting LIN, Ting WANG, Shouling JI,sji@zju.edu.cn

Journal Article

Social Influence Analysis: Models, Methods, and Evaluation

Kan Li, Lin Zhang, Heyan Huang

Journal Article

Emergence mechanisms of group consensus in social networks

Journal Article

Identifying spreading influence nodes for social networks

Journal Article

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

Journal Article

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

A. CHITRA,S. HIMAVATHI

Journal Article

The CatMath: an online predictive platform for thermal + electrocatalysis

Journal Article

Collaborative learning via social computing

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

Journal Article

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

Journal Article

The influence of social media on stock volatility

Xianjiao WU, Xiaolin WANG, Shudong MA, Qiang YE

Journal Article

Geological risk prediction under uncertainty in tunnel excavation using online learning and hidden Markov

Journal Article

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

Journal Article

Navigating the environmental, economic and social impacts of sustainable agriculture and food systems

Journal Article

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

Zhen Xiang, Yingyan Yu

Journal Article

Online machine learning for stream wastewater influent flow rate prediction under unprecedented emergencies

Journal Article