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A Survey on Event Tracking in Social Media Data Streams

Big Data Mining and Analytics 2024年第1期7卷 217-243页

作者： Zixuan Han Leilei Shi Lu Liu Liang Jiang Jiawei Fang Fanyuan Lin Jinjuan Zhang john panneerselvam.nick antonopoulos School of Computer Science and Communication Engineering and Jiangsu Key Laboratory of Security Technology for Industrial Cyberspace Jiangsu UniversityZhenjiang 212013China School of Computing and Mathematical Sciences University of LeicesterLeicesterLE17RHUK Ocean College Jiangsu University of Science and TechnologyZhenjiang 212100China University Executive Office Edinburgh Napier UniversityEdinburghEH114BNUK

Social networks are inevitable parts of our daily life,where an unprecedented amount of complex data corresponding to a diverse range of applications are *** such,it is imperative to conduct research on social events and patterns from the perspectives of conventional sociology to optimize services that originate from social *** tracking in social networks finds various applications,such as network security and societal governance,which involves analyzing data generated by user groups on social networks in real ***,as deep learning techniques continue to advance and make important breakthroughs in various fields,researchers are using this technology to progressively optimize the effectiveness of Event Detection(ED)and tracking *** this regard,this paper presents an in-depth comprehensive review of the concept and methods involved in ED and tracking in social *** introduce mainstream event tracking methods,which involve three primary technical steps:ED,event propagation,and event ***,we introduce benchmark datasets and evaluation metrics for ED and tracking,which allow comparative analysis on the performance of mainstream ***,we present a comprehensive analysis of the main research findings and existing limitations in this field,as well as future research prospects and challenges.

关键词： Event Detection(ED) event propagation event evolution social networks

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Data Temperature Informed Streaming for Optimising Large-Scale Multi-Tiered Storage

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Big Data Mining and Analytics 2024年第2期7卷 371-398页

作者： Dominic Davies-Tagg Ashiq Anjum Ali Zahir Lu Liu Muhammad Usman Yaseen nick antonopoulos Department of Computing University of DerbyDerbyDE221GBUK Department of Informatics University of LeicesterLeicesterLE17RHUK Department of Computer Science COMSATS University IslamabadIslamabad 45550Pakistan Edinburgh Napier University EdinburghEH114BNUK

Data temperature is a response to the ever-growing amount of *** data have to be stored,but they have been observed that only a small portion of the data are accessed more frequently at any one *** leads to the concept of hot and cold *** data can be migrated away from high-performance nodes to free up performance for higher priority *** studies classify hot and cold data primarily on the basis of data age and usage *** present this as a limitation in the current implementation of data *** is due to the fact that age automatically assumes that all new data have priority and that usage is purely *** propose new variables and conditions that influence smarter decision-making on what are hot or cold data and allow greater user control over data location and their *** identify new metadata variables and user-defined variables to extend the current data temperature *** further establish rules and conditions for limiting unnecessary movement of the data,which helps to prevent wasted input output(I/O)*** also propose a hybrid algorithm that combines existing variables and new variables and conditions into a single data *** proposed system provides higher accuracy,increases performance,and gives greater user control for optimal positioning of data within multi-tiered storage solutions.

关键词： data temperature hot and cold data multi-tiered storage metadata variable multi-temperature system

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EA-DFPSO:An intelligent energy-efficient scheduling algorithm for mobile edge networks

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Digital Communications and Networks 2022年第3期8卷 237-246页

作者： Yao Lu Lu Liu Jiayan Gu john panneerselvam Bo Yuan School of Informatics University of LeicesterUniversity RoadLeicesterLE17RHUnited Kingdom School of Computing and Engineering University of DerbyKedleston RoadDerbyDE221GBUnited Kingdom

Cloud data centers have become overwhelmed with data-intensive applications due to the limited computational capabilities of mobile *** edge computing is emerging as a potential paradigm to host application execution at the edge of networks to reduce transmission *** nodes are usually distributed in edge environments,enabling crucially efficient task scheduling among those nodes to achieve reduced processing ***,it is imperative to conserve edge server energy,enhancing their *** this end,this paper proposes a novel task scheduling algorithm named Energy-aware Double-fitness Particle Swarm Optimization(EA-DFPSO)that is based on an improved particle swarm optimization algorithm for achieving energy efficiency in an edge computing environment along with minimal task execution *** proposed EA-DFPSO algorithm applies a dual fitness function to search for an optimal tasks-scheduling scheme for saving edge server energy while maintaining service quality for *** experimentation demonstrates that our proposed EA-DFPSO algorithm outperforms the existing traditional scheduling algorithms to achieve reduced task completion time and conserve energy in an edge computing environment.

关键词： Mobile edge computing Energy-aware systems Task scheduling Heuristic algorithms

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A Novel Influence Maximization Algorithm for a Competitive Environment Based on Social Media Data Analytics

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Big Data Mining and Analytics 2022年第2期5卷 130-139页

作者： Jie Tong Leilei Shi Lu Liu john panneerselvam Zixuan Han the School of Computer Science and Telecommunication Engineering and Jiangsu Key Laboratory of Security Technology for Industrial Cyberspace Jiangsu UniversityZhenjiang 212013China the School of Computing and Mathematical Sciences University of LeicesterLeicester LE17RHUK

Online social networks are increasingly connecting people around the *** maximization is a key area of research in online social networks,which identifies influential users during information *** of the existing influence maximization methods only consider the transmission of a single channel,but real-world networks mostly include multiple channels of information transmission with competitive *** problem of influence maximization in an environment involves selecting the seed node set for certain competitive information,so that it can avoid the influence of other information,and ultimately affect the largest set of nodes in the *** this paper,the influence calculation of nodes is achieved according to the local community discovery algorithm,which is based on community dispersion and the characteristics of dynamic community ***,considering two various competitive information dissemination cases as an example,a solution is designed for self-interested information based on the assumption that the seed node set of competitive information is known,and a novel influence maximization algorithm of node avoidance based on user interest is *** conducted based on real-world Twitter dataset demonstrates the efficiency of our proposed algorithm in terms of accuracy and time against notable influence maximization algorithms.

关键词： influence maximization competitive environment dynamic network

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Virtual vignettes: the acquisition,analysis,and presentation of social network data

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Science China(Information Sciences) 2014年第3期57卷 46-65页

作者： HOWDEN Chris LIU Lu LI ZhiYuan LI JianXin antonopoulos nick School of Computing and Mathematics University of DerbyDerby DE22 1GBUnited Kingdom School of Computer Science and Telecommunication Engineering Jiangsu University School of Computer Science and Engineering Beihang University School of Computing and Mathematics University of Derby

Online social networks(OSNs)are immensely prevalent and have now become a ubiquitous and important part of the modern,developed ***,online social networks pose significant problems to digital forensic investigators who have no experience *** will reside on multiples of servers in multiple countries,across multiple *** it before it is overwritten or deleted is a known problem,mirrored in other cloud based *** this article,a novel method has been developed for the extraction,analysis,visualization,and comparison of snapshotted user profile data from the online social network *** research follows a process of design,implementation,simulation,and *** code of the tool that was developed to facilitate data extraction has been made available on the Internet.

关键词： online social networks Twitter digital forensics cloud computing social network forensic analysis

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ED-SWE:Event detection based on scoring and word embedding in online social networks for the internet of people

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Digital Communications and Networks 2021年第4期7卷 559-569页

作者： Xiang Sun Lu Liu Ayodeji Ayorinde john panneerselvam School of Informatics University of LeicesterUK School of Computer Science and Telecommunication Engineering Jiangsu UniversityJiangsuChina

Online social media networks are gaining attention worldwide,with an increasing number of people relying on them to connect,communicate and share their daily pertinent event-related *** detection is now increasingly leveraging online social networks for highlighting events happening around the world via the Internet of *** this paper,a novel Event Detection model based on Scoring and Word Embedding(ED-SWE)is proposed for discovering key events from a large volume of data streams of tweets and for generating an event summary using keywords and top-k *** proposed ED-SWE model can distill high-quality tweets,reduce the negative impact of the advent of spam,and identify latent events in the data streams ***,a word embedding algorithm is used to learn a real-valued vector representation for a predefined fixed-sized vocabulary from a corpus of Twitter *** order to further improve the performance of the Expectation-Maximization(EM)iteration algorithm,a novel initialization method based on the authority values of the tweets is also proposed in this paper to detect live events efficiently and ***,a novel automatic identification method based on the cosine measure is used to automatically evaluate whether a given topic can form a live *** conducted on a real-world dataset demonstrate that the ED-SWE model exhibits better efficiency and accuracy than several state-of-art event detection models.

关键词： Internet of people Hyperlink-induced topic search Event detection Online social networks

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烷基9-氮硝基喜树碱酯类的构效关系

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Acta Pharmacologica Sinica 2003年第2期24卷 109-119页

作者： Panayotis PANTAZIS john MENDOZA Janet EARLY Anthony KOZIELSKI nick HARRIS Beppino GIOVANELLA The Stehlin Foundation for Cancer Research at St. Joseph Hospital 1918 Chenevert Houston Texas 77003 USA The Stehlin Foundation for Cancer Research at St. Joseph Hospital 1918 Chenevert Houston Texas 77003 USA The Stehlin Foundation for Cancer Research at St. Joseph Hospital 1918 Chenevert Houston Texas 77003 USA The Stehlin Foundation for Cancer Research at St. Joseph Hospital 1918 Chenevert Houston Texas 77003 USA The Stehlin Foundation for Cancer Research at St. Joseph Hospital 1918 Chenevert Houston Texas 77003 USA The Stehlin Foundation for Cancer Research at St. Joseph Hospital 1918 Chenevert Houston Texas 77003 USA

AIM: To study the structure-activity relationship of alkyl 9-nitrocamptothecin esters. METHODS: Two alkyl 9-nitrocamptothecin (9NC) esters 5g and 5h were prepared by esterification reactions of 9NC with valeric anhydride and heptanoic anhydride, respectively. Eight 9NC esters 5a-5h were tested for cytotoxicity against human leukemia cell lines HL-60 and U-937. Flow cytometry analysis was used to identify the cell cycle phase targeted by the esters and quantify the extent of ester-induced cell death (apoptosis). RESULTS: Esters 5b and 5c demonstrated great abilities to inhibit growth of the leukemia cells followed by induction of apoptosis; esters 5a, 5e, and 5g induced slight perturbations in the cell cycle at high concentrations; and esters 5d, 5f, and 5h were completely inactive against the cell lines tested. Thus these esters showed the cell anti-proliferative activity in an order of 5b≈5c>5a≈5e≈5g>5d≈5f≈5h. Esters 5b, 5c, and 5e were tested in vivo against various human carcinomas in nude mice grown as xenografts. Only 5b and 5c showed a significant antitumor activity. Particularly, ester 5b demonstrated an antitumor activity against a broad spectrum of human carcinomas including breast, lung, colon, pancreas, stomach, ovarian, and melanoma, etc. CONCLUSION: These esters act like prodrugs of their parental 9-nitrocamptothecin. High drug doses need to be administered to animals in order to inhibit growth, and induce regression, of human tumor xenografts in nude mice. These compounds may be developed into potent anticancer drugs due to their low toxicity.

关键词：喜树碱酯类药物前体抗肿瘤药毒性构效关系

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Unique,Persistent,Resolvable:Identifiers as the Foundation of FAIR

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Data Intelligence 2020年第1期2卷 30-39,302页

作者： nick Juty Sarala M.Wimalaratne Stian Soiland-Reyes john Kunze Carole A.Goble Tim Clark Department of Computer Science The University of ManchesterOxford RoadManchester M139PLUK European Bioinformatics Institute(EMBL-EBI) HinxtonCambridgeCB101SDUK California Digital Library OaklandCalifornia 94612-2901USA Data Science Institute University of VirginiaCharlottesvilleVA 22903-1738USA

The FAIR principles describe characteristics intended to support access to and reuse of digital artifacts in the scientific research ***,globally unique identifiers,resolvable on the Web,and associated with a set of additional descriptive metadata,are foundational to FAIR *** we describe some basic principles and exemplars for their design,use and orchestration with other system elements to achieve FAIRness for digital research objects.

关键词： Identifiers metadata findability FAIR data data infrastructures

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Mapping Software Metrics to Module Complexity: A Pattern Classification Approach

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Journal of Software Engineering and Applications 2011年第7期4卷 426-432页

作者： nick john Pizzi 不详

A desirable software engineering goal is the prediction of software module complexity (a qualitative concept) using automatically generated software metrics (quantitative measurements). This goal may be couched in the language of pattern classification;namely, given a set of metrics (a pattern) for a software module, predict the class (level of complexity) to which the module belongs. To find this mapping from metrics to complexity, we present a classification strategy, stochastic metric selection, to determine the subset of software metrics that yields the greatest predictive power with respect to module complexity. We demonstrate the effectiveness of this strategy by empirically evaluating it using a publicly available dataset of metrics compiled from a medical imaging system and comparing the prediction results against several classification system benchmarks.

关键词： Software Metrics Pattern Classification Feature Selection Software Complexity

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上海宝山钢铁公司新建4号板坯连铸机

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钢铁 2006年第9期41卷 85-88页

作者： john Lester nick Stanley Carlo P.Piemonte 达涅利Davy Distington公司

宝钢新建4号板坯连铸机将成为先进的机械设备与动态自动控制系统完美结合的典范,将使设备性能和生产操作灵活性达到一个新的水平。新建铸机将能够浇铸包括超低碳钢,低、中、高碳钢,包晶钢和微合金钢在内的各种钢种,不论在产品质量,还是... 详细信息

宝钢新建4号板坯连铸机将成为先进的机械设备与动态自动控制系统完美结合的典范,将使设备性能和生产操作灵活性达到一个新的水平。新建铸机将能够浇铸包括超低碳钢,低、中、高碳钢,包晶钢和微合金钢在内的各种钢种,不论在产品质量,还是在生产能力方面,都将达到最好的水平。

关键词：板坯连铸机

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