Proceedings of the 2017 ACM on Web Science Conference最新文献

A Semantic Workflow Approach to Web Science Analytics Web科学分析的语义工作流方法

Proceedings of the 2017 ACM on Web Science Conference Pub Date : 2017-06-25 DOI: 10.1145/3091478.3098875

Spencer C. Norris, John S. Erickson, D. McGuinness

{"title":"A Semantic Workflow Approach to Web Science Analytics","authors":"Spencer C. Norris, John S. Erickson, D. McGuinness","doi":"10.1145/3091478.3098875","DOIUrl":"https://doi.org/10.1145/3091478.3098875","url":null,"abstract":"Reproducibility and reuse are rapidly becoming guiding principles in publishing and sharing scientific results. In order to enhance researchers' ability to leverage existing results, many are moving in the direction of semantic workflow systems, which enable users to define and share experimental procedures as linked data on the Web. These workflows provide a powerful mechanism for reproducing experiments and thus are well-suited for Web Science tasks. In order to aid users in the process of experiment design and reproduction, we are integrating the Workflow INstance Generation and Specialization (WINGS) system with our existing Semantic Numeric Exploration Technology (SemNExT) framework. This will provide a completely open-source stack for designing in silico experiments using a combination of semantic and numeric analyses. We will explore how this system may be configured to create reproducible Web Science workflows, especially as it pertains to data federation across the Web. We are leveraging our existing tooling as we develop new approaches for automatically generating provenance for interacting with remote endpoints of heterogeneous data sources. This will support not only the aggregation of diverse and geographically-disparate data sources across the Web, but also collaborative science by allowing other users to reproduce and expand on the same results using shared workflows.","PeriodicalId":165747,"journal":{"name":"Proceedings of the 2017 ACM on Web Science Conference","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122450887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ongoing Events in Wikipedia: A Cross-lingual Case Study 维基百科中正在发生的事件:跨语言案例研究

Proceedings of the 2017 ACM on Web Science Conference Pub Date : 2017-06-25 DOI: 10.1145/3091478.3098879

Simon Gottschalk, Elena Demidova, Viola Bernacchi, Richard A. Rogers

引用次数: 3

Proceedings of the 2017 ACM on Web Science Conference 2017年ACM网络科学会议论文集

Proceedings of the 2017 ACM on Web Science Conference Pub Date : 2017-06-25 DOI: 10.1145/3091478

P. Fox, D. McGuinness, L. Poirer, P. Boldi, K. Kinder-Kurlanda

{"title":"Proceedings of the 2017 ACM on Web Science Conference","authors":"P. Fox, D. McGuinness, L. Poirer, P. Boldi, K. Kinder-Kurlanda","doi":"10.1145/3091478","DOIUrl":"https://doi.org/10.1145/3091478","url":null,"abstract":"Welcome to Web Science! The ACM Web Science Conference 2017 is the 9th conference of the series (the 7th being sponsored by ACM-SIGWEB), and it is a unique venue where different disciplines are brought together in a creative and critical dialogue with the aim of understanding the Web. It is a very inclusive, interdisciplinary congress that welcomes participation from all fields including art, anthropology, computer and information sciences, communication, economics, humanities, informatics, law, linguistics, philosophy, political science, psychology, and sociology. In particular, this conference is a unicum in that it has a tradition for contributions that seek to cross traditional disciplinary boundaries. \u0000 \u0000This year we were very pleased to receive 85 long paper submissions, 42 short paper submissions, and 32 extended abstract/poster submissions, totaling 159 candidate contributions. Given the high quality of submission, it has been a hard job to decide which of the contributions to select for the conference. We are grateful for the support of the Program Committee which consisted of 12 senior members and 66 regular members, plus 50 subreviewers for the research track and 23 regular members plus 3 subreviewers for the poster track. All PC members worked hard, producing 478 reviews and 127 meta-reviews; the process generated intense discussions, with more than 220 comments, based on which we could select an interesting, varied, exciting program comprising 30 long,15 short papers and 23 extended abstracts/posters. \u0000 \u0000The final program for the main track will include sessions touching different, interesting, timely topics, as one can judge from their titles: \u0000Aggression, controversy, crime \u0000Groups and individuals, attention, opinion \u0000Talking, thinking and living online \u0000Networks: structure, identifiers, search \u0000Time, space, archives \u0000Reflecting, thinking, understanding","PeriodicalId":165747,"journal":{"name":"Proceedings of the 2017 ACM on Web Science Conference","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126918900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Where Could We Go?: Recommendations for Groups in Location-Based Social Networks 我们能去哪里?:对基于位置的社交网络中的群组的建议

Proceedings of the 2017 ACM on Web Science Conference Pub Date : 2017-06-25 DOI: 10.1145/3091478.3091485

Frederick Ayala-Gómez, B. Daróczy, M. Mathioudakis, A. Benczúr, A. Gionis

{"title":"Where Could We Go?: Recommendations for Groups in Location-Based Social Networks","authors":"Frederick Ayala-Gómez, B. Daróczy, M. Mathioudakis, A. Benczúr, A. Gionis","doi":"10.1145/3091478.3091485","DOIUrl":"https://doi.org/10.1145/3091478.3091485","url":null,"abstract":"Location-Based Social Networks (LBSNs) enable their users to share with their friends the places they go to and whom they go with. Additionally, they provide users with recommendations for Points of Interest (POI) they have not visited before. This functionality is of great importance for users of LBSNs, as it allows them to discover interesting places in populous cities that are not easy to explore. For this reason, previous research has focused on providing recommendations to LBSN users. Nevertheless, while most existing work focuses on recommendations for individual users, techniques to provide recommendations to groups of users are scarce. In this paper, we consider the problem of recommending a list of POIs to a group of users in the areas that the group frequents. Our data consist of activity on Swarm, a social networking app by Foursquare, and our results demonstrate that our proposed Geo-Group-Recommender (GGR), a class of hybrid recommender systems that combine the group geographical preferences using Kernel Density Estimation, category and location features and group check-ins outperform a large number of other recommender systems. Moreover, we find evidence that user preferences differ both in venue category and in location between individual and group activities. We also show that combining individual recommendations using group aggregation strategies is not as good as building a profile for a group. Our experiments show that (GGR) outperforms the baselines in terms of precision and recall at different cutoffs.","PeriodicalId":165747,"journal":{"name":"Proceedings of the 2017 ACM on Web Science Conference","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121659596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 20

ELEVATE: A Framework for Entity-level Event Diffusion Prediction into Foreign Language Communities 外语社区实体级事件扩散预测框架

Proceedings of the 2017 ACM on Web Science Conference Pub Date : 2017-06-25 DOI: 10.1145/3091478.3091481

Govind, M. Spaniol

引用次数: 6

The Ethical Challenges of Publishing Twitter Data for Research Dissemination 发布Twitter数据用于研究传播的伦理挑战

Proceedings of the 2017 ACM on Web Science Conference Pub Date : 2017-06-25 DOI: 10.1145/3091478.3091489

Helena Webb, M. Jirotka, B. Stahl, W. Housley, Adam Edwards, M. Williams, R. Procter, O. Rana, P. Burnap

{"title":"The Ethical Challenges of Publishing Twitter Data for Research Dissemination","authors":"Helena Webb, M. Jirotka, B. Stahl, W. Housley, Adam Edwards, M. Williams, R. Procter, O. Rana, P. Burnap","doi":"10.1145/3091478.3091489","DOIUrl":"https://doi.org/10.1145/3091478.3091489","url":null,"abstract":"Empirical research involving the analysis of Internet-based data raises a number of ethical challenges. One instance of this is the analysis of Twitter data, in particular when specific tweets are reproduced for the purposes of dissemination. Although Twitter is an open platform it is possible to question whether this provides a sufficient ethical justification to collect, analyse and reproduce tweets for the purposes of research or whether it is necessary to also undertake specific informed consent procedures. This paper reports on an ethics consultation that formed part of a wider research study and that aimed to identify best practice procedures for the publication of Twitter data in research findings. We focus largely on the UK context and draw on the outcomes of the consultation to highlight the range and depth of ethical issues that arise in this area. We can see Twitter as a case study for a wide number of data sources used in Web Science. This is a highly complex landscape in which questions crystallise around fundamental principles such as informed consent, anonymisation and the minimisation of harm. Furthermore, tensions exist between commercial, regulatory and academic practices, and there are also circumstances in which good ethical practice might compromise academic integrity. There is an absence of consensus in Web science and related fields over how to resolve these issues and we argue that constructive debate is necessary in order to take a proactive approach towards good practice.","PeriodicalId":165747,"journal":{"name":"Proceedings of the 2017 ACM on Web Science Conference","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130071280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 53

A Turn for the Scruffy: An Ethnographic Study of Semantic Web Architecture 转向邋遢:语义Web架构的人种学研究

Proceedings of the 2017 ACM on Web Science Conference Pub Date : 2017-06-25 DOI: 10.1145/3091478.3091505

Lindsay Poirier

引用次数: 2

Understanding Para Social Breakups on Twitter 了解推特上的社交分手

Proceedings of the 2017 ACM on Web Science Conference Pub Date : 2017-06-25 DOI: 10.1145/3091478.3098877

Venkata Rama Kiran Garimella, Jonathan Cohen, Ingmar Weber

引用次数: 3

Web Science: Mapping the Curriculum 网络科学:课程映射

Proceedings of the 2017 ACM on Web Science Conference Pub Date : 2017-06-25 DOI: 10.1145/3091478.3091511

Elisabeth Coskun, S. White

引用次数: 2

EDSV: Emerging Defect Surveillance for Vehicles EDSV:车辆新缺陷监测

Proceedings of the 2017 ACM on Web Science Conference Pub Date : 2017-06-25 DOI: 10.1145/3091478.3091521

Jiejun Xu, Daniel Xie, Tsai-Ching Lu, J. Cafeo

引用次数: 1