Proceedings of the 2017 ACM on Web Science Conference最新文献_第2页

Industrial Knowledge Graphs Workshop 2017: co-located with the 9th International ACM Web Science Conference 2017 (Preface; part of Content) 2017年工业知识图谱研讨会:与2017年第九届国际ACM网络科学会议同址(前言;部分内容)

Proceedings of the 2017 ACM on Web Science Conference Pub Date : 2017-06-25 DOI: 10.1145/3091478.3162382

Varish Mulwad, Raghava Mutharaju

引用次数: 0

The Ethics of Doing Web Science Research: Panel Abstract 网络科学研究的伦理:小组摘要

Proceedings of the 2017 ACM on Web Science Conference Pub Date : 2017-06-25 DOI: 10.1145/3091478.3098883

K. Kinder-Kurlanda, P. Boldi

引用次数: 0

On Social Synchrony in Online Social Networks 论在线社交网络中的社交同步

Proceedings of the 2017 ACM on Web Science Conference Pub Date : 2017-06-25 DOI: 10.1145/3091478.3098881

N. Sivaraman, S. Muthiah, Pushkal Agarwal, Lokesh Todwal

引用次数: 1

Analysis of Temporal and Web Site References in History-related Tweets 历史相关推文中时间和网站引用的分析

Proceedings of the 2017 ACM on Web Science Conference Pub Date : 2017-06-25 DOI: 10.1145/3091478.3098868

Yasunobu Sumikawa, A. Jatowt, M. Düring

引用次数: 1

Understanding Temporal Backing Patterns in Online Crowdfunding Communities 理解在线众筹社区的时间支持模式

Proceedings of the 2017 ACM on Web Science Conference Pub Date : 2017-06-25 DOI: 10.1145/3091478.3091480

Yiming Liao, Thanh Tran, Dongwon Lee, Kyumin Lee

{"title":"Understanding Temporal Backing Patterns in Online Crowdfunding Communities","authors":"Yiming Liao, Thanh Tran, Dongwon Lee, Kyumin Lee","doi":"10.1145/3091478.3091480","DOIUrl":"https://doi.org/10.1145/3091478.3091480","url":null,"abstract":"Online crowdfunding platforms such as Kickstarter and Indiegogo make it possible for users to pledge funds to help creators bring their favorite projects into life. With an increasing number of users participating in crowdfunding, researchers are progressively motivated to investigate on improving user experiences by recommending projects and predicting project outcomes. To prompt the sustainable development of these platforms, understanding backers' behaviors becomes also important, as it helps platforms provide better services and improve backer retention. In particular, studying backers' temporal behaviors allows them to monitor the dynamics of backers' actions and develop appropriate strategies in time. Therefore, in this paper, we analyze a large amount of backer data from Kickstarter and Indiegogo, and do a comprehensive quantitative analysis on users' temporal backing patterns. Employing time series clustering methods, we discover four distinct temporal backing patterns on both platforms. In addition, we explore various characteristics of these backing patterns and possible factors affecting backers' behaviors. Finally, we leverage these insights to build a prediction model and show promising results to identify users' backing patterns at a very early stage. The datasets used in this paper are available at: https://goo.gl/ozgLvP.","PeriodicalId":165747,"journal":{"name":"Proceedings of the 2017 ACM on Web Science Conference","volume":"7 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":"114463781","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: 4

Generating Digital Twin Models using Knowledge Graphs for Industrial Production Lines 利用知识图谱为工业生产线生成数字孪生模型

Proceedings of the 2017 ACM on Web Science Conference Pub Date : 2017-06-25 DOI: 10.1145/3091478.3162383

Agniva Banerjee, Raka Dalal, Sudip Mittal, K. Joshi

引用次数: 72

Web Science Challenges in Researching Bug Bounties 研究漏洞赏金的网络科学挑战

Proceedings of the 2017 ACM on Web Science Conference Pub Date : 2017-06-25 DOI: 10.1145/3091478.3091517

Huw Fryer, E. Simperl

引用次数: 11

Privacy for Children and Teenagers on Social Networks from a Usability Perspective: A Case Study on Facebook 从可用性角度分析儿童和青少年在社交网络上的隐私:以Facebook为例

Proceedings of the 2017 ACM on Web Science Conference Pub Date : 2017-06-25 DOI: 10.1145/3091478.3091479

Cristiana S. Silva, G. A. R. Barbosa, I. S. Silva, Tatiane S. Silva, Fernando Mourão, Flávio R. S. Coutinho

引用次数: 16

The Limits of Abstract Evaluation Metrics: The Case of Hate Speech Detection 抽象评价指标的局限性:以仇恨言论检测为例

Proceedings of the 2017 ACM on Web Science Conference Pub Date : 2017-06-25 DOI: 10.1145/3091478.3098871

Alexandra Olteanu, Kartik Talamadupula, Kush R. Varshney

{"title":"The Limits of Abstract Evaluation Metrics: The Case of Hate Speech Detection","authors":"Alexandra Olteanu, Kartik Talamadupula, Kush R. Varshney","doi":"10.1145/3091478.3098871","DOIUrl":"https://doi.org/10.1145/3091478.3098871","url":null,"abstract":"Wagstaff (2012) draws attention to the pervasiveness of abstract evaluation metrics that explicitly ignore or remove problem specifics. While such metrics allow practitioners to compare numbers across application domains, they offer limited insight into the impact of algorithmic decisions on humans and their perception of the algorithm's correctness. Even for problems that are mathematically the same, both the real-cost of (mathematically) identical errors, as well as their perceived-cost by users, may significantly vary according to the specifics of each problem domain, as well as of the user perceiving the result. While the real-cost of errors has been considered previously, little attention has been paid to the perceived-cost issue. We advocate for the inclusion of human-centered metrics that elicit error costs from humans from two perspectives: the nature of the error, and the user context. Focusing on hate speech detection on social media, we demonstrate that even when fixing the performance as measured by an abstract metric such as precision, user perception of correctness varies greatly depending on the nature of errors and user characteristics.","PeriodicalId":165747,"journal":{"name":"Proceedings of the 2017 ACM on Web Science Conference","volume":"274 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":"134211034","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: 38

A Knowledge Graph Framework for Detecting Traffic Events Using Stationary Cameras 基于静止摄像机的交通事件检测知识图谱框架

Proceedings of the 2017 ACM on Web Science Conference Pub Date : 2017-06-25 DOI: 10.1145/3091478.3162384

RoopTeja Muppalla, Sarasi Lalithsena, Tanvi Banerjee, A. Sheth

{"title":"A Knowledge Graph Framework for Detecting Traffic Events Using Stationary Cameras","authors":"RoopTeja Muppalla, Sarasi Lalithsena, Tanvi Banerjee, A. Sheth","doi":"10.1145/3091478.3162384","DOIUrl":"https://doi.org/10.1145/3091478.3162384","url":null,"abstract":"With the rapid increase in urban development, it is critical to utilize dynamic sensor streams for traffic understanding, especially in larger cities where route planning or infrastructure planning is more critical. This creates a strong need to understand traffic patterns using ubiquitous sensors to allow city officials to be better informed when planning urban construction and to provide an understanding of the traffic dynamics in the city. In this study, we propose our framework ITSKG (Imagery-based Traffic Sensing Knowledge Graph) which utilizes the stationary traffic camera information as sensors to understand the traffic patterns. The proposed system extracts image-based features from traffic camera images, adds a semantic layer to the sensor data for traffic information, and then labels traffic imagery with semantic labels such as congestion. We share a prototype example to highlight the novelty of our system and provide an online demo to enable users to gain a better understanding of our system. This framework adds a new dimension to existing traffic modeling systems by incorporating dynamic image-based features as well as creating a knowledge graph to add a layer of abstraction to understand and interpret concepts like congestion to the traffic event detection system.","PeriodicalId":165747,"journal":{"name":"Proceedings of the 2017 ACM on Web Science Conference","volume":"20 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":"125491571","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: 13