2013 International Conference on Social Computing最新文献_第4页

Secure Execution Context Enforcement Framework Based on Activity Detection on Data and Applications Hosted on Smart Devices 基于智能设备上承载的数据和应用程序活动检测的安全执行上下文强制框架

2013 International Conference on Social Computing Pub Date : 2013-09-08 DOI: 10.1109/SocialCom.2013.95

Yair Diaz-Tellez, E. Bodanese, F. El-Moussa, T. Dimitrakos

引用次数: 2

Fast Information Retrieval and Social Network Mining via Cosine Similarity Upper Bound 基于余弦相似度上界的快速信息检索与社会网络挖掘

2013 International Conference on Social Computing Pub Date : 2013-09-08 DOI: 10.1109/SocialCom.2013.147

Weizhong Zhao, M. VenkataSwamy, Gang Chen, Xiaowei Xu

引用次数: 3

Real-Time Data Streaming Architecture and Intelligent Workflow Management for Processing Massive Ecological Videos 面向海量生态视频处理的实时数据流架构与智能工作流管理

2013 International Conference on Social Computing Pub Date : 2013-09-08 DOI: 10.1109/SocialCom.2013.173

G. Nadarajan, Cheng-Lin Yang, Y. Chen-Burger, Yu-Jung Cheng, S. Lin, Fang-Pang Lin

{"title":"Real-Time Data Streaming Architecture and Intelligent Workflow Management for Processing Massive Ecological Videos","authors":"G. Nadarajan, Cheng-Lin Yang, Y. Chen-Burger, Yu-Jung Cheng, S. Lin, Fang-Pang Lin","doi":"10.1109/SocialCom.2013.173","DOIUrl":"https://doi.org/10.1109/SocialCom.2013.173","url":null,"abstract":"We present data collection and storage utilities and a workflow management system for handling the processing of large volumes of videos collected from an ecological source over several years and still growing. They lie in the heart of an integrated system that brings together expertise from various disciplines, including marine science, image processing, high performance computing and user interface. A real-time data streaming architecture was developed for efficient collection and storage of videos. In the analysis part, a workflow management system with two main components was deployed, i) a workflow engine and ii) a workflow monitor. The workflow engine deals with on-demand user queries and batch queries, selection of suitable computing platform and invocation of optimal software modules, while the workflow monitor handles the seamless execution and intelligent error handling of workflow jobs on a heterogeneous computing platform. We discuss the challenges that lie ahead for the workflow system such as the demand for more sophisticated scheduling and monitoring.","PeriodicalId":129308,"journal":{"name":"2013 International Conference on Social Computing","volume":"253 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122723620","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

Understanding Information Credibility on Twitter 理解Twitter上的信息可信度

2013 International Conference on Social Computing Pub Date : 2013-09-08 DOI: 10.1109/SocialCom.2013.9

Sujoy Sikdar, Byungkyu Kang, J. O'Donovan, Tobias Höllerer, Sibel Adali

{"title":"Understanding Information Credibility on Twitter","authors":"Sujoy Sikdar, Byungkyu Kang, J. O'Donovan, Tobias Höllerer, Sibel Adali","doi":"10.1109/SocialCom.2013.9","DOIUrl":"https://doi.org/10.1109/SocialCom.2013.9","url":null,"abstract":"Increased popularity of microblogs in recent years brings about a need for better mechanisms to extract credible or otherwise useful information from noisy and large data. While there are a great number of studies that introduce methods to find credible data, there is no accepted credibility benchmark. As a result, it is hard to compare different studies and generalize from their findings. In this paper, we argue for a methodology for making such studies more useful to the research community. First, the underlying ground truth values of credibility must be reliable. The specific constructs used to define credibility must be carefully defined. Secondly, the underlying network context must be quantified and documented. To illustrate these two points, we conduct a unique credibility study of two different data sets on the same topic, but with different network characteristics. We also conduct two different user surveys, and construct two additional indicators of credibility based on retweet behavior. Through a detailed statistical study, we first show that survey based methods can be extremely noisy and results may vary greatly from survey to survey. However, by combining such methods with retweet behavior, we can incorporate two signals that are noisy but uncorrelated, resulting in ground truth measures that can be predicted with high accuracy and are stable across different data sets and survey methods. Newsworthiness of tweets can be a useful frame for specific applications, but it is not necessary for achieving reliable credibility ground truth measurements.","PeriodicalId":129308,"journal":{"name":"2013 International Conference on Social Computing","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125377406","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: 51

A Job Interview Simulation: Social Cue-Based Interaction with a Virtual Character 工作面试模拟:与虚拟角色的社会线索互动

2013 International Conference on Social Computing Pub Date : 2013-09-08 DOI: 10.1109/SocialCom.2013.39

Tobias Baur, Ionut Damian, Patrick Gebhard, K. Porayska-Pomsta, E. André

引用次数: 49

Social Welfare and Inequality in a Networked Resource Game with Human Players 人类参与的网络资源博弈中的社会福利与不平等

2013 International Conference on Social Computing Pub Date : 2013-09-08 DOI: 10.1109/SocialCom.2013.153

Bowen Ni, Yu-Han Chang, R. Maheswaran

引用次数: 2

Spatio-temporal Signal Recovery from Political Tweets in Indonesia 印尼政治推文的时空信号恢复

2013 International Conference on Social Computing Pub Date : 2013-09-08 DOI: 10.1109/SocialCom.2013.46

Anisha Mazumder, Arun Das, Nyunsu Kim, Sedat Gokalp, Arunabha Sen, H. Davulcu

{"title":"Spatio-temporal Signal Recovery from Political Tweets in Indonesia","authors":"Anisha Mazumder, Arun Das, Nyunsu Kim, Sedat Gokalp, Arunabha Sen, H. Davulcu","doi":"10.1109/SocialCom.2013.46","DOIUrl":"https://doi.org/10.1109/SocialCom.2013.46","url":null,"abstract":"Online social network community now provides an enormous volume of data for analyzing human sentiment about people, places, events and political activities. It is becoming increasingly clear that analysis of such data can provide great insights on the social, political and cultural aspects of the participants of these networks. As part of the Minerva project, currently underway at Arizona State University, we have analyzed a large volume of Twitter data to understand radical political activity in the provinces of Indonesia. Based on analysis of radical/counter radical sentiments expressed in tweets by Twitter users, we create a Heat Map of Indonesia which visually demonstrates the degree of radical activities in various provinces of Indonesia. We create the Heat Map of Indonesia by computing (i) the Radicalization Index and (ii) the Location Index of each Twitter user from Indonesia, who has expressed some radical sentiment in her tweets. The conclusions derived from our analysis matches significantly with the analysis of Wahid Institute, a leading political think tank of Indonesia, thus validating our results.","PeriodicalId":129308,"journal":{"name":"2013 International Conference on Social Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131283205","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: 5

The Potential of an Individualized Set of Trusted CAs: Defending against CA Failures in the Web PKI 个性化可信CA集的潜力:Web PKI中CA失效的防御

2013 International Conference on Social Computing Pub Date : 2013-09-08 DOI: 10.1109/SocialCom.2013.90

Johannes Braun, Gregor Rynkowski

{"title":"The Potential of an Individualized Set of Trusted CAs: Defending against CA Failures in the Web PKI","authors":"Johannes Braun, Gregor Rynkowski","doi":"10.1109/SocialCom.2013.90","DOIUrl":"https://doi.org/10.1109/SocialCom.2013.90","url":null,"abstract":"The security of most Internet applications relies on underlying public key infrastructures (PKIs) and thus on an ecosystem of certification authorities (CAs). The pool of PKIs responsible for the issuance and the maintenance of SSL certificates, called the Web PKI, has grown extremely large and complex. Herein, each CA is a single point of failure, leading to an attack surface, the size of which is hardly assessable. This paper approaches the issue if and how the attack surface can be reduced in order to minimize the risk of relying on a malicious certificate. In particular, we consider the individualization of the set of trusted CAs. We present a tool called Rootopia, which allows to individually assess the respective part of the Web PKI relevant for a user. Our analysis of browser histories of 22 Internet users reveals, that the major part of the PKI is completely irrelevant to a single user. On a per user level, the attack surface can be reduced by more than 90%, which shows the potential of the individualization of the set of trusted CAs. Furthermore, all the relevant CAs reside within a small set of countries. Our findings confirm that we unnecessarily trust in a huge number of CAs, thus exposing ourselves to unnecessary risks. Subsequently, we present an overview on our approach to realize the possible security gains.","PeriodicalId":129308,"journal":{"name":"2013 International Conference on Social Computing","volume":"331 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134330190","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: 16

A Novel Group Recommendation Algorithm with Collaborative Filtering 一种新的协同过滤群推荐算法

2013 International Conference on Social Computing Pub Date : 2013-09-08 DOI: 10.1109/SocialCom.2013.138

Yang Song, Zheng Hu, Haifeng Liu, Yu Shi, Hui Tian

引用次数: 8

The Privacy Problem in Big Bata Applications: An Empirical Study on Facebook 大数据应用中的隐私问题:基于Facebook的实证研究

2013 International Conference on Social Computing Pub Date : 2013-09-08 DOI: 10.1109/SocialCom.2013.150

Jerzy Surma

{"title":"The Privacy Problem in Big Bata Applications: An Empirical Study on Facebook","authors":"Jerzy Surma","doi":"10.1109/SocialCom.2013.150","DOIUrl":"https://doi.org/10.1109/SocialCom.2013.150","url":null,"abstract":"When using mobile phones, credit cards, electronic mail, browsing social networks etc., contemporary consumers leave behind thousands of digital footprints. Each footprint reflects actual actions that we take in given place and time. The analysis of thousands of such footprints conducted among large groups of people allows us to examine human behaviour on a scale that has never been imagined in scientific studies concerning psychology and sociology. The results of those analyses already have a significant influence on contemporary management, especially when it comes to new business opportunities in companies that employ business models based on the one-to-one relations with their customers. Nevertheless, this outstanding opportunity implies an enormous privacy problem. We will illustrate this issue by an empirical research based on the data gathered from Facebook, where users are using privacy controls that allow displaying their content only to a selected group of people. Users of such controls will likely continue positing more, even as their network grows or becomes sparser. We test these predictions using a dataset from Facebook gathered from a sample of college students and find statistical support for them. Our conclusions are that individuals are relatively prudent and are actually very aware of the social norms.","PeriodicalId":129308,"journal":{"name":"2013 International Conference on Social Computing","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127961096","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: 8