2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing最新文献_第5页

Ignorance Isn't Bliss: An Empirical Analysis of Attention Patterns in Online Communities 无知不是福:在线社区注意力模式的实证分析

2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing Pub Date : 2012-09-03 DOI: 10.1109/SocialCom-PASSAT.2012.33

Claudia Wagner, Matthew Rowe, M. Strohmaier, Harith Alani

{"title":"Ignorance Isn't Bliss: An Empirical Analysis of Attention Patterns in Online Communities","authors":"Claudia Wagner, Matthew Rowe, M. Strohmaier, Harith Alani","doi":"10.1109/SocialCom-PASSAT.2012.33","DOIUrl":"https://doi.org/10.1109/SocialCom-PASSAT.2012.33","url":null,"abstract":"Online community managers work towards building and managing communities around a given brand or topic. Arisk imposed on such managers is that their community may die out and its utility diminish to users. Understanding what drives attention to content and the dynamics of discussions in a given community informs the community manager and/or host with the factors that are associated with attention, allowing them to detect a reduction in such factors. In this paper we gain insights into the idiosyncrasies that individual community forums exhibit in their attention patterns and how the factors that impact activity differ. We glean such insights through a two-stage approach that functions by (i) differentiating between seed posts - i.e. posts that solicit a reply - and non-seed posts - i.e. posts that did not get any replies, and (ii) predicting the level of attention that seed posts will generate. We explore the effectiveness of a range of features for predicting discussions and analyse their potential impact on discussion initiation and progress. Our findings show that the discussion behaviour of different communities exhibit interesting differences in terms of how attention is generated. Our results show amongst others that the purpose of a community as well as the specificity of the topic of a community impact which factors drive the reply behaviour of a community. For example, communities around very specific topics require posts to fit to the topical focus of the community in order to attract attention while communities around more general topics do not have this requirement. We also found that the factors which impact the start of discussions in communities often differ from the factors which impact the length of discussions.","PeriodicalId":129526,"journal":{"name":"2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130177068","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: 10

It's Not in Their Tweets: Modeling Topical Expertise of Twitter Users 它不在他们的推文中:推特用户的主题专业知识建模

2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing Pub Date : 2012-09-03 DOI: 10.1109/SocialCom-PASSAT.2012.30

Claudia Wagner, Q. Liao, P. Pirolli, Les Nelson, M. Strohmaier

{"title":"It's Not in Their Tweets: Modeling Topical Expertise of Twitter Users","authors":"Claudia Wagner, Q. Liao, P. Pirolli, Les Nelson, M. Strohmaier","doi":"10.1109/SocialCom-PASSAT.2012.30","DOIUrl":"https://doi.org/10.1109/SocialCom-PASSAT.2012.30","url":null,"abstract":"One of the key challenges for users of social media is judging the topical expertise of other users in order to select trustful information sources about specific topics and to judge credibility of content produced by others. In this paper, we explore the usefulness of different types of user-related data for making sense about the topical expertise of Twitter users. Types of user-related data include messages a user authored or re-published, biographical information a user published on his/her profile page and information about user lists to which a user belongs. We conducted a user study that explores how useful different types of data are for informing human's expertise judgements. We then used topic modeling based on different types of data to build and assess computational expertise models of Twitter users. We use We follow directories as a proxy measurement for perceived expertise in this assessment. Our findings show that different types of user-related data indeed differ substantially in their ability to inform computational expertise models and humans's expertise judgements. Tweets and retweets - which are often used in literature for gauging the expertise area of users - are surprisingly useless for inferring the expertise topics of their authors and are outperformed by other types of user-related data such as information about users' list memberships. Our results have implications for algorithms, user interfaces and methods that focus on capturing expertise of social media users.","PeriodicalId":129526,"journal":{"name":"2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132150022","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: 76

Towards a Computational Formalism for a Grounding Model of Cultural Transmission 面向文化传播基础模型的计算形式主义

2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing Pub Date : 2012-09-03 DOI: 10.1109/SocialCom-PASSAT.2012.81

J. Pfau, L. Sonenberg, Y. Kashima

引用次数: 3

Correlating Risk Findings to Quantify Risk 关联风险发现以量化风险

2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing Pub Date : 2012-09-03 DOI: 10.1109/SocialCom-PASSAT.2012.95

Aaron D. Sanders, Tong Sun, Yin Pan, Bo Yuan

{"title":"Correlating Risk Findings to Quantify Risk","authors":"Aaron D. Sanders, Tong Sun, Yin Pan, Bo Yuan","doi":"10.1109/SocialCom-PASSAT.2012.95","DOIUrl":"https://doi.org/10.1109/SocialCom-PASSAT.2012.95","url":null,"abstract":"Research in quantitative Information Technology (IT) risk analysis has increased in the past decade, but much of that research has focused on creating new approaches that replace existing ones. Since organizations have extensive sunk costs invested in their risk management programs, there exists a need to extend and improve existing approaches. Additionally, many quantitative approaches are difficult to implement without mathematical expertise or specialized tools, focus on quantifying individual vulnerabilities, provide little insight into underlying process gaps affecting IT risk and do not facilitate including environmental factors in risk ratings. Our research focuses on identifying attributes or characteristics of risk that are missing from existing approaches, and quantifying their relevance using statistical analysis techniques. We seek to identify and quantify attributes that further close the gap between enumerating IT risks and understanding the actual risk they present. In this paper we identify the relationship between risk findings as a key attribute, and demonstrate using correlation to quantify the relationship. Correlation analysis enables organizations to uncover process gaps, and situations where default risk ratings may not be sufficient. In this paper, we discuss the benefits of correlating risk findings and demonstrate value and feasibility through an empirical case study.","PeriodicalId":129526,"journal":{"name":"2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116161099","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

Diffusion-Aware Sampling and Estimation in Information Diffusion Networks 信息扩散网络中的扩散感知采样与估计

2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing Pub Date : 2012-09-03 DOI: 10.1109/SocialCom-PASSAT.2012.98

Motahareh Eslami Mehdiabadi, H. Rabiee, Mostafa Salehi

{"title":"Diffusion-Aware Sampling and Estimation in Information Diffusion Networks","authors":"Motahareh Eslami Mehdiabadi, H. Rabiee, Mostafa Salehi","doi":"10.1109/SocialCom-PASSAT.2012.98","DOIUrl":"https://doi.org/10.1109/SocialCom-PASSAT.2012.98","url":null,"abstract":"Partially-observed data collected by sampling methods is often being studied to obtain the characteristics of information diffusion networks. However, these methods usually do not consider the behavior of diffusion process. In this paper, we propose a novel two-step (sampling/estimation) measurement framework by utilizing the diffusion process characteristics. To this end, we propose a link-tracing based sampling design which uses the infection times as local information without any knowledge about the latent structure of diffusion network. To correct the bias of sampled data, we introduce three estimators for different categories, link-based, node-based, and cascade-based. To the best of our knowledge, this is the first attempt to introduce a complete measurement framework for diffusion networks. We also show that the estimator plays an important role in correcting the bias of sampling from diffusion networks. Our comprehensive empirical analysis over large synthetic and real datasets demonstrates that in average, the proposed framework outperforms the common BFS and RW sampling methods in terms of link-based characteristics by about 37% and 35%, respectively.","PeriodicalId":129526,"journal":{"name":"2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128989035","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: 6

TrustFraMM: Meta Description for Trust Frameworks 信任框架的元描述

2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing Pub Date : 2012-09-03 DOI: 10.1109/SocialCom-PASSAT.2012.63

Mark Vinkovits, Andreas Zimmermann

引用次数: 5

The Governance of Corporate Forensics Using COBIT, NIST and Increased Automated Forensic Approaches 使用COBIT、NIST和增加的自动化取证方法的企业取证治理

2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing Pub Date : 2012-09-03 DOI: 10.1109/SocialCom-PASSAT.2012.109

Henry Nnoli, Dale Lindskog, P. Zavarsky, S. Aghili, Ron Ruhl

{"title":"The Governance of Corporate Forensics Using COBIT, NIST and Increased Automated Forensic Approaches","authors":"Henry Nnoli, Dale Lindskog, P. Zavarsky, S. Aghili, Ron Ruhl","doi":"10.1109/SocialCom-PASSAT.2012.109","DOIUrl":"https://doi.org/10.1109/SocialCom-PASSAT.2012.109","url":null,"abstract":"Today, the ability to investigate internal matters such as policy violations, regulatory compliance, and employee separation has become important in order for corporations to manage risk. The degree of information security threats evolving on a daily basis has increasingly raised concerns for enterprise organizations. These threats include but are not limited to fraud, insider threat and intellectual property (IP) theft. These have increased the demand for organizations to implement corporate forensics as a deterrent to illegitimate acts or for linking perpetrators to their illegitimate acts. This explains why forensic practices are expanding from the traditional role in law enforcement and becoming an essential part of business processes. However, most organizations may not be maximizing the benefits of corporate forensic capabilities because of lack of corporate forensic governance best practices, needed to ensure organizations prepare their operating environment for digital forensic investigation. Corporate forensic governance will help ensure that digital evidence is obtained in an efficient and effective way with minimal interruption to the business. This paper presents a corporate forensic governance framework intended to enhance forensic readiness, governance, and management, and increase the use of automated forensic techniques and in-house forensically sound practices in large organizations that have a need for these practices.","PeriodicalId":129526,"journal":{"name":"2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing","volume":"518 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123113691","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

What Makes Communities Tick? Community Health Analysis Using Role Compositions 是什么让社区运转?基于角色组合的社区健康分析

2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing Pub Date : 2012-09-03 DOI: 10.1109/SocialCom-PASSAT.2012.18

Matthew Rowe, Harith Alani

引用次数: 12

Edit Conflict Resolution in WikiBOK: A Wiki-Based BOK Formulation-Aid System for New Disciplines 在WikiBOK中编辑冲突解决:一个基于WikiBOK的新学科提法辅助系统

2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing Pub Date : 2012-09-03 DOI: 10.1109/SOCIALCOM-PASSAT.2012.24

Y. Masunaga, Kazunari Ito, Taro Yabuki, Takeshi Morita

{"title":"Edit Conflict Resolution in WikiBOK: A Wiki-Based BOK Formulation-Aid System for New Disciplines","authors":"Y. Masunaga, Kazunari Ito, Taro Yabuki, Takeshi Morita","doi":"10.1109/SOCIALCOM-PASSAT.2012.24","DOIUrl":"https://doi.org/10.1109/SOCIALCOM-PASSAT.2012.24","url":null,"abstract":"A body of knowledge (BOK) of an academic field is an indispensable aid not only to people's understanding of the entirety of a targeted academic field, but also to designing a perfect curriculum of that field for educational purposes. However, in contrast to a BOK for a mature discipline such as computer science, the formulation of a BOK for a new discipline, such as social informatics, life science, and sustainability science, is difficult because academics in such a new discipline cannot present it in its entirety par advance. Therefore, a bottom-up and open collaborative approach based on collective intelligence seems promising, and contrasts strongly with the traditional style in which a BOK is formulated: by the authorities in the field in a top-down manner. WikiBOK is a wiki-based body of knowledge (BOK) formulation-aid system for new disciplines. It is developed based on BOK+, which is a novel BOK formulation principle for new disciplines that enables us to construct a BOK in a bottom-up manner. As its name indicates, WikiBOK uses Semantic Media Wiki (SMW) to facilitate its fundamental functions. A rich graphical user interface is provided using open source graph visualization software. The main objective of this paper is to illustrate how edit conflicts are resolved in WikiBOK. Needless to say, edit conflicts are unavoidable when WikiBOKers collaborate to formulate a BOK-tree. A WikiBOK edit conflict resolution principle is shown, and the WikiBOK Edit Conflict Resolver is implemented based on this principle. Social Informatics BOK (SIBOK) is under construction using WikiBOK.","PeriodicalId":129526,"journal":{"name":"2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131243426","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

Epidemic Trust-Based Recommender Systems 流行基于信任的推荐系统

2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing Pub Date : 2012-09-03 DOI: 10.1109/SocialCom-PASSAT.2012.94

Stefan Magureanu, Nima Dokoohaki, Shahab Mokarizadeh, M. Matskin

{"title":"Epidemic Trust-Based Recommender Systems","authors":"Stefan Magureanu, Nima Dokoohaki, Shahab Mokarizadeh, M. Matskin","doi":"10.1109/SocialCom-PASSAT.2012.94","DOIUrl":"https://doi.org/10.1109/SocialCom-PASSAT.2012.94","url":null,"abstract":"Collaborative filtering(CF) recommender systems are among the most popular approaches to solving the information overload problem in social networks by generating accurate predictions based on the ratings of similar users. Traditional CF recommenders suffer from lack of scalability while decentralized CF recommenders (DHT-based, Gossip-based etc.) have promised to alleviate this problem. Thus, in this paper we propose a decentralized approach to CF recommender systems that uses the T-Man algorithm to create and maintain an overlay network that in turn would facilitate the generation of recommendations based on local information of a node. We analyse the influence of the number of rounds and neighbors on the accuracy of prediction and item coverage and we propose a new approach to inferring trust values between a user and its neighbors. Our experiment son two datasets show an improvement of prediction accuracy relative to previous approaches while using a highly scalable, decentralized paradigm. We also analyse item coverage and show that our system is able to generate predictions for significant fraction of the users, which is comparable with the centralized approaches.","PeriodicalId":129526,"journal":{"name":"2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing","volume":"62 25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125371827","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: 7