2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing最新文献_第9页

Maintaining a Consistent Representation of Self across Multiple Social Networking Sites -- A Data-centric Perspective 在多个社交网站中保持自我的一致表现——以数据为中心的视角

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.2012.15

Moritz Riesner, G. Pernul

引用次数: 4

Quantifying Behavioral Mimicry by Automatic Detection of Nonverbal Cues from Body Motion 通过自动检测身体动作的非语言线索来量化行为模仿

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.2012.48

S. Feese, B. Arnrich, G. Tröster, Bertolt Meyer, K. Jonas

{"title":"Quantifying Behavioral Mimicry by Automatic Detection of Nonverbal Cues from Body Motion","authors":"S. Feese, B. Arnrich, G. Tröster, Bertolt Meyer, K. Jonas","doi":"10.1109/SocialCom-PASSAT.2012.48","DOIUrl":"https://doi.org/10.1109/SocialCom-PASSAT.2012.48","url":null,"abstract":"Effective leadership can increase team performance, however the underlying micro-level behaviors that support team performance are still unclear. At the same time, traditional behavioral observation methods rely on manual video annotation which is a time consuming and costly process. In this work, we employ wearable motion sensors to automatically extract nonverbal cues from body motion. We utilize activity recognition methods to detect relevant nonverbal cues such as head nodding, gesticulating and posture changes. Further, we combine the detected individual cues to quantify behavioral mimicry between interaction partners. We evaluate our methods on data that was acquired during a psychological experiment in which 55 groups of three persons worked on a decision-making task. Group leaders were instructed to either lead with individual consideration orin an authoritarian way. We demonstrate that nonverbal cues can be detected with a F1-measure between 56% and 100%. Moreover, we show how our methods can highlight nonverbal behavioral differences of the two leadership styles. Our findings suggest that individually considerate leaders mimic head nods of their followers twice as often and that their face touches are mimicked three times as often by their followers when compared with authoritarian leaders.","PeriodicalId":129526,"journal":{"name":"2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing","volume":"123 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":"117243197","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: 35

Vegas -- A Secure and Privacy-Preserving Peer-to-Peer Online Social Network 拉斯维加斯——一个安全和隐私保护的点对点在线社交网络

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.2012.42

M. Dürr, Marco Maier, Florian Dorfmeister

{"title":"Vegas -- A Secure and Privacy-Preserving Peer-to-Peer Online Social Network","authors":"M. Dürr, Marco Maier, Florian Dorfmeister","doi":"10.1109/SocialCom-PASSAT.2012.42","DOIUrl":"https://doi.org/10.1109/SocialCom-PASSAT.2012.42","url":null,"abstract":"Although Social Network Service (SNS) providers like Facebook and Google attempt to mitigate security and privacy-related concerns of their users, abuses and misuses of personal data still make the headlines. As centralized storage of personal data is a decisive factor for unintended information disclosure, several architectures for decentralized Online Social Networks (OSNs) have been proposed. System designs range from solutions based on a decentralized client server architecture like Diaspora to P2P systems like PeerSoN. Despite all efforts to accomplish strong decentralization, most proposals cannot achieve sufficient informational self-determination, i.e., users do not have full control over storage and dissemination of their personal data and published content. In this paper we follow a contrary approach and present Vegas, a secure and privacy-preserving P2P OSN which restricts the possibility to browse the social graph to the ego network. We show how Vegas achieves a maximum degree of security and privacy through encryption and decentralization. We present our mobile Vegas prototype and its context-dependent communication channel decision model. Finally we show how Vegas can be extended to support services like social-search and directory services in a secure and privacy-preserving way.","PeriodicalId":129526,"journal":{"name":"2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing","volume":"128 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":"124221491","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: 29

Assessing User Bias in Affect Detection within Context-Based Spoken Dialog Systems 在基于上下文的口语对话系统中评估影响检测中的用户偏见

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.2012.112

S. Lutfi, F. Martínez, Andrés Casanova-García, Lorena Lopez-Lebon, J. Montero-Martínez

引用次数: 0

Towards Social Networking: A Proof-of-Concept Model 走向社会网络:一个概念验证模型

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.2012.82

Yasuhiro Sato, Hirona Shimokawa, S. Ata, I. Oka

{"title":"Towards Social Networking: A Proof-of-Concept Model","authors":"Yasuhiro Sato, Hirona Shimokawa, S. Ata, I. Oka","doi":"10.1109/SocialCom-PASSAT.2012.82","DOIUrl":"https://doi.org/10.1109/SocialCom-PASSAT.2012.82","url":null,"abstract":"The structure of the current Internet does not fully reflect the structure of human relationships in the real world. Human relationships are structured as various community networks, however IP-based network is essentially not structured in terms of information retrieval and sharing. In the communication style on the current network, end node can obtain information and contents from the whole of the network. In social-centric networking, information is likely to be diffused and shared within community network that is related to the topic of the information, members of community network can obtain information related to the community more efficiently and rapidly. We believe that a social-centric networking paradigm would be a fundamental principle of communications in the future. In this paper, we propose a social-centric network architecture that leverages multiple network structures. One of our objectives is elimination of inefficiency on information diffusion due to gaps between the current network structure and the real world human relationships and community structure. We also propose a proof-of-concept model to evaluate efficiency of information diffusion in consideration of workload of node. We then show the improvement of load-balancing and efficiency of information retrieval through the results of mathematical analysis and simulation.","PeriodicalId":129526,"journal":{"name":"2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing","volume":"16 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":"125659548","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: 1

Predicting Communication Intention in Social Networks 预测社交网络中的交际意图

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.2012.44

C. Chelmis, V. Prasanna

{"title":"Predicting Communication Intention in Social Networks","authors":"C. Chelmis, V. Prasanna","doi":"10.1109/SocialCom-PASSAT.2012.44","DOIUrl":"https://doi.org/10.1109/SocialCom-PASSAT.2012.44","url":null,"abstract":"In social networks, where users send messages to each other, the issue of what triggers communication between unrelated users arises: does communication between previously unrelated users depend on friend-of-a-friend type of relationships, common interests, or other factors? In this work, we study the problem of predicting directed communication intention between two users. Link prediction is similar to communication intention in that it uses network structure for prediction. However, these two problems exhibit fundamental differences that originate from their focus. Link prediction uses evidence to predict network structure evolution, whereas our focal point is directed communication initiation between users who are previously not structurally connected. To address this problem, we employ topological evidence in conjunction to transactional information in order to predict communication intention. It is not intuitive whether methods that work well for link prediction would work well in this case. In fact, we show in this work that network or content evidence, when considered separately, are not sufficiently accurate predictors. Our novel approach, which jointly considers local structural properties of users in a social network, in conjunction with their generated content, captures numerous interactions, direct and indirect, social and contextual, which have up to date been considered independently. We performed an empirical study to evaluate our method using an extracted network of directed @-messages sent between users of a corporate micro logging service, which resembles Twitter. We find that our method outperforms state of the art techniques for link prediction. Our findings have implications for a wide range of social web applications, such as contextual expert recommendation for Q&A, new friendship relationships creation, and targeted content delivery.","PeriodicalId":129526,"journal":{"name":"2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing","volume":"50 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":"133018509","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: 12

Unsupervised Construction of Topic-Based Twitter Lists 基于主题的Twitter列表的无监督构建

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.2012.64

F. D. Villiers, M. Hoffmann, Steve Kroon

{"title":"Unsupervised Construction of Topic-Based Twitter Lists","authors":"F. D. Villiers, M. Hoffmann, Steve Kroon","doi":"10.1109/SocialCom-PASSAT.2012.64","DOIUrl":"https://doi.org/10.1109/SocialCom-PASSAT.2012.64","url":null,"abstract":"The Twitter lists feature was launched in late 2009 and enables the creation of curated groups containing Twitter users. Each user can be a list author and decide the basis on which other users are added to a list. The most popular lists are those that associate with a topic. Twitter lists can be used as a powerful organisation tool, but its widespread adoption has been limited. The two main obstacles are the initial setup time and the effort of continual curation. In this paper we attempt to solve the first problem by applying unsupervised clustering algorithms to construct topic-based Twitter lists. We consider k-means and affinity propagation (AP) as clustering algorithms and evaluate these algorithms using two document representation techniques. The selected representation techniques are the popular term frequency-inverse document frequency (TF-IDF) and the latent Dirichlet allocation (LDA) topic model. We calculate the similarities for the clustering algorithms using five well-known similarity measures that have been used extensively in the text domain. The adjusted normalised information distance (ANID) was used to compare the clustering result yielded by k-means and affinity propagation. We found that the careful selection of a similarity measure, combined with the LDA topic model can provide a user with a sensible starting point for list creation.","PeriodicalId":129526,"journal":{"name":"2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing","volume":"44 4 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":"133889029","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: 3

Towards a Modeling and Analysis Framework for Privacy-Aware Systems 面向隐私感知系统的建模与分析框架

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.2012.12

Pietro Colombo, E. Ferrari

引用次数: 29

Peer Influence and Homophily in the Diffusion of the iPhone 3G in a Very Large Social Network iPhone 3G在超大社交网络中传播的同伴影响和同质性

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.2012.32

M. Matos, Pedro A. Ferreira, D. Krackhardt

{"title":"Peer Influence and Homophily in the Diffusion of the iPhone 3G in a Very Large Social Network","authors":"M. Matos, Pedro A. Ferreira, D. Krackhardt","doi":"10.1109/SocialCom-PASSAT.2012.32","DOIUrl":"https://doi.org/10.1109/SocialCom-PASSAT.2012.32","url":null,"abstract":"This paper studies the effects of peer influence and homophily on the diffusion of the iPhone 3G across a number of communities sampled from a large dataset from a major European Mobile carrier in one country. We use Stochastic Actor Based Models to capture the co-evolution of the social network as well as the dynamics of adoption. This helps to separate the roles of homophily and peer influence in the process of diffusion. We provide evidence that the propensity of a subscriber to adopt, when she is called upon to make a decision about whether she should adopt, increases with the number of friends that have already adopted. A one standard deviation increase above the mean in the number of friends that had already adopted increases the likelihood odds of adoption relative to no adoption by a factor of 2.8. The effect of peer influence is robust across a number of different specifications. The results for the effect of homophily are less clear. While, on average, we find a positive significant effect of adoption on tie formation, in many communities this effect is significant and negative and in others there is no effect at all.","PeriodicalId":129526,"journal":{"name":"2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing","volume":"77 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":"117220642","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

Understanding How Dominance Affects the Emergence of Agreement in a Social Network: The Case of Naming Game 理解支配如何影响社会网络中协议的出现:以命名游戏为例

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.2012.61

S. Maity, Animesh Mukherjee

引用次数: 3