2013 International Conference on Social Computing最新文献_第3页

A Serious Game Based on a Public Goods Experiment 基于公共物品实验的严肃游戏

2013 International Conference on Social Computing Pub Date : 2013-09-08 DOI: 10.1109/SocialCom.2013.116

Márcia Baptista, Hugo Damas, Joana Dimas, Guilherme Raimundo, R. Prada, C. Martinho, P. A. Santos, Jorge F. Peña

{"title":"A Serious Game Based on a Public Goods Experiment","authors":"Márcia Baptista, Hugo Damas, Joana Dimas, Guilherme Raimundo, R. Prada, C. Martinho, P. A. Santos, Jorge F. Peña","doi":"10.1109/SocialCom.2013.116","DOIUrl":"https://doi.org/10.1109/SocialCom.2013.116","url":null,"abstract":"It has been pointed that public goods games lack experimental research in topics such as the study of the interaction of groups versus the interaction of individuals and effects of social identity and decision framing. Furthermore, the number of computational frameworks proposed to date to deploy these type of experiments is reduced. In this context, we propose the INVITE computational framework to serve as a useful research tool. The motivation behind the proposed framework is therefore straightforward: to allow researchers to be able to configure without difficulty public goods experiments where they can test their hypothesis regarding the behaviour of individuals, simulate behaviour of automated artificial intelligence and study the interaction between virtual agents and real persons. The greatest advantage of the INVITE framework is that it provides a high level of flexibility in the configuration of game theoretical paradigms. It is possible to configure simple structures such as the 2-player prisoner's dilemma or stag hunt as well as some of the most complex forms of inter-group conflicts such as team games. Accordingly, this framework allows an effortless parametrization, assisted by a tailored configuration tool, of a myriad of public goods games. Moreover, the 3D video game configured in the framework places the players in an immersive and engaging virtual environment where real-life conditions can be replicated and some circumstances, difficult to reproduce in real-life, such as life-threatening situations, can also be simulated. Given its characteristics, the proposed framework aims to represent an important contribution to the study of behaviour of both virtual and human players in scenarios of social conflict.","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":"130830599","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

Religious Politicians and Creative Photographers: Automatic User Categorization in Twitter 宗教政治家和创意摄影师:Twitter中的自动用户分类

2013 International Conference on Social Computing Pub Date : 2013-09-08 DOI: 10.1109/SocialCom.2013.49

Claudia Wagner, S. Asur, J. Hailpern

{"title":"Religious Politicians and Creative Photographers: Automatic User Categorization in Twitter","authors":"Claudia Wagner, S. Asur, J. Hailpern","doi":"10.1109/SocialCom.2013.49","DOIUrl":"https://doi.org/10.1109/SocialCom.2013.49","url":null,"abstract":"Finding the ''right people'' is a central aspect of social media systems. Twitter has millions of users who have varied interests, professions and personalities. For those in fields such as advertising and marketing, it is important to identify certain characteristics of users to target. However, Twitter users do not generally provide sufficient information about themselves on their profile which makes this task difficult. In response, this work sets out to automatically infer professions (e.g., musicians, health sector workers, technicians) and personality related attributes (e.g., creative, innovative, funny) for Twitter users based on features extracted from their content, their interaction networks, attributes of their friends and their activity patterns. We develop a comprehensive set of latent features that are then employed to perform efficient classification of users along these two dimensions (profession and personality). Our experiments on a large sample of Twitter users demonstrate both a high overall accuracy in detecting profession and personality related attributes as well as highlighting the benefits and pitfalls of various types of features for particular categories of users.","PeriodicalId":129308,"journal":{"name":"2013 International Conference on Social Computing","volume":"6 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":"126916608","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: 23

Bot Detection Based on Social Interactions in MMORPGs 基于mmorpg社交互动的Bot检测

2013 International Conference on Social Computing Pub Date : 2013-09-08 DOI: 10.1109/SocialCom.2013.81

Jehwan Oh, Z. Borbora, Dhruv Sharma, J. Srivastava

{"title":"Bot Detection Based on Social Interactions in MMORPGs","authors":"Jehwan Oh, Z. Borbora, Dhruv Sharma, J. Srivastava","doi":"10.1109/SocialCom.2013.81","DOIUrl":"https://doi.org/10.1109/SocialCom.2013.81","url":null,"abstract":"The objective of this work is to detect the use of automated programs, known as game bots, based on social interactions in MMORPGs. Online games, especially MMORPGs, have become extremely popular among internet users in the recent years. Not only the popularity but also security threats such as the use of game bots and identity theft have grown manifold. As bot players can obtain unjustified assets without corresponding efforts, the gaming community does not allow players to use game bots. However, the task of identifying game bots is not an easy one because of the velocity and variety of their evolution in mimicking human behavior. Existing methods for detecting game bots have a few drawbacks like reducing immersion of players, low detection accuracy rate, and collision with other security programs. We propose a novel method for detecting game bots based on the fact that humans and game bots tend to form their social network in contrasting ways. In this work we focus particularly on the in game mentoring network from amongst several social networks. We construct a couple of new features based on eigenvector centrality to capture this intuition and establish their importance for detecting game bots. The results show a significant increase in the classification accuracy of various classifiers with the introduction of these features.","PeriodicalId":129308,"journal":{"name":"2013 International Conference on Social Computing","volume":"7 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":"126392523","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

Predicting Spending Behavior Using Socio-mobile Features 利用社交手机功能预测消费行为

2013 International Conference on Social Computing Pub Date : 2013-09-08 DOI: 10.1109/SocialCom.2013.33

V. Singh, Laura Freeman, B. Lepri, A. Pentland

引用次数: 56

Parallel Overlapping Community Detection with SLPA 基于SLPA的平行重叠社区检测

2013 International Conference on Social Computing Pub Date : 2013-09-08 DOI: 10.1109/SOCIALCOM.2013.37

Konstantin Kuzmin, S. Y. Shah, B. Szymanski

引用次数: 37

The Impact of Anonymity in Online Communities 匿名在网络社区中的影响

2013 International Conference on Social Computing Pub Date : 2013-09-08 DOI: 10.1109/SocialCom.2013.80

Eli Omernick, S. Sood

{"title":"The Impact of Anonymity in Online Communities","authors":"Eli Omernick, S. Sood","doi":"10.1109/SocialCom.2013.80","DOIUrl":"https://doi.org/10.1109/SocialCom.2013.80","url":null,"abstract":"The scale of participation on social news sites has challenged community managers, leaving them unable to detect and remove all inappropriate content by hand. Automated insult and profanity detection systems have helped, but have failed to address the problem of why this content is contributed in the first place. That is, what implications do interface design choices have on the content being generated? One such design choice is whether or not a site allows anonymous comments. What impact does allowing anonymity have on the quality or quantity of participation on a site? This case study analyses the impact of anonymity on a technology social news site, TechCrunch.com. TechCrunch is ideal for this study in that it underwent a shift from allowing anonymous comments (using the Disqus commenting platform) to disallowing them (using the Facebook commenting platform) in March of 2011. We compare the quality of anonymous and real identity comments through measures of reading level, relevance to the target article, negativity and presence of swear words and anger words. We couple this qualitative analysis with a quantitative analysis of the change in participation to give a complete picture of the impact of anonymity in this online community, with the end goal of informing design on similar social news sites.","PeriodicalId":129308,"journal":{"name":"2013 International Conference on Social Computing","volume":"PC-28 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":"126678201","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: 54

SMAC: Subgraph Matching and Centrality in Huge Social Networks 大型社交网络中的子图匹配和中心性

2013 International Conference on Social Computing Pub Date : 2013-09-08 DOI: 10.1109/SocialCom.2013.27

Noseong Park, Michael Ovelgönne, V. S. Subrahmanian

引用次数: 1

Conceptual Quantification of the Dynamicity of Longitudinal Social Networks 纵向社会网络动态的概念量化

2013 International Conference on Social Computing Pub Date : 2013-09-08 DOI: 10.1109/SocialCom.2013.131

M. S. Uddin, Piraveenan Mahendra, Arif Khan, Babak Amiri

{"title":"Conceptual Quantification of the Dynamicity of Longitudinal Social Networks","authors":"M. S. Uddin, Piraveenan Mahendra, Arif Khan, Babak Amiri","doi":"10.1109/SocialCom.2013.131","DOIUrl":"https://doi.org/10.1109/SocialCom.2013.131","url":null,"abstract":"A longitudinal social network evolves over time through the creation and/or deletion of links among a set of actors (e.g. individuals or organisations). Longitudinal social networks are studied by network science and social science researchers to understand network evolution, trend propagation, friendship and belief formation, diffusion of innovations, the spread of deviant behaviour and more. In the current literature, there are different approaches and methods (e.g. Sampson's approach and the Markov model) to study the dynamics of longitudinal social networks. These approaches and methods have mainly been utilised to explore evolutionary changes of longitudinal social networks from one state to another and to explain the underlying reasons for these changes. However, they cannot quantify the level of dynamicity of the over time network changes and the contribution of individual network members (i.e. actors) to these changes. In this study, we first develop a set of measures to quantify different aspects of the dynamicity of a longitudinal social network. We then apply these measures, in order to conduct empirical investigations, to two different longitudinal social networks. Finally, we discuss the implications of the application of these measures and possible future research directions of this study.","PeriodicalId":129308,"journal":{"name":"2013 International Conference on Social Computing","volume":"28 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":"125262680","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

imGraph: A Distributed In-Memory Graph Database imGraph:一个分布式内存图数据库

2013 International Conference on Social Computing Pub Date : 2013-09-08 DOI: 10.1109/SocialCom.2013.109

Salim Jouili, Aldemar Reynaga

引用次数: 6

Event Driven Monitoring of Composite Services 组合服务的事件驱动监视

2013 International Conference on Social Computing Pub Date : 2013-09-08 DOI: 10.1109/SocialCom.2013.83

M. Asim, D. Llewellyn-Jones, Brett Lempereur, Bo Zhou, Q. Shi, M. Merabti

引用次数: 8