Luiz Arthur F. Santos, Rodrigo Campiolo, M. Gerosa, D. Batista
The fast spread of computer security alerts, like vulnerabilities notifications, applications updates and threats of attacks, is essential to efficient reactive measures against security incidents. This paper presents an empirical study that evaluates the efficiency of using twitter posts, related to computer security, as notifications of security alerts. The justification to this study is the fact that posts from microblogs have a very fast spread over the Internet. By using similarity analysis and clustering between twitter posts and alerts from specialized sites, it was verified that microblogs spread computer security alerts in a reliable way, reach a high level of dissemination and inform about security threats before some specialized sites.
{"title":"Analysis of Security Messages Posted on Twitter","authors":"Luiz Arthur F. Santos, Rodrigo Campiolo, M. Gerosa, D. Batista","doi":"10.1109/SBSC.2012.10","DOIUrl":"https://doi.org/10.1109/SBSC.2012.10","url":null,"abstract":"The fast spread of computer security alerts, like vulnerabilities notifications, applications updates and threats of attacks, is essential to efficient reactive measures against security incidents. This paper presents an empirical study that evaluates the efficiency of using twitter posts, related to computer security, as notifications of security alerts. The justification to this study is the fact that posts from microblogs have a very fast spread over the Internet. By using similarity analysis and clustering between twitter posts and alerts from specialized sites, it was verified that microblogs spread computer security alerts in a reliable way, reach a high level of dissemination and inform about security threats before some specialized sites.","PeriodicalId":257965,"journal":{"name":"2012 Brazilian Symposium on Collaborative Systems","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114699671","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}
A "political discussion" is characterized by the occurrence of conflicting interests concerning the decision to be made. Participants in these discussions need to take a position in the discussion, to strengthen a specific opinion and to influence other participants in order to support their own view for a decision. Decision makers, on their turn, need to identify what is popular, consensual or controversial. To achieve these objectives, it is desired to quickly identify a set of relevant information that helps to follow political discussions. In this research, methods were developed to extract information considered relevant for this objective: who are the most influent participants, which are the allies and objector groups, and which messages or issues are most popular, consensual and controversial. Visualizations were also developed to help the user to identify this information.
{"title":"Information Visualization in Political Discussions","authors":"R. Tavares, M. Pimentel, R. Araujo","doi":"10.1109/SBSC.2012.19","DOIUrl":"https://doi.org/10.1109/SBSC.2012.19","url":null,"abstract":"A \"political discussion\" is characterized by the occurrence of conflicting interests concerning the decision to be made. Participants in these discussions need to take a position in the discussion, to strengthen a specific opinion and to influence other participants in order to support their own view for a decision. Decision makers, on their turn, need to identify what is popular, consensual or controversial. To achieve these objectives, it is desired to quickly identify a set of relevant information that helps to follow political discussions. In this research, methods were developed to extract information considered relevant for this objective: who are the most influent participants, which are the allies and objector groups, and which messages or issues are most popular, consensual and controversial. Visualizations were also developed to help the user to identify this information.","PeriodicalId":257965,"journal":{"name":"2012 Brazilian Symposium on Collaborative Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130063910","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}
R. Paula, A. P. Appel, Claudio S. Pinhanez, Victor F. Cavalcante, Carolina S. Andrade
This paper contributes to the emerging field of social-analytics in computer-supported cooperative work by introducing a novel methodology for investigating the "work-networks" that emerge from everyday interactions among workers, artifacts, and organizational structures. Particularly, it presents and discusses an early implementation of this methodology in the context of a large, global IT service delivery organization. It analyzes the pattern of work interactions that emerge from the mining of common use of internal social media systems, log data of service delivery management systems, and organizational structures. Such analyses enabled us to unearth potential deficiencies in the ways in which the organization make use of collaborative systems, share and spread knowledge among its workers.
{"title":"Using Social Analytics for Studying Work-Networks: A Novel, Initial Approach","authors":"R. Paula, A. P. Appel, Claudio S. Pinhanez, Victor F. Cavalcante, Carolina S. Andrade","doi":"10.1109/SBSC.2012.35","DOIUrl":"https://doi.org/10.1109/SBSC.2012.35","url":null,"abstract":"This paper contributes to the emerging field of social-analytics in computer-supported cooperative work by introducing a novel methodology for investigating the \"work-networks\" that emerge from everyday interactions among workers, artifacts, and organizational structures. Particularly, it presents and discusses an early implementation of this methodology in the context of a large, global IT service delivery organization. It analyzes the pattern of work interactions that emerge from the mining of common use of internal social media systems, log data of service delivery management systems, and organizational structures. Such analyses enabled us to unearth potential deficiencies in the ways in which the organization make use of collaborative systems, share and spread knowledge among its workers.","PeriodicalId":257965,"journal":{"name":"2012 Brazilian Symposium on Collaborative Systems","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130959685","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}
The basic algorithmic structures are fundamental to systems development and understanding them is an essential step towards the learning process. In order to become a good developer the student needs to refine his learning outcomes to foresee beyond syntax and semantics of a programming language. However, we found that many students face difficulties in that learning process. Thus, it is important to adopt strategies that best fits this situation in order to provide the necessary conditions to achieve success. For that purpose a tool provided with resources for the teachers to plan group problem solving exercises would help students keeping themselves engaged on the programming activities. In this regard we are developing scenarios using virtual worlds. Such environments have been used on many educational contexts, and we believe that if we include Polya's problem solving method as a means for start solving the collaborative tasks described within the scenarios students will propose strategies for solving the tasks, formalize them later on as algorithms. Those activities will promote integration between teacher and students at the same time as students practice their algorithm building skills.
{"title":"An Approach to Support Algorithms Learning Using Virtual Worlds","authors":"Nilmara Salgado, T. Castro","doi":"10.1109/SBSC.2012.31","DOIUrl":"https://doi.org/10.1109/SBSC.2012.31","url":null,"abstract":"The basic algorithmic structures are fundamental to systems development and understanding them is an essential step towards the learning process. In order to become a good developer the student needs to refine his learning outcomes to foresee beyond syntax and semantics of a programming language. However, we found that many students face difficulties in that learning process. Thus, it is important to adopt strategies that best fits this situation in order to provide the necessary conditions to achieve success. For that purpose a tool provided with resources for the teachers to plan group problem solving exercises would help students keeping themselves engaged on the programming activities. In this regard we are developing scenarios using virtual worlds. Such environments have been used on many educational contexts, and we believe that if we include Polya's problem solving method as a means for start solving the collaborative tasks described within the scenarios students will propose strategies for solving the tasks, formalize them later on as algorithms. Those activities will promote integration between teacher and students at the same time as students practice their algorithm building skills.","PeriodicalId":257965,"journal":{"name":"2012 Brazilian Symposium on Collaborative Systems","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114533586","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}
The emergence of Web 2.0 made knowledge sharing via Internet an easy task. Collective intelligence leverages this knowledge shared to solve problems. Using collective intelligence along with IT (Information Technology) techniques in transportation systems can make them more secure, efficient and reliable without changing existing physical structures. The products generated by this combination are known as ITS (Intelligent Transportation Systems). This paper presents an application that uses the concept of ITS and collective intelligence to enable users to visualize possible problems on bus lines due to traffic conditions. The application is part of the project UbiBus, which focuses on bringing solutions together to improve services provided to public transportation users in Brazil.
Web 2.0的出现使得通过互联网进行知识共享变得轻而易举。集体智慧利用这种共享的知识来解决问题。在运输系统中使用集体智慧和IT(信息技术)技术可以使它们更加安全、高效和可靠，而无需改变现有的物理结构。这种组合产生的产品被称为ITS(智能交通系统)。本文介绍了一个应用程序，该应用程序使用ITS和集体智能的概念，使用户能够可视化公交线路上由于交通状况而可能出现的问题。该应用程序是UbiBus项目的一部分，该项目专注于将解决方案整合在一起，以改善巴西公共交通用户提供的服务。
{"title":"A Collective Intelligence Based System for Visualizing Problems in Public Roads","authors":"M. Nishi, A. Chaves, Igor Steinmacher","doi":"10.1109/SBSC.2012.26","DOIUrl":"https://doi.org/10.1109/SBSC.2012.26","url":null,"abstract":"The emergence of Web 2.0 made knowledge sharing via Internet an easy task. Collective intelligence leverages this knowledge shared to solve problems. Using collective intelligence along with IT (Information Technology) techniques in transportation systems can make them more secure, efficient and reliable without changing existing physical structures. The products generated by this combination are known as ITS (Intelligent Transportation Systems). This paper presents an application that uses the concept of ITS and collective intelligence to enable users to visualize possible problems on bus lines due to traffic conditions. The application is part of the project UbiBus, which focuses on bringing solutions together to improve services provided to public transportation users in Brazil.","PeriodicalId":257965,"journal":{"name":"2012 Brazilian Symposium on Collaborative Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125233904","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}
E. M. Silva, D. O. Rodrigues, J. G. Souza, A. Salgado, S. Meira
This paper presents a novel method to infer trustiness in social networks entitled T-SWEETS. It is also presents its application at Konnen, a knowledge management platform on social networks based. The features explored in T-SWEETS come from research done on related works from the literature and from an experiment development with a group of 34 people. T-SWEETS have been main purpose to act as an incentive to collaboration in social networks and, therefore, naturally increase the frequency of knowledge dissemination among the users. Thus, it provides background to others automated systems (e.g. recommender systems) and, therefore, the knowledge produced by these users can be explored more efficiently.
{"title":"T-SWEETS: An Alternative to the Stimulus Collaboration from Trust Inference in Social Networks","authors":"E. M. Silva, D. O. Rodrigues, J. G. Souza, A. Salgado, S. Meira","doi":"10.1109/SBSC.2012.28","DOIUrl":"https://doi.org/10.1109/SBSC.2012.28","url":null,"abstract":"This paper presents a novel method to infer trustiness in social networks entitled T-SWEETS. It is also presents its application at Konnen, a knowledge management platform on social networks based. The features explored in T-SWEETS come from research done on related works from the literature and from an experiment development with a group of 34 people. T-SWEETS have been main purpose to act as an incentive to collaboration in social networks and, therefore, naturally increase the frequency of knowledge dissemination among the users. Thus, it provides background to others automated systems (e.g. recommender systems) and, therefore, the knowledge produced by these users can be explored more efficiently.","PeriodicalId":257965,"journal":{"name":"2012 Brazilian Symposium on Collaborative Systems","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127774941","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}
In many occasions of our daily lives, we are willing to spontaneously interact or collaborate with nearby people for sharing ideas, chatting, saving time/money, or helping each other. For that purpose, it is often necessary to identify and reason about shared context situations that are based on distributed sources of local contexts. So far, most of the work that investigates mechanisms to support spontaneous discovery and interaction among mobile users has not thoroughly explored means of automatic detection of common Global Context States (GCS). In this paper, we discuss a distributed reasoning approach and algorithm that determines a distributed Global Context State among potentially interacting agents. We also evaluate the complexity of the algorithm - through simulation - and identify how the convergence of the algorithm is influenced by users' mobility patterns, the requested minimum number of contributing agents required to conclude a reasoning process and the volatility of each agent's local context.
{"title":"Evaluation of an Approach for Distributed Cooperative Reasoning of Global Context States","authors":"Alexandre Skyrme, M. Endler","doi":"10.1109/SBSC.2012.8","DOIUrl":"https://doi.org/10.1109/SBSC.2012.8","url":null,"abstract":"In many occasions of our daily lives, we are willing to spontaneously interact or collaborate with nearby people for sharing ideas, chatting, saving time/money, or helping each other. For that purpose, it is often necessary to identify and reason about shared context situations that are based on distributed sources of local contexts. So far, most of the work that investigates mechanisms to support spontaneous discovery and interaction among mobile users has not thoroughly explored means of automatic detection of common Global Context States (GCS). In this paper, we discuss a distributed reasoning approach and algorithm that determines a distributed Global Context State among potentially interacting agents. We also evaluate the complexity of the algorithm - through simulation - and identify how the convergence of the algorithm is influenced by users' mobility patterns, the requested minimum number of contributing agents required to conclude a reasoning process and the volatility of each agent's local context.","PeriodicalId":257965,"journal":{"name":"2012 Brazilian Symposium on Collaborative Systems","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133853908","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}
Awareness is a natural human characteristic. However, in a virtual environment, the perception is impaired due to systems limitations. Social networks are systems which many interactions among users take place and it becomes necessary to provide awareness support. There is no standard to give its support and each social network provides it in your own way. This paper presents a domain analysis using the FODA method, based on the 3C collaboration model (communication, coordination and cooperation) and the types of awareness (social, workspace and activities) to classify the features found.
{"title":"Domain Analysis for Mechanism of Awareness in Social Networking in the Web 2.0","authors":"Vinicius Barbosa de Souza, L. S. Oliveira","doi":"10.1109/SBSC.2012.23","DOIUrl":"https://doi.org/10.1109/SBSC.2012.23","url":null,"abstract":"Awareness is a natural human characteristic. However, in a virtual environment, the perception is impaired due to systems limitations. Social networks are systems which many interactions among users take place and it becomes necessary to provide awareness support. There is no standard to give its support and each social network provides it in your own way. This paper presents a domain analysis using the FODA method, based on the 3C collaboration model (communication, coordination and cooperation) and the types of awareness (social, workspace and activities) to classify the features found.","PeriodicalId":257965,"journal":{"name":"2012 Brazilian Symposium on Collaborative Systems","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123204802","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}
The knowledge acquired by the members of a software organization is one of its most important assets. Therefore, the proper management of this knowledge has become a real need in the software development industry. One of the approaches to encourage knowledge transfer is its adequate formalization. This method can facilitate knowledge learning and usage. However, knowledge formalization is not trivial and there are several related strategies. This paper presents a qualitative study, in which we compared two knowledge codification support strategies: ABC-Pattern and Mind Map. The results indicate that the participants had a preference in using the ABC-Pattern approach due to its usage and utility. We identified some of the reasons for this preference: a) more codification detail, b) a more detailed description of the knowledgeâs scenario which is more clarifying, c) the possibility of acquiring more information with less effort, and d) the possibility of describing both the problem and the solution.
{"title":"Comparing Knowledge Codification Approaches: An Empirical Study","authors":"J. Rabelo, Davi Viana, T. Conte, Gleison Santos","doi":"10.1109/SBSC.2012.9","DOIUrl":"https://doi.org/10.1109/SBSC.2012.9","url":null,"abstract":"The knowledge acquired by the members of a software organization is one of its most important assets. Therefore, the proper management of this knowledge has become a real need in the software development industry. One of the approaches to encourage knowledge transfer is its adequate formalization. This method can facilitate knowledge learning and usage. However, knowledge formalization is not trivial and there are several related strategies. This paper presents a qualitative study, in which we compared two knowledge codification support strategies: ABC-Pattern and Mind Map. The results indicate that the participants had a preference in using the ABC-Pattern approach due to its usage and utility. We identified some of the reasons for this preference: a) more codification detail, b) a more detailed description of the knowledgeâs scenario which is more clarifying, c) the possibility of acquiring more information with less effort, and d) the possibility of describing both the problem and the solution.","PeriodicalId":257965,"journal":{"name":"2012 Brazilian Symposium on Collaborative Systems","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131491370","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}
The usage of social networks environments inside organizations is being suggested as a good way to deploy knowledge management initiatives. Because this kind of environment provides a natural and informal way to people engage on collaborative activities, this kind of initiative can be a good alternative approach to achieve better results in knowledge management initiatives. In this context, it was conducted an action research to investigate how a Web based social network could be used as the main tool in a knowledge management initiative being held in an innovation institute. During this action research, the Web based social network was proposed and developed to meet the knowledge management needs of the organization. In the five years span in which the action research was carried out, a set of metrics were proposed, monitored and analyzed, originating some improvement proposals for both, the initiative and the social network environment. Through the deployment of these proposals, it was possible to monitor the impacts of the proposals on the organization. At the end, this action research showed some reflections and conclusions on the whole initiative.
{"title":"Analysis of a Social Network as a Knowledge Management Tool","authors":"R. Costa, S. Meira","doi":"10.1109/SBSC.2012.24","DOIUrl":"https://doi.org/10.1109/SBSC.2012.24","url":null,"abstract":"The usage of social networks environments inside organizations is being suggested as a good way to deploy knowledge management initiatives. Because this kind of environment provides a natural and informal way to people engage on collaborative activities, this kind of initiative can be a good alternative approach to achieve better results in knowledge management initiatives. In this context, it was conducted an action research to investigate how a Web based social network could be used as the main tool in a knowledge management initiative being held in an innovation institute. During this action research, the Web based social network was proposed and developed to meet the knowledge management needs of the organization. In the five years span in which the action research was carried out, a set of metrics were proposed, monitored and analyzed, originating some improvement proposals for both, the initiative and the social network environment. Through the deployment of these proposals, it was possible to monitor the impacts of the proposals on the organization. At the end, this action research showed some reflections and conclusions on the whole initiative.","PeriodicalId":257965,"journal":{"name":"2012 Brazilian Symposium on Collaborative Systems","volume":"489 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116621549","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}
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