Specifying and analysing reputation systems with coordination languages

Reputation systems are nowadays widely used to support decision making in networked systems. Parties in such systems rate each other and use shared ratings to compute reputation scores that drive their interactions. The existence of reputation systems with remarkable differences calls for formal approaches to their analysis. We present a verification methodology for reputation systems that is based on the use of the coordination language Klaim and related analysis tools. First, we define a parametric Klaim specification of a reputation system that can be instantiated with different reputation models. Then, we consider stochastic specification obtained by considering actions with random (exponentially distributed) duration. The resulting specification enables quantitative analysis of properties of the considered system. Feasibility and effectiveness of our proposal is demonstrated by reporting on the analysis of two reputation models

Semantic web trust : the next step in web evolution

The inception of the World Wide Web marked the beginning of a new age, an age where information is easily distributed and accessible to everyone. Years after it was conceived, the net is still growing at a higher rate than ever. It is becoming ever more apparent that the World Wide Web’s current software infrastructure will need to evolve if it is to remain a reliable and dependable resource. In this paper we will be looking into the facets that make web content accessible and reliable. We will also be proposing a structure that makes use of technologies such as the Semantic Web and Agent Technology to help resolve data access and classification issues. The approach that we are proposing will involve the creation and distribution of data tags, policies and reasoners. We will also show how these items can be used by entities such as software agents or users to specify access control, classify the resources in terms of relevance and to decide on how trustworthy the information being used is.peer-reviewe

Исчисление мнений: расширение репутационной модели

Репутационная аксиоматика на основе нечетких множеств обобщается до понятия схожести мнений. Дается понятие рефлексивного множества. Вводится многоуровневая репутационная модель и рассматривается возможный вид процесса распространения мнений и репутации в средах групповых (форумы, конференции) и персональных (e-mail) коммуникаций

Time-Decay-Based Reputation Method for Buyers Making Decisions in Online Shopping

Trust and reputation is considered a significant part of the Internet marketing. Internet transactions or interactions involve anonymity of participants, which are more risky on account of uncertainty about the quality of service or identity of service providers. Reputation system is a mechanism to determine who is trustworthy and induce Internet marketing’s participants to maintain a good reputation while performing Internet activities. We consider that the evaluation of service provider’s reputation or participant’s honesty and responsibility constrained in some way by three factors, they are service quality, transaction time, and dollar value involved in the transaction(s), we called them as triple constraint. Very little research had done to pinpoint the relationship between trust and reputation with this triple constraint, especially when trust decay and time decay factors involved in the reputation evaluation process. We propose and investigate a novel dynamic trust and reputation framework based on the three factors mentioned above to reflect the more realistic reputation of the service providers in the Internet market

Novel mechanism for evaluating feedback in the grid environment on resource allocation

The primary concern in proffering an infrastructure for general purpose computational grids formation is security. Grid implementations have been devised to deal with the security concerns. The chief factors that can be problematic in the secured selection of grid resources are the wide range of selection and the high degree of strangeness. Moreover, the lack of a higher degree of confidence relationship is likely to prevent efficient resource allocation and utilization. In this paper, we propose an efficient approach for the secured selection of grid resources, so as to achieve secure execution of the jobs. The presented approach utilizes trust and reputation for securely selecting the grid resources by also evaluation user’s feedback on the basis of the feedback already available about the entities. The proposed approach is scalable for an increased number of resources

Awareness and usage of MOOCs: The underrepresented experience

MOOC's (Massive Open Online Courses) allow individuals to expand boundaries, enrolling massive numbers of students with potential quality learning materials and resources that may not otherwise exist in underserved communities. The proliferation of MOOCs holds the potential to enhance access to quality learning materials for those who lack these resources, such as young adults in low-income communities; African Americans are overrepresented in these communities. There has been little attention to investigating how African Americans in higher education currently use MOOCs for personal and career development, and even less attention to how these young adults become aware of MOOCs. This empirical study identifies how African Americans from underserved communities in New Jersey became aware of MOOCs and their uses of it. Findings in this research are essential for education providers, economists, educational technology developers, even politicians, for developing strategies to raise awareness of MOOCs in underserved communities. Such strategies could enhance access to potential quality educational resources, which could ultimately decrease education disparities