Towards Systems Design for Supporting Enabling Communities

Communities and community support systems should be designed to enable participants to work effectively towards conducting both collective and individual activities and achieving their goals. Such communities are called Enabling Communities. Our focus is the systems that support community members in doing whichever tasks or activities they need or want to. These systems include processes, technology, information and people. This paper provides a framework for Supporting Enabling Communities (SEComm) in two major components: (1) Participant Support Systems (PaSS) and (2) Community Participation Levels (CPaL). Three case studies apply this framework to an emerging virtual community and a community of practice

Assessing digital preservation frameworks: the approach of the SHAMAN project

How can we deliver infrastructure capable of supporting the preservation of digital objects, as well as the services that can be applied to those digital objects, in ways that future unknown systems will understand? A critical problem in developing systems is the process of validating whether the delivered solution effectively reflects the validated requirements. This is a challenge also for the EU-funded SHAMAN project, which aims to develop an integrated preservation framework using grid-technologies for distributed networks of digital preservation systems, for managing the storage, access, presentation, and manipulation of digital objects over time. Recognising this, the project team ensured that alongside the user requirements an assessment framework was developed. This paper presents the assessment of the SHAMAN demonstrators for the memory institution, industrial design and engineering and eScience domains, from the point of view of user’s needs and fitness for purpose. An innovative synergistic use of TRAC criteria, DRAMBORA risk registry and mitigation strategies, iRODS rules and information system models requirements has been designed, with the underlying goal to define associated policies, rules and state information, and make them wherever possible machine-encodable and enforceable. The described assessment framework can be valuable not only for the implementers of this project preservation framework, but for the wider digital preservation community, because it provides a holistic approach to assessing and validating the preservation of digital libraries, digital repositories and data centres

Analisis dan Desain Sistem Informasi Administrasi Kegiatan Penelitian dan Pengabdian Masyarakat Menggunakan Metode Work System Framework dengan Pemodelan Unified Modeling Language

University can’t be separated from the Tri Dharma namely in the fields of education, research and community service. Institute for Research and Community Services Lancang Kuning University has launched a strategic framework for research through the Research Master Plan (RIP) and the Roadmap Research to support research results and superior quality. One of them by building an Information Systems Research Activities Administration and Community Services seeks to streamline the work of the staff LPPM and also makes it easy for researchers in particular lecturers and reviewers in their duties. In this system, the researchers register their proposals online. Furthermore, staff LPPM recaps the number of proposals on all types of grants that is then distributed to the reviewer to assess. Administration Information System Research Activities and Community Service is used method of analysis Work System Framework. Methods of work system framework, expected later able to provide a description of the process or activity system that uses information technology or other resources. Modeling design methodology using Unified Modeling Language (UML) and MySql database. Keywords : Information Systems, Administration, Work System Framework, UM

Consumer credit information systems: A critical review of the literature. Too little attention paid by lawyers?

This paper reviews the existing literature on consumer credit reporting, the most extensively used instrument to overcome information asymmetry and adverse selection problems in credit markets. Despite the copious literature in economics and some research in regulatory policy, the legal community has paid almost no attention to the legal framework of consumer credit information systems, especially within the context of the European Union. Studies on the topic, however, seem particularly relevant in view of the establishment of a single market for consumer credit. This article ultimately calls for further legal research to address consumer protection concerns and inform future legislation

Searching for Communities in Bipartite Networks

Bipartite networks are a useful tool for representing and investigating interaction networks. We consider methods for identifying communities in bipartite networks. Intuitive notions of network community groups are made explicit using Newman's modularity measure. A specialized version of the modularity, adapted to be appropriate for bipartite networks, is presented; a corresponding algorithm is described for identifying community groups through maximizing this measure. The algorithm is applied to networks derived from the EU Framework Programs on Research and Technological Development. Community groups identified are compared using information-theoretic methods.Comment: 12 pages, 4 figures, to appear in "Proceedings of the 5th Jagna International Workshop: Stochastic and Quantum Dynamics of Biomolecular Systems," C. C. Bernido and M. V. Carpio-Bernido, editors. A version with full-quality figures and larger file size is available at http://ccm.uma.pt/publications/Barber-Faria-Streit-Strogan-2008.pd

Engaging Youth Through Spatial Socio-Technical Storytelling, Participatory GIS, Agent-Based Modeling, Online Geogames and Action Projects.

The main goal of this paper is to present the conceptual framework for engaging youth in urban planning activities that simultaneously create locally meaningful positive change. The framework for engaging youth interlinks the use of IT tools such as geographic information systems (GIS), agent-based modelling (ABM), online serious games, and mobile participatory geographic information systems with map-based storytelling and action projects. We summarize the elements of our framework and the first results gained in the program Community Growers established in a neighbourhood community of Des Moines, the capital of Iowa, USA. We conclude the paper with a discussion and future research directions

A pathway to independence : wayfinding systems which adapt to a visually impaired person's context

Despite an increased amount of technologies and systems designed to address the navigational requirements of the visually impaired community of approximately 7.4 million in Europe, current research has failed to sufficiently address the human issues associated to their design and use. As more types of sensing technologies are developed to facilitate visually impaired travellers for different navigational purposes (local vs. distant and indoor vs. outdoor), an effective process of synchronisation is required. This synchronisation is represented through context-aware computing, which allows contextual information to not just be sensed (like most current wayfinding systems), but also adapted, discovered and augmented. In this paper, three user studies concerning the suitability of different types of navigational information for visually impaired and sighted people are described. For such systems to be effective, human cognitive maps, models and intentions need to be the focus of further research, in order to provide information that is tailored to a user's task, situation or environment. Methodologies aimed at establishing these issues need to be demonstrated through a multidisciplinary framework

Fast Detection of Community Structures using Graph Traversal in Social Networks

Finding community structures in social networks is considered to be a challenging task as many of the proposed algorithms are computationally expensive and does not scale well for large graphs. Most of the community detection algorithms proposed till date are unsuitable for applications that would require detection of communities in real-time, especially for massive networks. The Louvain method, which uses modularity maximization to detect clusters, is usually considered to be one of the fastest community detection algorithms even without any provable bound on its running time. We propose a novel graph traversal-based community detection framework, which not only runs faster than the Louvain method but also generates clusters of better quality for most of the benchmark datasets. We show that our algorithms run in O(|V | + |E|) time to create an initial cover before using modularity maximization to get the final cover. Keywords - community detection; Influenced Neighbor Score; brokers; community nodes; communitiesComment: 29 pages, 9 tables, and 13 figures. Accepted in "Knowledge and Information Systems", 201