Temporal Analysis of Activity Patterns of Editors in Collaborative Mapping Project of OpenStreetMap

In the recent years Wikis have become an attractive platform for social studies of the human behaviour. Containing millions records of edits across the globe, collaborative systems such as Wikipedia have allowed researchers to gain a better understanding of editors participation and their activity patterns. However, contributions made to Geo-wikis_wiki-based collaborative mapping projects_ differ from systems such as Wikipedia in a fundamental way due to spatial dimension of the content that limits the contributors to a set of those who posses local knowledge about a specific area and therefore cross-platform studies and comparisons are required to build a comprehensive image of online open collaboration phenomena. In this work, we study the temporal behavioural pattern of OpenStreetMap editors, a successful example of geo-wiki, for two European capital cities. We categorise different type of temporal patterns and report on the historical trend within a period of 7 years of the project age. We also draw a comparison with the previously observed editing activity patterns of Wikipedia.Comment: Submitte

Does switching pay off? The impact of parliamentary party instability on individual electoral performance

Members of parliament who change their parliamentary party group (PPG) affiliation can be motivated by a variety of factors but the desire to improve their electoral prospects is often argued to be the among the most important. But does switching PPG affiliation improve or damage the electoral performance of those involved? We study the changes in electoral performance of Polish MPs involved in parliamentary party instability since the mid-1990s using an original dataset on all instances of switching compiled by the INSTAPARTY (Party Instability in Parliaments, https://instapartyproject.com) project. In addition to analyzing whether the MPs run for the parliament again in the following election, we zoom in on their electoral performance in terms of personal preference votes. We consider the electoral dividends of different types of switching and find that the effect of switching on personal electoral performance depends on the type of switching MPs were involved in

Understanding the Complexity of Party Instability in Parliaments

We propose a new typology of parliamentary party switches (switching events) that focuses on three dimensions: (1) the number of MPs and the degree of coordination, (2) the origin of switchers and (3) the destination of switchers – a parliamentary party group (PPG) or independent status. We further distinguish between switches with single and multiple destinations. Our approach sheds new light to party instability in various ways. We elucidate types of party instability to emphasize the complexity of party instability that have eluded the conceptual toolset available thus far. For example, “collective defection” (coordinated movement from one PPG to another), “collective exit” (MPs exiting their parliamentary group to become independent MPs) and “multi-PPG split” (coordinated moves from several PPGs to form a new PPG). Using preliminary data compiled for Instaparty (Party Instability in Parliaments) project from (mostly) Poland and Ireland, we find rich diversity in the forms of parliamentary party instability. While individual defections are much more common than group defections, they are clearly more dominant in Ireland than in Poland; furthermore, switches between PPGs (rather than between PPGs and independent status) have been more common in Poland. Our typology is illustrated by the analysis of the 8th Polish Sejm that provides examples of nearly all single-origin switching events and of most multiorigin ones. The new typology presents the first step of our inquiry into the patterns, causes and consequences of party switching in eight democracies (Estonia, Ireland, Italy, Lithuania, Norway, the Netherlands, Poland and Romania) from 1960s/1990s to early 2020s

Augmenting Marine Food Production Through Fisheries Management and Mariculture

There is new aspiration of sustainable exploitation of marine resources and to achieve sustainable development goals (SDG 14) in recent years. In this context, this document delineates new scope of venturing into the blue economy relative to marine fisheries and mariculture. Potential interventions in marine fisheries include – (i) expansion of the commercial fishing area (beyond the 80 m depth) for harvesting high value fish species (such as tuna, lakkha), (ii) exploration for new fishing grounds and fisheries, (iii) value addition and reducing post-harvest losses, and (iv) assessment of fisheries stocks for estimation of potential yields and optimum sizes of harvest. Food production through mariculture mostly relies on – (i) domestication of new species (such as finfish: seabass, mullet, hilsa, grouper; crustaceans: mud crab; plants: seaweeds) for product diversification and risk reduction towards economic stability, (ii) production intensification (such as semi-intensive farming) and adoption of innovative fish/shellfish farming (such as marine cage culture, aquasilviculture, integrated multi-trophic aquaculture) to create new business opportunities, and (iii) live feeds (such as rotifers, artemia biomass) production for hatchery for sustaining the mariculture industry. Nevertheless, investments, knowledge, innovations, new technologies, new breeds and newly domesticated mariculture species can promise a blue revolution in Bangladesh

On the Complexity of Shared Conceptualizations

In the Social Web, folksonomies and other similar knowledge organization techniques may suffer limitations due to both different users’ tagging behaviours and semantic heterogeneity. In order to estimate how a social tagging network organizes its resources, focusing on sharing (implicit) conceptual schemes, we apply an agent-based reconciliation knowledge system based on Formal Concept Analysis. This article describes various experiments that focus on conceptual structures of the reconciliation process as applied to Delicious bookmarking service. Results will show the prevalence of sharing tagged resources in order to be used by other users as recommendations.Ministerio de Ciencia e Innovación TIN2009-09492Junta de Andalucía TIC-606

Photovoltaic generator modeling for large scale distribution system studies

Geographic regions with favorable conditions for photovoltaic (PHV) power generation are seeing increasing numbers of three-phase commercial installations and single-phase residential sized installations. PHV sources can be described as intermittent sources because their power production is a function of ever changing environmental conditions. Increased numbers of these intermittent sources will begin to have a significant impact on the distribution system. This work presents the development of a simulation model for utility distribution systems with installed PHV generation. The mathematical modeling of PHV generators is investigated and a model is developed to calculate power output based on the environmental conditions which determine generator behavior. This output is then integrated into an unbalanced distribution power flow solver using either a constant PQ or constant P|V| generator model. The model has been implemented and simulations will be presented for a 394 bus test system. In order to accommodate intermittency, hourly simulations which utilize corresponding environmental conditions and 24 hour load curves have been automated. Simulations are performed in order to perform system studies in the areas of demand profiles, phase balancing, feeder balancing, power factor changes and voltage rise. Analysis is performed to identify issues that will be most relevant to engineers working in planning and operations of distribution systems with installed PHV generation.M.S., Electrical Engineering -- Drexel University, 200

Enrichment and ranking of the YouTube tag space and integration with the Linked Data cloud

The increase of personal digital cameras with video functionality and video-enabled camera phones has increased the amount of user-generated videos on the Web. People are spending more and more time viewing online videos as a major source of entertainment and “infotainment”. Social websites allow users to assign shared free-form tags to user-generated multimedia resources, thus generating annotations for objects with a minimum amount of effort. Tagging allows communities to organise their multimedia items into browseable sets, but these tags may be poorly chosen and related tags may be omitted. Current techniques to retrieve, integrate and present this media to users are deficient and could do with improvement. In this paper, we describe a framework for semantic enrichment, ranking and integration of web video tags using Semantic Web technologies. Semantic enrichment of folksonomies can bridge the gap between the uncontrolled and flat structures typically found in user-generated content and structures provided by the Semantic Web. The enhancement of tag spaces with semantics has been accomplished through two major tasks: a tag space expansion and ranking step; and through concept matching and integration with the Linked Data cloud. We have explored social, temporal and spatial contexts to enrich and extend the existing tag space. The resulting semantic tag space is modelled via a local graph based on co-occurrence distances for ranking. A ranked tag list is mapped and integrated with the Linked Data cloud through the DBpedia resource repository. Multi-dimensional context filtering for tag expansion means that tag ranking is much easier and it provides less ambiguous tag to concept matching

Social network dynamics of face-to-face interactions

The recent availability of data describing social networks is changing our understanding of the "microscopic structure" of a social tie. A social tie indeed is an aggregated outcome of many social interactions such as face-to-face conversations or phone-calls. Analysis of data on face-to-face interactions shows that such events, as many other human activities, are bursty, with very heterogeneous durations. In this paper we present a model for social interactions at short time scales, aimed at describing contexts such as conference venues in which individuals interact in small groups. We present a detailed anayltical and numerical study of the model's dynamical properties, and show that it reproduces important features of empirical data. The model allows for many generalizations toward an increasingly realistic description of social interactions. In particular in this paper we investigate the case where the agents have intrinsic heterogeneities in their social behavior, or where dynamic variations of the local number of individuals are included. Finally we propose this model as a very flexible framework to investigate how dynamical processes unfold in social networks.Comment: 20 pages, 25 figure

Reporting of Adverse Events in Published and Unpublished Studies of Health Care Interventions : A Systematic Review

BACKGROUND: We performed a systematic review to assess whether we can quantify the underreporting of adverse events (AEs) in the published medical literature documenting the results of clinical trials as compared with other nonpublished sources, and whether we can measure the impact this underreporting has on systematic reviews of adverse events. METHODS AND FINDINGS: Studies were identified from 15 databases (including MEDLINE and Embase) and by handsearching, reference checking, internet searches, and contacting experts. The last database searches were conducted in July 2016. There were 28 methodological evaluations that met the inclusion criteria. Of these, 9 studies compared the proportion of trials reporting adverse events by publication status. The median percentage of published documents with adverse events information was 46% compared to 95% in the corresponding unpublished documents. There was a similar pattern with unmatched studies, for which 43% of published studies contained adverse events information compared to 83% of unpublished studies. A total of 11 studies compared the numbers of adverse events in matched published and unpublished documents. The percentage of adverse events that would have been missed had each analysis relied only on the published versions varied between 43% and 100%, with a median of 64%. Within these 11 studies, 24 comparisons of named adverse events such as death, suicide, or respiratory adverse events were undertaken. In 18 of the 24 comparisons, the number of named adverse events was higher in unpublished than published documents. Additionally, 2 other studies demonstrated that there are substantially more types of adverse events reported in matched unpublished than published documents. There were 20 meta-analyses that reported the odds ratios (ORs) and/or risk ratios (RRs) for adverse events with and without unpublished data. Inclusion of unpublished data increased the precision of the pooled estimates (narrower 95% confidence intervals) in 15 of the 20 pooled analyses, but did not markedly change the direction or statistical significance of the risk in most cases. The main limitations of this review are that the included case examples represent only a small number amongst thousands of meta-analyses of harms and that the included studies may suffer from publication bias, whereby substantial differences between published and unpublished data are more likely to be published. CONCLUSIONS: There is strong evidence that much of the information on adverse events remains unpublished and that the number and range of adverse events is higher in unpublished than in published versions of the same study. The inclusion of unpublished data can also reduce the imprecision of pooled effect estimates during meta-analysis of adverse events