26,740 research outputs found

    Extraction and Analysis of Dynamic Conversational Networks from TV Series

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    Identifying and characterizing the dynamics of modern tv series subplots is an open problem. One way is to study the underlying social network of interactions between the characters. Standard dynamic network extraction methods rely on temporal integration, either over the whole considered period, or as a sequence of several time-slices. However, they turn out to be inappropriate in the case of tv series, because the scenes shown onscreen alternatively focus on parallel storylines, and do not necessarily respect a traditional chronology. In this article, we introduce Narrative Smoothing, a novel network extraction method taking advantage of the plot properties to solve some of their limitations. We apply our method to a corpus of 3 popular series, and compare it to both standard approaches. Narrative smoothing leads to more relevant observations when it comes to the characterization of the protagonists and their relationships, confirming its appropriateness to model the intertwined storylines constituting the plots.Comment: arXiv admin note: substantial text overlap with arXiv:1602.0781

    CEAI: CCM based Email Authorship Identification Model

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    In this paper we present a model for email authorship identification (EAI) by employing a Cluster-based Classification (CCM) technique. Traditionally, stylometric features have been successfully employed in various authorship analysis tasks; we extend the traditional feature-set to include some more interesting and effective features for email authorship identification (e.g. the last punctuation mark used in an email, the tendency of an author to use capitalization at the start of an email, or the punctuation after a greeting or farewell). We also included Info Gain feature selection based content features. It is observed that the use of such features in the authorship identification process has a positive impact on the accuracy of the authorship identification task. We performed experiments to justify our arguments and compared the results with other base line models. Experimental results reveal that the proposed CCM-based email authorship identification model, along with the proposed feature set, outperforms the state-of-the-art support vector machine (SVM)-based models, as well as the models proposed by Iqbal et al. [1, 2]. The proposed model attains an accuracy rate of 94% for 10 authors, 89% for 25 authors, and 81% for 50 authors, respectively on Enron dataset, while 89.5% accuracy has been achieved on authors' constructed real email dataset. The results on Enron dataset have been achieved on quite a large number of authors as compared to the models proposed by Iqbal et al. [1, 2]

    Fluvial dynamics and watermills location in Basilicata (Southern Italy)

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    Watermills (grain mills, waulk mills, olive mills, sawmills and threshing machines) operated in the Basilicata Region from the Roman Period until the early decades of the twentieth century, representing an important feature of waterways that is today almost totally forgotten. Using documentary sources, ancient maps and field survey it is possible to catalogue and identify the location of these ancient hydraulic structures. Watermills were usually placed far enough away from the river to avoid inundation during floods, and near natural knickpoints or artificial steps in the river long profile that were created by mill engineers. Mill construction often had significant impacts on a rivers morphology, because it was necessary to divert the river discharge towards the mill wheel, to drive the grain-grinding mechanism. Watermill typological variations have been examined in relation to variations in river pattern to assess the ways in which the hydrographic and hydrological settings of the Basilicata Region have affected mill siting and operation. Most Basilicata watermills were built with a horizontal water-wheel and a tower. The characteristics of the tower and the associated hydraulic structures varied according to the environmental setting. Finally, mill positions define also the locations on the river system that have already been used to exploit hydraulic power and thus could be useful for future use in the micro-hydroelectric secto

    Peer mediation for conflict management: a Singaporean case study

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    The burgeoning interest in conflict and its management has recently begun to impact on schools and school systems worldwide. Motivated by a concern for increasing levels of violence in schools and student�student conflict, many school administrators are looking at conflict management programs as a means of dealing with the problem. Most of the more widely used programs have their origins in the United States; their appropriateness and effectiveness in other countries and cultures is, at best, unknown, and in some respects open to conjecture. In this paper the cultural appropriateness of a peer mediation program in a primary school in Singapore is the subject of investigation. The study also addresses, in an exploratory manner, the effectiveness of peer mediation as a mechanism for student�student conflict management

    Promoting Higher Order Thinking In Chinese Language Literary Text via Online Social Network

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    This study aims to investigate the impact of technological application (Wiki) in promoting the skill of higher order thinking. The study highlights the teaching and learning of literary text for higher order thinking in a blended learning environment using Wikispaces as a platform. The objectives of this study are to explore the incorporation of Wiki within teaching and learning of literary text in developing higher order thinking. The instruments used for this qualitative study are content analysis on web pages, and group interviews. It was found that, the features of open-editing, discussion posting and video embedding are enabling effective instructions that leads to higher order thinking development in the learning of literary text. Keywords: higher order thinking, online social network, Wikispace
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