Elite Tweets: Analysing the Twitter Communication Patterns of Labour Party Peers in the House of Lords

The micro-blogging platform Twitter has gained notoriety for its status as both a communication channel between private individuals, and as a public forum monitored by journalists, the public, and the state. Its potential application for political communication has not gone unnoticed; politicians have used Twitter to attract voters, interact with constituencies and advance issue-based campaigns. This article reports on the preliminary results of the research team’s work with 21 peers sitting on the Labour frontbench. It is based on the monitoring and archival of the peers’ activity on Twitter for a period of 100 days from 16th May to 28th September 2012. Using a sample of more than 4,363 tweets and a mixed methodology combining semantic analysis, social network analysis and quantitative analysis, this paper explores the peers’ patterns of usage and communication on Twitter. Key findings are that as a tweeting community their behavior is consistent with others, however there is evidence that a coherent strategy is lacking. Labour peers tend to work in ego networks of self-interest as opposed to working together to promote party polic

Understanding Idea Creation in Collaborative Discourse through Networks: The Joint Attention-Interaction-Creation (AIC) Framework

In Computer-Supported Collaborative Learning, ideas generated through collaborative discourse are informative indicators of students' learning and collaboration. Idea creation is a product of emergent and interactive socio-cognitive endeavors. Therefore, analyzing ideas requires capturing contextual information in addition to the ideas themselves. In this paper, we propose the Joint Attention-Interaction-Creation (AIC) framework, which captures important dynamics in collaborative discourse, from attention and interaction to creation. The framework was developed from the networked lens, informed by natural language processing techniques, and inspired by socio-semantic network analysis. A case study was included to exemplify the framework's application in classrooms and to illustrate its potential in broader contexts

Analysis of students design activities towards biomimicry conceptual design

The creation of a new idea is crucial in many aspects of thinking. An improvement in method of thinking process these days has been producing a lot of novelty in design circumstances. Design thinking is often and very much influenced by design work. Nowadays, there are many research fieldworks use design thinking process to explain certain arising problems. In this study, we use Biomimicry as an approach to develop students’ design activities. Biomimicry study was highlighted when many solutions have been successfully implemented using this method in various fields of work nowadays. Biomimicry was originally formed by two different Greek root words which are “bios‟ meant life and “mimesis” which means imitate. Now, many have started to recognize the importance of inspirations of nature since a lot of researches have been conducted to understand. Conceptual framework is the basis of understanding in any study or research. This study will be utilising properties specified in the frame work which has been produced in developing the research methods. By using two aspects of study methods which are questionnaire and drawing test as a medium for experimentation and analysis

10471 Abstracts Collection -- Scalable Visual Analytics

From 21.11. to 26.11.2010, the Dagstuhl Seminar 10471 ``Scalable Visual Analytics\u27\u27 was held in Schloss Dagstuhl~--~Leibniz Center for Informatics. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available

APPLYING OF DESIGN THINKING APPROACH IN THE DEVELOPMENT OF FOREIGN LANGUAGE COURSE

A lot of people comprehend the necessity to acquire foreign languages and particularly foreign languages for their professional needs, but in most cases, their enthusiasm and motivation decrease and sometimes even disappear when hard work on a regular basis starts.  The greatest advantages of the Design Thinking approach in teaching foreign languages are the development of foreign languages’ competencies and the making of the learners more motivated. The aim of the paper is to analyze the development outcomes of communicative competencies by applying the Design Thinking approach to teaching foreign languages to Bachelor level law students who acquire legal English and Bachelor level Information Technology students who study German as a second foreign language. The following methods were used while doing the research: survey data analysis of the foreign languages courses’ target audience and the qualitative analysis of the data content. A questionnaire of the students was developed and carried out, the answers were processed.  The research experience was analyzed, the conclusions were drawn and the proposals for future work were worked out. The framework of learning was based on the Stanford method: empathizing, defining the problem, ideating, prototyping, and testing. The results of the study proved that the design thinking approach is effective as the learners solve many real-life problems. This encouraged collaboration and activity as they discussed simulated professional and real-life issues. The results also proved that the design thinking approach is recommended for learners with a higher level of foreign language proficiency. The pros and cons of the approach, based on the learners’ results and questionnaires have been summarized

Visualizing the LAK/EDM literature using combined concept and rhetorical sentence extraction

Scientific communication demands more than the mere listing of empirical findings or assertion of beliefs. Arguments must be constructed to motivate problems, expose weaknesses, justify higher-order concepts, and support claims to be advancing the field. Researchers learn to signal clearly in their writing when they are making such moves, and the progress of natural language processing technology has made it possible to combine conventional concept extraction with rhetorical analysis that detects these moves. To demonstrate the potential of this technology, this short paper documents preliminary analyses of the dataset published by the Society for Learning Analytics, comprising the full texts from primary conferences and journals in Learning Analytics and Knowledge (LAK) and Educational Data Mining (EDM). We document the steps taken to analyse the papers thematically using Edge Betweenness Clustering, combined with sentence extraction using the Xerox Incremental Parser's rhetorical analysis, which detects the linguistic forms used by authors to signal argumentative discourse moves. Initial results indicate that the refined subset derived from more complex concept extraction and rhetorically significant sentences, yields additional relevant clusters. Finally, we illustrate how the results of this analysis can be rendered as a visual analytics dashboard

A Visualization Framework for Designing Process Mining Diagrams

Sündmuslogid sisaldavad väärtuslikku informatsiooni äriprotsesside seisundi kohta. Informatsioonile ligi pääsemiseks peab andmestiku viima arusaadavale kujule. Protsissikaeve tööriistad kasutavad erinevaid diagramme, mis toetavad sündmuslogide visuaalset uurimist. Nende diagrammide kujundamine ei ole lihtne ülesanne, sest tihti ei tea arendaja ega kasutaja, kus huvipakkuv informatsioon võib asuda. Seepärast peavad diagrammid olema paindlikud, kuid samas lihtsad ja intuitiivsed, et nii analüütikud kui ka mitteasjatundjad saaksid tööriista kasutada. Antud töö uurib olemasolevate protsessikaeve diagrammide kujundusi ja kuidas need kujundused on autorite poolt põhjendatud. Töös tutvustatakse ka raamistikku, mis on välja töötatud selleks, et lihtsustada ja täiustada protsessikaeve diagrammide kujundamist. See põhineb andmete visualiseerimise teoorial ja visualiseerimise praktikatel protsessikaeves. Raamistiku tõhusust on katsetatud juhtumuuringus.Event logs hold valuable information about the health of business processes. In order to access this information, raw data must be transformed to a comprehensible format. Process mining tools use various diagrams to support visual exploration of process logs. Designing such diagrams is not an easy task because oftentimes neither the developer nor user know where interesting or intriguing information lays. Therefore, the diagrams require thoughtful designs that on the one hand allow flexible exploration, and on the other hand, are simple and intuitive to use for analysts as well as non-experts. This work takes a look into existing solutions of process mining visualizations and the design decisions the visualizations are based on. A framework is proposed to simplify and improve the design process for process mining diagrams. It is based on data visualization theory as well as visualization practices in process mining. The effectiveness of the framework is tested in a case study

A Corpus Approach to Roman Law Based on Justinian’s Digest

Traditional philological methods in Roman legal scholarship such as close reading and strict juristic reasoning have analysed law in extraordinary detail. Such methods, however, have paid less attention to the empirical characteristics of legal texts and occasionally projected an abstract framework onto the sources. The paper presents a series of computer-assisted methods to open new frontiers of inquiry. Using a Python coding environment, we have built a relational database of the Latin text of the Digest, a historical sourcebook of Roman law compiled under the order of Emperor Justinian in 533 CE. Subsequently, we investigated the structure of Roman law by automatically clustering the sections of the Digest according to their linguistic profile. Finally, we explored the characteristics of Roman legal language according to the principles and methods of computational distributional semantics. Our research has discovered an empirical structure of Roman law which arises from the sources themselves and complements the dominant scholarly assumption that Roman law rests on abstract structures. By building and comparing Latin word embeddings models, we were also able to detect a semantic split in words with general and legal sense. These investigations point to a practical focus in Roman law which is consistent with the view that ancient law schools were more interested in training lawyers for practice rather than in philosophical neatness.</jats:p