A Framework for Citizen e-Participation in Disaster Management

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The document discusses two case studies of citizen participation during disaster situations through social media and online platforms. The Virginia Tech shooting saw citizens contribute through a discussion board to collectively understand and respond to the event. The Britain blizzard saw all citizens able to contribute equally through automated information aggregation. While both were successful examples of citizen participation, they differed in their mechanisms and contexts. The author proposes a morphology to better understand what citizen participation mechanisms work best for different disaster contexts and levels of task complexity.

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The evolution of the World Wide Web (WWW) and the smart-phone technologies have played a key role in the revolution of our daily life. The location-based social networks (LBSN) have emerged and facilitated the users to share the check-in information and multimedia contents. The Point of Interest (POI) recommendation system uses the check-in information to predict the most potential check-in locations. The different aspects of the check-in information, for instance, the geographical distance, the category, and the temporal popularity of a POI; and the temporal check-in trends, and the social (friendship) information of a user plays a crucial role in an efficient recommendation. In this paper, we propose a fused recommendation model termed MAPS (Multi Aspect Personalized POI Recom- mender System) which will be the rst in our knowledge to fuse the categorical, the temporal, the social and the spatial aspects in a single model. The major contribution of this paper are: (i) it realizes the problem as a graph of location nodes with constraints on the category and the distance aspects (i.e. the edge between two locations is constrained by a threshold distance and the category of the locations), (ii) it proposes a multi-aspect fused POI recommendation model, and (iii) it extensively evaluates the model with two real-world data sets. The paper was published in ACM RecSys 2016. The paper can be accessed from the url http://dl.acm.org/citation.cfm?id=2959187.

This presentation is prepared for DALMOOC and talks about the use of social network analysis for understanding distributed pedagogies in massive open online courses (MOOCs). The presentation is based on Skrypnyk, O., Joksimović, S. Kovanović, V., Gasevic, D., Dawson, S. (2014). Roles of course facilitators, learners, and technology in the flow of information of a cMOOC. British Journal of Educational Technology (submitted), http://www.sfu.ca/~dgasevic/papers_shared/bjet2014_cmoocs.pdf.

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Online discussion is a core feature of numerous social media platforms and has attracted increasing attention from academia for different and relevant reasons, e.g., the resolution of problems in collaborative editing, question answering and e-learning platforms, the response of online communities to news events, online political and civic participation, etc. Discussions on the Internet commonly occur as a exchange of written messages among two or more participants. These conversations are often represented as threads, which are initiated by a user posting a starting message (a post) and then other users replies to either the post or the earlier replies. Given this sequential posting behavior, online discussion threads follow a tree network structure. Different modeling approaches have been proposed to identify the governing mechanisms of the network structure of threads. Statistical models of this type are aimed to reproduce the growth of discussion threads through different features, often related to human behavior. This is why they are usually called generative models: they do not only estimate the statistical significance of their corresponding features but also reproduce the temporal arrival patterns of messages that form a discussion thread. The parameters of these models allow to compare different platforms and communities, they even can help to assess the impact of design choices and user interface changes on the way the discussions unfold. Therefore, we aim to provide the participants with state of the art tools and methods for the analysis, diagnosis, management and improvement of online discussion platform and communities.

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박한우 교수가 공저자로 참여한 “전세계 과학자들의 국제협력에 대한 매핑과 네트워크 분석” 이 El professional de la información (SSCI 등재) 에 2010~2015년에 출판된 논문들 가운데 Google Scholar “톱 15 인용” 으로 선정됨. 따라서, 2016년 6월에 스페인 바르셀로나에서 개최되는 “사회과학과 인문학 학술지들에 대한 국제회의” (CRECS)에서 EPI-SCImago 콘텐스의 후보로 선정됨. Leydesdorff, Loet; Wagner, Caroline S.; Park, Han-Woo; Adams, Jonathan (2013).“International collaboration in science: the global map and the network”. El profesional de la información, v. 22, n. 1, pp. 87-94. http://recyt.fecyt.es/index.php/EPI/article/view/epi.2013.ene.12 보낸 사람: "Tomàs Baiget" <baiget@gmail.com> 보냄: 2016년 2월 17일 오후 8:15 받는 사람: "Loet Leydesdorff" <loet@leydesdorff.net>, "Caroline Wagner" <cswagner@mac.com>, "Han Woo Park" <hanpark@ynu.ac.kr>, "Jonathan Adams" <jonathan.adams@thomsonreuters.com> 제목: Your article in the short list for EPI-SCImago Award Dear authors of El profesional de la información I am pleased to inform you that your article published in EPI is one that has received more citations in recent years, according to Google Scholar Citations. Congratulations! Therefore it is listed among the 15 finalists to receive the EPI-SCImago Award for the best article published in the period 2010-2015. I enclose the list. All the articles are currently available in open access . The prize consists of a diploma and 3,000 euros, which will be presented during the 6th International conference on social sciences and humanities journals (CRECS), Barcelona, 5-6 May 2016. The jury that will vote the articles, with more than 50 members, it is being established these days. I will keep you informed. Tomàs Baiget , Director http://www.elprofesionaldelainformacion.com baiget@gmail.com Tel.: +34-639 878 489

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