An Approach to Intelligent Interactive Social Network Geo Mapping

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• 作者：Anton Ben?i? (1)
  Márius ?ajgalík (1)
  Michal Barla (1)
  Mária Bieliková (1)
• 关键词：social network – content filtering – map – personalization – visualization
• 刊名：Lecture Notes in Computer Science
• 出版年：2011
• 出版时间：2011
• 年：2011
• 卷：6804
• 期：1
• 页码：612-621
• 全文大小：446.4 KB
• 参考文献：1. Gibbon, D., et al.: GeoTracker: Geospatial and Temporal RSS Navigation. In: Proc. of WWW 2007, pp. 41–50. ACM Press, Banff (2007)
  2. Heer, J., Boyd, D.: Vizster: Visualizing Online Social Networks. In: IEEE Symposium on Information Visualization INFOVIS 2005, pp. 33–40. IEEE Press, Los Alamitos (2005)
  3. MacEachren, A.M.: How maps work: representation, visualization, and design. The Guilford Press, New York (2004)
  4. Crestani, F.: Application of spreading activation techniques in information retrieval. Artif. Intell. Rev., 453–482 (2004)
  5. Liu, B.: Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Data-Centric Systems and Applications). Springer, New York (2006)
  6. Page, L., Brin, S., Motwani, R., Winograd, T.: The PageRank citation ranking: Bringing order to the web. In: Proc. of the 7th International World Wide Web Conference, Brisbane, Australia, pp. 161–172 (1998)
  7. Yang, X., Asur, S., Parthasarathy, S., Mehta, S.: A visual-analytic toolkit for dynamic interaction graphs. In: Proc. of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining KDD 2008, pp. 1016–1024. ACM, New York (2008)
• 作者单位：1. Faculty of Informatics and Information Technologies, Slovak University of Technology in Bratislava, Ilkovi?ova 3, 842 16 Bratislava, Slovakia
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

Map-based visualization of different kinds of information, which can be geo-coded to a particular location, becomes more and more popular, as it is very well accepted and understood by end-users. However, a simple map interface is not enough if we aim to provide information about objects coming from vast and dynamic information spaces such as the Web or social networks are. In this paper, we propose a novel method for intelligent visualization of generic objects within a map interface called IntelliView, based on an extensive evaluation and ranking of objects including both content and collaborative-based approaches. We describe the method implementation in a web-based application called Present, which is aimed at recycling items in social networks together with an experiment aimed at evaluation of proposed approach.