By Nasrullah Memon, Jennifer Jie Xu, David L. Hicks (auth.), Nasrullah Memon, Jennifer Jie Xu, David L. Hicks, Hsinchun Chen (eds.)
Social community facts Mining: examine Questions, ideas, and functions Nasrullah Memon, Jennifer Xu, David L. Hicks and Hsinchun Chen automated enlargement of a social community utilizing sentiment research Hristo Tanev, Bruno Pouliquen, Vanni Zavarella and Ralf Steinberger computerized mapping of social networks of actors from textual content corpora: Time sequence research James A. Danowski and Noah Cepela A social community established recommender procedure (SNRS) Jianming He and Wesley W. Chu community research of U.S. air transportation community Guangying Hua, Yingjie solar, and Dominique Haughton determining high-status nodes in wisdom networks Siddharth Kaza and Hsinchun Chen Modularity for bipartite networks Tsuyoshi Murata ONDOCS: Ordering nodes to notice overlapping group constitution Jiyang Chen, Osmar R. Zaiane, J¨org Sander, and Randy Goebel Framework for quick id of group buildings in Large-Scale Social Networks Yutaka I. Leon-Suematsu and Kikuo Yuta Geographically geared up small groups and the hardness of clustering social networks Miklós Kurucz and András A. Benczúr Integrating genetic algorithms and fuzzy good judgment for net constitution optimization Iltae Lee, Negar Koochakzadeh, Keivan Kianmehr, Reda Alhajj, and Jon Rokne
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Bush cabinet proportion of zero centrality time periods. Because centrality can be computed only on a connected network, this indicates that in these periods isolated pairs of cabinet members or isolated individuals were treated in the news stories within the observation window. This finding was confirmed by systematic visual examination of the senior Bush administration’s zero centrality periods. Because the White House itself is the primary source of cabinet news it would appear that this recurring deviation from the norm may have been strategic, in that presidential-level political communication is unlikely left to chance.
W. Bush, and Clinton administrations. 2 Methods We have network analyzed the cabinets of each of the presidencies since Nixon aggregated across their respective terms . All Lexis-Nexis news stories in the New York Times and the Washington Post during the administrations that mention at least one of the cabinet members were captured in full text form. A separate search was done for each cabinet member during the time of the presidency. We then aggregated all of these files into one text file for each administration.
Automatic annotation of direct reported speech in Arabic and French, according to semantic map of enunciative modalities. In Proceedings of GoTAL conference, Gothenburg, Sweden, pp. 40–51, 2008. 4. H. Inferential rules in the learning and recall of patterns of sentiments. Journal of Personality, 47(4):658–676, 1979. 5. M. Mining the peanut gallery: Opinion extraction and semantic classification of product reviews. In Proceedings of World-Wide Web Conference, Budapest, Hungary, pp. 519–528, 2003.