sábado, 18 de febrero de 2012

Some Abstracts from Complexity Digest.........

Some Abstracts from Complexity Digest.

Complexity Digest is an independent publication available to organizations that may wish to repost ComDig to their own mailing lists. ComDig is published by the Computer Sciences Department, IIMAS and the C3, Universidad Nacional Autonoma de Mexico and edited by Carlos Gershenson.

Complexity Digest 2012.04    2012/02/17

Editor-in-Chief: Carlos Gershenson
Founding Editor: Gottfried Mayer

  Archive: http://comdig.unam.mx
  "I think the next century will be the century of complexity." Stephen Hawking, 2000.
·  How the Scientific Community Reacts to Newly Submitted Preprints: Article Downloads, Twitter Mentions, and Citations, arXiv Bookmark and Share
Abstract: We analyze the online response of the scientific community to the preprint publication of scholarly articles. We employ a cohort of 4,606 scientific articles submitted to the preprint database arXiv.org between October 2010 and April 2011. We study three forms of reactions to these preprints: how they are downloaded on the arXiv.org site, how they are mentioned on the social media site Twitter, and how they are cited in the scholarly record. We perform two analyses. First, we analyze the delay and time span of article downloads and Twitter mentions following submission, to understand the temporal configuration of these reactions and whether significant differences exist between them. Second, we run correlation tests to investigate the relationship between Twitter mentions and both article downloads and article citations. We find that Twitter mentions follow rapidly after article submission and that they are correlated with later article downloads and later article citations, indicating that social media may be an important factor in determining the scientific impact of an article.
Editor's Note: Take home message: tweet about your preprints.
1.     The Pulse of News in Social Media: Forecasting Popularity, arXiv Bookmark and Share
Abstract: News articles are extremely time sensitive by nature. There is also intense competition among news items to propagate as widely as possible. Hence, the task of predicting the popularity of news items on the social web is both interesting and challenging. Prior research has dealt with predicting eventual online popularity based on early popularity. It is most desirable, however, to predict the popularity of items prior to their release, fostering the possibility of appropriate decision making to modify an article and the manner of its publication. In this paper, we construct a multi-dimensional feature space derived from properties of an article and evaluate the efficacy of these features to serve as predictors of online popularity. We examine both regression and classification algorithms and demonstrate that despite randomness in human behavior, it is possible to predict ranges of popularity on twitter with an overall 84% accuracy. Our study also serves to illustrate the differences between traditionally prominent sources and those immensely popular on the social web.
o        Source: The Pulse of News in Social Media: Forecasting Popularity, Roja Bandari, Sitaram Asur, Bernardo A. Huberman, arXiv:1202.0332, 2012/02/2
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2.     An Exploration of Social Identity: The Geography and Politics of News-Sharing Communities in Twitter, NECSI Bookmark and Share
Excerpt: The importance of collective social action in current events is manifest in the Arab Spring and Occupy movements. Electronic social media have become a pervasive channel for social interactions, and a basis of collective social response to information. The study of social media can reveal how individual actions combine to become the collective dynamics of society. Characterizing the groups that form spontaneously may reveal both how individuals self-identify and how they will act together. Here we map the social, political, and geographical properties of news-sharing communities on Twitter (…)
o        Source: An Exploration of Social Identity: The Geography and Politics of News-Sharing Communities in Twitter, A. Herdağdalen, W. Zuo, A.S. Gard-Murray, Y. Bar-Yam, NECSI, 2012/02
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·  Nanosecond Trading Could Make Markets Go Haywire, Wired Bookmark and Share
Excerpt: The afternoon of May 6, 2010 was among the strangest in economic history. Starting at 2:42 p.m. EDT, the Dow Jones stock index fell 600 points in just 6 minutes. Its nadir represented the deepest single-day decline in that market’s 114-year history. By 3:07 p.m., the index had rebounded. The “flash crash,” as it came to be known, was big, unexpected and scary €" and a new study says flash events actually happen routinely, at speeds so fast they don’t register on regular market records, with potentially troubling consequences for market stability.