Conference track on "Social Simulation of Science Processes" @ESSA 2013

There will be a special track of the following conference on the social simulation of science, chaired by Flaminio Squazzoni:

9th European Social Simulation Association Conference
Warsaw School of Economics, Warsaw, Poland
September 16-20, 2013
http://www.essa2013.org

The European Social Simulation Association and Warsaw School of
Economics, Division of Decision Analysis and Support, invite
researchers and scholars interested in applications and theoretical
foundations of simulation modeling in social sciences to participate
in the 9th European Social Simulation Association Conference.

The conference aims to provide an interdisciplinary forum for social
scientists, theorists, applied researchers and simulation modelers to
cooperate and exchange ideas concerning state of the art in methods
and applications of computational social sciences.

Submission

        - Full paper - in the length of 10 to 12 pages, which should be
comprehensive and consists of detailed presentation of theory,
methodology and simulation results
        - Extended abstract - in the length of 3 to 4 pages, which presents
the current topic in progress with enough detail to ensure proper
evaluation
        - Poster - should present the current work in progress

* Important dates *
- Registration opens:           1 January 2013
- Paper submission closes:      1 March 2013
- Notification of acceptance:   15 April 2013
- Final manuscript due:         15 May 2013

Paper publication

* Accepted full papers will be published by Springer in the conference
proceedings series "Advances in Intelligent Systems and Computing",
http://www.springer.com/series/11156 (indexed by ISI Proceedings,
DBLP, Ulrich's, EI-Compendex, SCOPUS, Zentralblatt Math, MetaPress,
Springerlink).
* Authors of selected full papers or extended abstracts will be
invited to submit their extended version for special issue of Central
European Journal of Economic Modelling and Econometrics,
http://cejeme.org/ (indexed by IndexCopernicus, IC Value in 2011: 4.85
and RePEc).
* Full paper abstracts, extended abstracts and poster summaries will
be presented on conference website.

* Local organizing committee contact: contact@essa2013.org
* Conference website: http://www.essa2013.org

On behalf of the organizing committee:
Mateusz Zawisza
Warsaw School of Economics

A special session on "Social simulation of science processes" (chaired by Flaminio Squazzoni) has been scheduled at the 9th ESSA conference in Warsaw, Sept 16-20 2013. For info on submission, visit: http://www.essa2013.org

 

Paper: How the Scientific Community Reacts to Newly Submitted Preprints: Article Downloads, Twitter Mentions, and Citations

How the Scientific Community Reacts to Newly Submitted Preprints: Article Downloads, Twitter Mentions, and Citations

Xin Shuai¹, Alberto Pepe^2*, Johan Bollen¹

1 School of Informatics and Computing, Indiana University, Bloomington, Indiana, United States of America, 2 Center for Astrophysics, Harvard University, Cambridge, Massachusetts, United States of America

Abstract

We analyze the online response to the preprint publication of a cohort of 4,606 scientific articles submitted to the preprint database arXiv.org between October 2010 and May 2011. We study three forms of responses to these preprints: downloads on the arXiv.org site, mentions on the social media site Twitter, and early citations 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 one precedes or follows the other. Second, we run regression and correlation tests to investigate the relationship between Twitter mentions, arXiv downloads, and article citations. We find that Twitter mentions and arXiv downloads of scholarly articles follow two distinct temporal patterns of activity, with Twitter mentions having shorter delays and narrower time spans than arXiv downloads. We also find that the volume of Twitter mentions is statistically correlated with arXiv downloads and early citations just months after the publication of a preprint, with a possible bias that favors highly mentioned articles.

http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0047523