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Barry Wellman
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FRSC INSNA Founder University of Toronto
http://www.chass.utoronto.ca/~wellman twitter: @barrywellman
NETWORKED:The New Social Operating System. Lee Rainie & Barry Wellman
MIT Press http://amzn.to/zXZg39 Print $14 Kindle $9
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Date: Mon, 4 May 2015 11:02:10 +0000
From: "[utf-8] Complexity Digest" <[log in to unmask]>
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To: "[utf-8] Barry" <[log in to unmask]>
Subject: [utf-8] Latest Complexity Digest Posts
Learn about the latest and greatest related to complex systems research. More at http://comdig.unam.mx?utm_source=Complexity+Digest&utm_campaign=1dcda7bd06-RSS_EMAIL_CAMPAIGN&utm_medium=email&utm_term=0_f55ea67de1-1dcda7bd06-67211033
Twitter-based analysis of the dynamics of collective attention to political parties
Large-scale data from social media have a significant potential to describe complex phenomena in real world and to anticipate collective behaviors such as information spreading and social trends. One specific case of study is represented by the collective attention to the action of political parties. Not surprisingly, researchers and stakeholders tried to correlate parties' presence on social media with their performances in elections. Despite the many efforts, results are still inconclusive since this kind of data is often very noisy and significant signals could be covered by (largely unknown) statistical fluctuations.
In this paper we consider the number of tweets (tweet volume) of a party as a proxy of collective attention to the party, we identify the dynamics of the volume, and show that this quantity has some information on the elections outcome. We find that the distribution of the tweet volume for each party follows a log-normal distribution with a positive autocorrelation over short terms. Furthermore, by measuring the ratio of two consecutive daily tweet volumes, we find that the evolution of the daily volume of a party can be described by means of a geometric Brownian motion. Finally, we determine the optimal period of averaging tweet volume for reducing fluctuations and extracting short-term tendencies. We conclude that the tweet volume is a good indicator of parties' success in the elections when considered over an optimal time window. Our study identifies the statistical nature of collective attention to political issues and sheds light on how to model the dynamics of
collective attention in social media.
Twitter-based analysis of the dynamics of collective attention to political parties
Young-Ho Eom, Michelangelo Puliga, Jasmina Smailovi˙˙, Igor Mozeti˙˙, Guido Caldarelli
http://arxiv.org/abs/1504.06861?utm_source=Complexity+Digest&utm_campaign=1dcda7bd06-RSS_EMAIL_CAMPAIGN&utm_medium=email&utm_term=0_f55ea67de1-1dcda7bd06-67211033
See it on Scoop.it (http://www.scoop.it/t/papers/p/4042430202/2015/04/28/twitter-based-analysis-of-the-dynamics-of-collective-attention-to-political-parties?utm_source=Complexity+Digest&utm_campaign=1dcda7bd06-RSS_EMAIL_CAMPAIGN&utm_medium=email&utm_term=0_f55ea67de1-1dcda7bd06-67211033) , via Papers (http://www.scoop.it/t/papers?utm_source=Complexity+Digest&utm_campaign=1dcda7bd06-RSS_EMAIL_CAMPAIGN&utm_medium=email&utm_term=0_f55ea67de1-1dcda7bd06-67211033)
Summer Solstice International Conference on Discrete Models of Complex Systems
The aim of this conference is to bring together researchers from around the world working on discrete modeling of complex systems and analysis of their dynamics. The objective of this conference is to provide a forum for exchange of ideas, presentation of results of current research and to discuss potential future directions and developments in the field of discrete modeling of complex systems and analysis of their dynamics from methodological and phenomenological point of view. The conference will cover both theoretical and applied research. It will focus on discrete modeling methodologies and their applications to analysis across different scales of dynamics of complex systems.
The 2015 Summer Solstice Conference topics include, but are not limited to, the following:
˙˙ Challenges, benefits and theory of modeling and simulation of complex systems using cellular automata, lattice gas cellular automata, multi-agent based models, complex networks
˙˙ Discrete models in biology and medicine
˙˙ Discrete models in economy and social sciences
˙˙ Discrete models of man made complex systems from nanotechnology to information networks
˙˙ Tools of analysis of dynamics and multiscale phenomena of discrete models of complex systems
There will be sessions of contributed presentations. The organizers reserve the right to assign contributed presentation as oral or poster. The Post Conference Proceedings are planned and all conference presenters will be invited to submit a paper for publication in the Proceedings. All submissions will be peer-reviewed.
2015 Summer Solstice
7th International Conference on Discrete Models of Complex Systems
June 17-19, 2015, The Fields Institute, Toronto, Ontario, Canada
http://www.fields.utoronto.ca/programs/scientific/14-15/complexsys15/?utm_source=Complexity+Digest&utm_campaign=1dcda7bd06-RSS_EMAIL_CAMPAIGN&utm_medium=email&utm_term=0_f55ea67de1-1dcda7bd06-67211033
See it on Scoop.it (http://www.scoop.it/t/cxconferences/p/4042410839/2015/04/28/summer-solstice-international-conference-on-discrete-models-of-complex-systems?utm_source=Complexity+Digest&utm_campaign=1dcda7bd06-RSS_EMAIL_CAMPAIGN&utm_medium=email&utm_term=0_f55ea67de1-1dcda7bd06-67211033) , via CxConferences (http://www.scoop.it/t/cxconferences?utm_source=Complexity+Digest&utm_campaign=1dcda7bd06-RSS_EMAIL_CAMPAIGN&utm_medium=email&utm_term=0_f55ea67de1-1dcda7bd06-67211033)
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