First global analysis of human birth-rate cycles reveals that post-holiday ‘baby boom’ persists across cultures, hemispheres. CNetS PhD student Ian Wood and Professors Luis Rocha and Johan Bollen, in collaboration with Joana Sá, used data science and computational social science methods to demonstrate that “Human Sexual Cycles are Driven by Culture and Match Collective Moods.” See full article at IU News and media coverage in many venues such as The Independent, Time, Newsweek, Publico, ScienceDaily, Phys.org, The National Post, DailyMail, The Hindustan Times, Men’s Fitness, Mother Jones, Drive with Yasmeen Khan (at 17:30) (audio of interview), etc. Discussion of the paper was a top trending topic on Reddit. Watch a short video about the research.
“On the last Friday of each month, instead of heading home to their families after the weekly School of Informatics, Computing and Engineering faculty meeting, professors Luis Rocha and Johan Bollen head to the Root Cellar Lounge and become DJ E-Trash and DJ Angst. […] Both Bollen and Rocha are considered experts in the field of complex networks and systems, and they agree that when they DJ, they are part of just the kind of complex systems they study”. See full article at IU News.
Big success for CNetS researchers at the Conference on Complex Systems (CCS’15)! Here are the accepted talks from our center:
- Computational fact checking from knowledge networks by Giovanni Luca Ciampaglia, Prashant Shiralkar, Johan Bollen, Luis M Rocha, Filippo Menczer and Alessandro Flammini
- Control of complex networks requires structure and dynamics by Alexander Gates and Luis M. Rocha
- Darwin’s Semantic Voyage by Jaimie Murdock, Simon DeDeo, and Colin Allen
- Defining and Identifying Sleeping Beauties in Science by Qing Ke, Emilio Ferrara, Filippo Radicchi and Alessandro Flammini
- Detecting conflict in social unrest using Instagram* by Rion Brattig Correia, Kwan Nok Chan and Luis M. Rocha
- Detecting Campaigns in Social Media by Onur Varol, Emilio Ferrara, Filippo Menczer and Alessandro Flammini
- Discourse Polarization in the US Congress by Rion Brattig Correia, Kwan Nok Chan and Luis M. Rocha
- Eigenmood Twitter Analysis: measuring collective mood variation by Ian B. Wood, Joana Gonçalves-Sá, Johan Bollen and Luis M. Rocha
- Evolution of Online User Behavior During a Social Upheaval by Onur Varol, Emilio Ferrara, Christine Ogan, Filippo Menczer and Alessandro Flammini
- How human perception of the urban environment influences the abandonment process by Stefani Crabstree, Simon DeDeo
- Information theoretic structures of the French Revolution by Alexander Barron, Simon DeDeo, and Rebecca Spang
- Measuring Emotional Contagion in Online Social Networks by Zeyao Yang, Emilio Ferrara
- Modularity and the Spread of Perturbations in Complex Dynamical Systems* by Artemy Kolchinsky, Alexander J. Gates and Luis M. Rocha
- On Predictability of Rare Events Leveraging Social Media by Lei Le, Emilio Ferrara and Alessandro Flammini
- Optimal network modularity for information diffusion by Azadeh Nematzadeh, Emilio Ferrara, Alessandro Flammini and Yong-Yeol Ahn
- Redundancy and control in complex networks by Luis M. Rocha
- The Rise of Social Bots in Online Social Networks by Emilio Ferrara, Onur Varol, Prashant Shiralkar, Clayton Davis, Filippo Menczer and Alessandro Flammini
Simon DeDeo will also deliver one of the plenary talks. *Denotes papers “starred”, or designated as especially worthwhile by the CCS15 program committee.
University and industry scientists are determining how to forecast significant societal events, ranging from violent protests to nationwide credit-rate crashes, by analyzing the billions of pieces of information in the ocean of public communications, such as tweets, web queries, oil prices, and daily stock market activity.
“We are automating the generation of alerts, so that intelligence analysts can focus on interpreting the discoveries rather than on the mechanics of integrating information,” said Naren Ramakrishnan, the Thomas L. Phillips Professor of Engineering in the computer science department at Virginia Tech. He is leading the team of computer scientists and subject-matter experts from Virginia Tech, the University of Maryland, Cornell University, Children’s Hospital of Boston, San Diego State University, University of California at San Diego, and Indiana University, and from the companies, CACI International Inc., and Basis Technology.
CNetS Professors Bollen and Rocha from the School of Informatics and Computing at Indiana University are members of this project. Prof. Bollen, has devised a way to evaluate the tone of tweets – calm, alert, vital, etc. — to predict stock market trends. Prof. Rocha, has developed bio-inspired methods to predict associations in biochemical, social, and knowledge networks, including web and e-mail systems.
Additional details: Researchers study new ways to forecast critical societal events.