Introduction
During the past few years the increasing availability of large-scale datasets that capture activities in scientific publications, patents, grant proposals, sports, enterprises, as well as social media activities has created an unprecedented opportunity to explore patterns underlying success. The take on this important topic can be rather diverse - from exploring citations to influential scientific papers to the emergence of runaway videos on YouTube, from investigating activities such as collaboration that bring success for the team to innovations essential for the success of an enterprise. As such the tools and perspectives vary, involving social scientists, computer scientists, economists, physicists and mathematicians. The results are published in venues with non-overlapping readership.
The Quantifying Success satellite has the aim of bringing together scientists and researchers from different disciplines and giving them the opportunity to present and discuss their recent results, identify open questions and new challenges, and develop common languages for solving problems in the emerging, fascinating field of the "science of success". It will be an opportunity to discuss different, multi- and inter-disciplinary approaches to quantify success across a variety of scientific domains, with a main focus on data-driven methods.
Invited Speakers
Yong-Yeol Ahn
Sameness Attracts, Novelty Disturbs, but Outliers Flourish in Fanfiction Online
Ágnes Horvát
Gendered Collaboration Patterns and Success in Music and Academia
Vito Latora
Predicting Success in Worldwide Start-up Ecosystems
Kristina Lerman
Algorithmic and Cognitive Biases Destabilize the Wisdom of Crowds
Dashun Wang
To fail, or not to fail
Satellite program
Program of the invited talks and accepted papers
Opening
Welcoming for the online Satellite.
Invited Talk Predicting Success in Worldwide Start-up Ecosystems
Vito Latora
Contributed Talk Emergence of reciprocity in research acknowledgement network
Keigo Kusumegi, Yukie Sano
Contributed Talk Predicting collective success from individual behavior
Manuel Sebastian Mariani, Yanina Gimenez, Jorge Brea, Martin Minnoni, René Algesheimer, Claudio Juan Tessone
Contributed Talk Quantifying uses of science beyond science
Yian Yin, Yuxiao Dong, Kuansan Wang, Dashun Wang, Benjamin F. Jones
Invited Talk Gendered Collaboration Patterns and Success in Music and Academia
Agnes Horvath
Coffee break
Invited Talk To fail, or not to fail
Dashun Wang
Contributed Talk Exploration, exploitation and career hot streaks
Lu Liu, Nima Dehmamy, Jillian Chown, C. Lee Giles, and Dashun Wang
Contributed Talk Identification of skill in an online game: The case of Fantasy Premier League
Joseph O'Brien, David O'Sullivan, James Gleeson
Invited Talk Algorithmic and Cognitive Biases Destabilize the Wisdom of Crowds
Kristina Lerman
Invited Talk Sameness Attracts, Novelty Disturbs, but Outliers Flourish in Fanfiction Online
Yong-Yeol Ahn
Final Remarks
Call for contributed talks
(Submissions are closed)
The satellite accepts contributed talks in the form of a 10-minute presentation with slides. Participants are invited to submit via EasyChair an abstract of maximum 1 page in PDF format, specifying title, author(s), affiliation(s) and e-mail address(es). Contributions are evaluated on a rolling base, until all slots are filled up (but no later than July 31st). Please makes sure to submit your abstract soon, if you plan on attending and contributing to the satellite.
Areas of interest include but are not limited to the following focused topics:
- Citation dynamics of papers and patents
- Adoption and success of products and technologies
- Dynamics in social media, such as popularity of hashtags and viral videos
- Career success and longevity in different professions
- Patterns behind normal and successful career in different disciplines
- Prediction of future achievement and career trajectory
- How institutions (e.g., universities) shape scientific production
- Collaborations and team formation in success
- Extinction, evolution and emergence of knowledge
- Analytics of success of sports clubs and players
- Big Data sources for measuring performance and success
- Algorithms for performance ranking
- Patterns of success in visual arts, music and writing
- Performance sensing and analysis
- Data mining for the analysis of performance and success
History
Previous editions of the Quantifying Success
Organizers
Federico Battiston
Central European University (Hungary)
Alexander J. Gates
Northeastern University (USA)
Federico Musciotto
Central European University (Hungary)
Luca Pappalardo
ISTI-CNR (Italy)
Onur Varol
Sabanci University (Turkey)