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The proliferation of online communities has created exciting opportunities to study the mechanisms that explain group success. While a growing body of research investigates community success through a single measure -- typically, the number…

Social and Information Networks · Computer Science 2019-03-20 Tiago Cunha , David Jurgens , Chenhao Tan , Daniel Romero

Much of economic theory is built on observations of aggregate, rather than individual, behavior. Here, we present novel findings on human shopping patterns at the resolution of a single purchase. Our results suggest that much of our…

Computers and Society · Computer Science 2013-04-23 Coco Krumme , Manuel Cebrian , Alex Pentland

Can we predict the future popularity of a song, movie or tweet? Recent work suggests that although it may be hard to predict an item's popularity when it is first introduced, peeking into its early adopters and properties of their social…

Social and Information Networks · Computer Science 2016-04-01 Benjamin Shulman , Amit Sharma , Dan Cosley

The puzzling idea that the combination of independent estimates of the magnitude of a quantity results in a very accurate prediction, which is superior to any or, at least, to most of the individual estimates is known as the wisdom of…

Applications · Statistics 2021-05-26 Sandro M. Reia , José F. Fontanari

Human groups can perform extraordinary accurate estimations compared to individuals by simply using the mean, median or geometric mean of the individual estimations [Galton 1907, Surowiecki 2005, Page 2008]. However, this is true only for…

Social and Information Networks · Computer Science 2014-07-01 Gonzalo De Polavieja , Gabriel Madirolas

We consider hundreds of thousands of individual economic transactions to ask: how predictable are consumers in their merchant visitation patterns? Our results suggest that, in the long-run, much of our seemingly elective activity is…

Physics and Society · Physics 2013-05-07 Coco Krumme , Alejandro Llorente , Manuel Cebrián , Alex , Pentland , Esteban Moro

Collective intelligence, which aggregates the shared information from large crowds, is often negatively impacted by unreliable information sources with the low quality data. This becomes a barrier to the effective use of collective…

Social and Information Networks · Computer Science 2012-10-04 Guo-Jun Qi , Charu Aggarwal , Pierre Moulin , Thomas Huang

The dynamics of individuals is of essential importance for understanding the evolution of social systems. Most existing models assume that individuals in diverse systems, ranging from social networks to e-commerce, all tend to what is…

Physics and Society · Physics 2017-02-22 Matus Medo , Manuel S. Mariani , An Zeng , Yi-Cheng Zhang

Generating models from large data sets -- and determining which subsets of data to mine -- is becoming increasingly automated. However choosing what data to collect in the first place requires human intuition or experience, usually supplied…

Computers and Society · Computer Science 2014-05-20 Josh C. Bongard , Paul D. H. Hines , Dylan Conger , Peter Hurd , Zhenyu Lu

Whether, and under what conditions, groups exhibit "crowd wisdom" has been a major focus of research across the social and computational sciences. Much of this work has focused on the role of social influence in promoting the wisdom of the…

Social and Information Networks · Computer Science 2021-05-03 Abdullah Almaatouq , M. Amin Rahimian , Jason W. Burton , Abdulla Alhajri

The provision of information can improve individual judgments but also fail to make group decisions more accurate; if individuals choose to attend to the same information in the same manner, the predictive diversity that enables crowd…

General Economics · Economics 2025-12-29 Jon Atwell , Marlon Twyman

Groups coordinate more effectively when individuals are able to learn from others' successes. But acquiring such knowledge is not always easy, especially in real-world environments where success is hidden from public view. We suggest that…

We investigate the predictability of successful memes using their early spreading patterns in the underlying social networks. We propose and analyze a comprehensive set of features and develop an accurate model to predict future popularity…

Social and Information Networks · Computer Science 2014-06-02 Lilian Weng , Filippo Menczer , Yong-Yeol Ahn

How predictable is success in complex social systems? In spite of a recent profusion of prediction studies that exploit online social and information network data, this question remains unanswered, in part because it has not been adequately…

Social and Information Networks · Computer Science 2016-02-03 Travis Martin , Jake M. Hofman , Amit Sharma , Ashton Anderson , Duncan J. Watts

The wisdom of crowds is the idea that the combination of independent estimates of the magnitude of some quantity yields a remarkably accurate prediction, which is always more accurate than the average individual estimate. In addition, it is…

Information Theory · Computer Science 2020-12-29 Davi A. Nobre , José F. Fontanari

Predicting future consumer behaviour is one of the most challenging problems for large scale retail firms. Accurate prediction of consumer purchase pattern enables better inventory planning and efficient personalized marketing strategies.…

Machine Learning · Computer Science 2020-10-15 Ankur Verma

Economies are instances of complex socio-technical systems that are shaped by the interactions of large numbers of individuals. The individual behavior and decision-making of consumer agents is determined by complex psychological dynamics…

Computers and Society · Computer Science 2015-08-19 Xianlei Dong , Johan Bollen

Wisdom of crowds refers to the phenomenon that the aggregate prediction or forecast of a group of individuals can be surprisingly more accurate than most individuals in the group, and sometimes - than any of the individuals comprising it.…

Social and Information Networks · Computer Science 2012-04-17 Pavlin Mavrodiev , Claudio J. Tessone , Frank Schweitzer

What people buy is an important aspect or view of lifestyles. Studying people's shopping patterns in different urban regions can not only provide valuable information for various commercial opportunities, but also enable a better…

Social and Information Networks · Computer Science 2017-01-24 Tianran Hu , Ruihua Song , Yingzi Wang , Xing Xie , Jiebo Luo

Wisdom of the crowd, the collective intelligence derived from responses of multiple human or machine individuals to the same questions, can be more accurate than each individual, and improve social decision-making and prediction accuracy.…

Machine Learning · Statistics 2021-10-29 Lingfei Wang , Tom Michoel
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