Hexbyte  Hacker News  Computers The universal decay of collective memory and attention

Hexbyte Hacker News Computers The universal decay of collective memory and attention

Hexbyte Hacker News Computers

Abstract

Collective memory and attention are sustained by two channels: oral communication (communicative memory) and the physical recording of information (cultural memory). Here, we use data on the citation of academic articles and patents, and on the online attention received by songs, movies and biographies, to describe the temporal decay of the attention received by cultural products. We show that, once we isolate the temporal dimension of the decay, the attention received by cultural products decays following a universal biexponential function. We explain this universality by proposing a mathematical model based on communicative and cultural memory, which fits the data better than previously proposed log-normal and exponential models. Our results reveal that biographies remain in our communicative memory the longest (20–30 years) and music the shortest (about 5.6 years). These findings show that the average attention received by cultural products decays following a universal biexponential function.

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Data availability

The data sets from the APS, analysed during the current study, are available in the APS Data Sets for Research repository, under request: https://journals.aps.org/datasets. The data sets of the USPTO, analysed during the current study, are available in the NBER repository: http://www.nber.org/patents/. The data sets for songs, movies and biographies generated and analysed during the current study are available from the corresponding authors upon reasonable request.

Additional information

Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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                                        Acknowledgements

                                        C.C. and C.R.-S. acknowledge financial support from Centro de Investigación en Complejidad Social and Universidad del Desarrollo. C.J.-F. and C.A.H. acknowledge support from the MIT Media Lab Consortia. The authors thank F. Pinheiro, T. Roukny, G. Castro-Dominguez, the Centro de Investigación en Complejidad Social, the Collective Learning Group at the MIT Media Lab and the Center for Complex Network Research at Northeastern University for the helpful insights and discussions. The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.

                                        Author information

                                        Affiliations

                                        1. Collective Learning Group, The MIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA

                                          • Cristian Candia
                                          • , C. Jara-Figueroa
                                          •  & César A. Hidalgo
                                        2. Network Science Institute, Northeastern University, Boston, MA, USA

                                          • Cristian Candia
                                          •  & Albert-László Barabási
                                        3. Centro de Investigación en Complejidad Social (CICS), Facultad de Gobierno, Universidad del Desarrollo, Santiago, Chile

                                          • Cristian Candia
                                          •  & Carlos Rodriguez-Sickert

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                                        Contributions

                                        C.C., C.A.H. and A.-L.B. contributed to the study conception and design, interpretation of data and drafting of the manuscript. C.C. and C.J.-F. contributed to the acquisition of data, data analysis, modelling and drafting of the manuscript. C.R.-S. contributed to study conception and design, and interpretation of data.

                                        Competing interests

                                        The authors declare no competing interests.

                                        Corresponding authors

                                        Correspondence to
                                        Cristian Candia or César A. Hidalgo.

                                        Supplementary information

                                        1. Supplementary Information

                                          Supplementary Methods, Supplementary Figures 1–13, Supplementary Model, Supplementary Notes 1–4, Supplementary Tables 1–3, Supplementary Discussion, Supplementary References

                                        2. Reporting Summary

                                        3. Supplementary Software.

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                                        https://doi.org/10.1038/s41562-018-0474-5