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Published in: Applied Network Science 1/2020

Open Access 01-12-2020 | Correction

Correction to: The weakness of weak ties for novel information diffusion

Author: Jennifer M. Larson

Published in: Applied Network Science | Issue 1/2020

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Notes
The original article can be found online at https://​doi.​org/​10.​1007/​s41109-017-0034-3
Correction to: Appl Netw Sci (2017) 2: 14
https://doi.org/10.1007/s41109-017-0034-3
Following publication of the original article (Larson Applied Network Science 2017), the author reported to publish a brief corrigendum in the original article;
Corrigendum to “The Weakness of Weak Ties for Novel
Information Diffusion”
Jennifer M. Larson
January 4, 2020
In Larson (2017), I erroneously implied that it was the first article to formally account for the lower capacity of weak ties for information transmission. Unbeknownst to me, Aral and Van Alstyne (2011) did so previously. Aral and Van Alstyne (2011) begins with the same premise that weak ties would likely transmit information less well and less often, and also develops a model to examine when and to what extent weak ties may be impediments to the spread of information. In multidisciplinary research areas such as network science, the onus is on the researcher to search broadly for related work and give due credit.
In Aral and Van Alstyne (2011), the authors consider a context of distributed knowledge and consider whether weak ties are best for accessing a diverse set of information quickly. They find that because strong ties transmit so much more information, under reasonable conditions weak ties are in fact not best for quick access to a diverse portfolio of information. I take up a different information environment, one meant to capture a situation in which brand new, unexpected news becomes available and can be shared or withheld at the discretion of those who learn it. My focus is on the reach of new news, not the diversity of information that a person can acquire. I account for the lower capacity of weak ties (as in Aral and Van Alstyne (2011)) and also the limited opportunities that a person may have to communicate with her social contacts. The latter starkly differentiates the two models and generates the surprising result that even adding weak ties to a given network without deleting or replacing ties can strictly reduce the extent of information diffusion.
The novelty of this article is not in the suggestion that weak ties transmit information less well than strong ties, but in the particular set of assumptions that accounts for this quality in a supplydriven information enviornment, and in identifying the conditions under which adding new, weak ties to the ties already in a network (and so increasing the total number of ties) makes information transmission strictly worse.
References
Aral, Sinan and Marshall Van Alstyne. 2011. “The diversity-bandwidth trade-off.” American Journal of Sociology 117(1):90–171
Larson, Jennifer M. 2017. “The weakness of weak ties for novel information diffusion.” Applied network science 2(1):14
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Metadata
Title
Correction to: The weakness of weak ties for novel information diffusion
Author
Jennifer M. Larson
Publication date
01-12-2020
Publisher
Springer International Publishing
Published in
Applied Network Science / Issue 1/2020
Electronic ISSN: 2364-8228
DOI
https://doi.org/10.1007/s41109-020-0253-x

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