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The price of complexity in financial networks

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, August 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

news
3 news outlets
twitter
105 tweeters
facebook
1 Facebook page
wikipedia
2 Wikipedia pages
googleplus
3 Google+ users
reddit
1 Redditor

Readers on

mendeley
103 Mendeley
citeulike
2 CiteULike
Title
The price of complexity in financial networks
Published in
Proceedings of the National Academy of Sciences of the United States of America, August 2016
DOI 10.1073/pnas.1521573113
Pubmed ID
Authors

Stefano Battiston, Guido Caldarelli, Robert M. May, Tarik Roukny, Joseph E. Stiglitz

Abstract

Financial institutions form multilayer networks by engaging in contracts with each other and by holding exposures to common assets. As a result, the default probability of one institution depends on the default probability of all of the other institutions in the network. Here, we show how small errors on the knowledge of the network of contracts can lead to large errors in the probability of systemic defaults. From the point of view of financial regulators, our findings show that the complexity of financial networks may decrease the ability to mitigate systemic risk, and thus it may increase the social cost of financial crises.

Twitter Demographics

The data shown below were collected from the profiles of 105 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Switzerland 2 2%
Netherlands 2 2%
Russian Federation 1 <1%
Germany 1 <1%
Brazil 1 <1%
Luxembourg 1 <1%
Unknown 92 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 35%
Researcher 21 20%
Other 11 11%
Professor 8 8%
Student > Master 7 7%
Other 20 19%
Readers by discipline Count As %
Economics, Econometrics and Finance 37 36%
Unspecified 13 13%
Physics and Astronomy 12 12%
Agricultural and Biological Sciences 7 7%
Computer Science 6 6%
Other 28 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 101. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 July 2018.
All research outputs
#115,787
of 11,455,553 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#2,927
of 74,924 outputs
Outputs of similar age
#6,207
of 259,127 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#123
of 945 outputs
Altmetric has tracked 11,455,553 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 74,924 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.7. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 259,127 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 945 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.