PONE-D-20-29865

Surname affinity in Santiago, Chile: A network-based approach that uncovers urban segregation

PLOS ONE

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Academic Editor

PLOS ONE

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Additional Editor Comments (if provided):

Bro and Mendoza do a great job of describing the surname relationships among the population of Santiago, the links with urban distribution and segregation, and with SES. Still, the paper falls short on the interpretation of its findings, and, while the conclusion hints to future analyses, some are needed in this paper. Just two examples:

* Why two Mapuche paternal-maternal surname clusters?

* Why the rich have more diverse surnames? It seems that the upper class contains different ethnic groups, and I suggest that the non-Chilean reader needs some context on how the richer Santiagoans have such diverse backgrounds. It could be contrasted with the also surname-diverse upper SES class in Spain, which forced diversity by seeking to differentiate their surnames from those of the commoners (Collado et al., investigaciones económicas. vol. XXXII (3), 2008, 259-287)

A few lesser issues:

* l. 60: How was SES transformed into a 0-100 range? Please provide the equation used

* l. 171-172: please add a table or graph with the mean and sd of the SES values per surname cluster

* l. 174-181 and Fig. 9: I was wondering whether 1830, which is the start point of the political analysis, precedes the arrival of some migrant groups, and thus may be biased against them

English:

* l. 84 sensitivity -> sensitive

* l. 92 this type's networks -> the networks of this type

* l. 97 similar number -> similar numbers

* l. 99 choose -> chose

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

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Reviewer #1: Yes

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2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

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Reviewer #1: Yes

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Reviewer #1: Yes

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Reviewer #1: I think this is a well written and well presented paper. Data, methods and analysis are clearly set out and results are nicely presented. I only have one comment regarding Figure 2 - I assumed this was based on a Kernel Density Estimation, the results of which can be highly variable depending on the input parameters. I think these need to be consistent across the maps (I'm not sure if this is presently the case) and articulated. The color ramp is also problematic since it can exaggerate some parts of the distribution and is not color blind friendly. Take a look at colorbrewer.org for alternatives. You might also consider a more straightforward representation such as cell counts to show the same information.

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Reviewer #1: No

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Surname affinity in Santiago, Chile: A network-based approach that uncovers urban segregation

PONE-D-20-29865R1

Dear Dr. Mendoza,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

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Kind regards,

Francesc Calafell

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments: