keithmcnulty / ona_book Goto Github PK

Hi Keith,

I think, but am not sure, there is a typo in Chapter 3, in relation to Figure 3.1. The picture below is the text after that figure.

The edge pairs don’t seem to line up with what’s in the graph. In both equations Suraya and Jane are paired twice, and David is never paired with Jane even though they share an edge in the graph.

First and foremost, thank you for this well_researched book. The historical stuff is so interesting and softening complement to the technical part.
I cannot install onadata on my RStudio 4.1.2. If it is possible , similar to your last book's data package peopleanalyticsdata, put this one here so it can be downloaded from github directly.

The warning I encounter:
Installing package into ‘C:/Users/Ali/Documents/R/win-library/4.1’
(as ‘lib’ is unspecified)
Warning in install.packages :
package ‘onadata’ is not available for this version of R

A version of this package for your version of R might be available elsewhere,
see the ideas at
https://cran.r-project.org/doc/manuals/r-patched/R-admin.html#Installing-packages

Essential public services such as the management of sewerage networks is an example of one of the less glamorous fields where graph theory is essential to operational calculations and decisions.

should read "services... are an example"

do you have python code ?

Update "Rememering" to "Remembering"

Hi Keith,

Wondering if there is room in section 7.1.3 or somewhere in chapter 6 that covers gould-fernandez brokerage measures.

In a people analytics context I find them to be a useful step beyond betweenness centrality, as it combines the use cases of betweenness centrality but across boundaries (of course, except for the "coordinator role"). They can be the go-to people in organizational networks for bridging silos, as they already have connections across boundaries and many paths flow through them.

Happy to contribute thinking here and provide example code from the sna package for this.

Update "Rememering" to "Remembering"

Hello Keith,

Great book you have here. Thanks for sharing your knowledge.

The definition offered on bipartite graphs appears to fit more into the description of connected components. Bipartite graphs are graphs whose vertices can be divided into 2 disjoint and independent sets U and V such that every edge connects a vertex in U to one in V (Wikipedia).
The definition provided in the book: Bipartite graphs are graphs that have two disjoint sets of vertices, such that no vertex from one set is connected to any of the vertices in the other set - seems to be contradictory with what a bipartite graph is. For instance, if I have 2 independent vertices, say A and B, and they have no edge between them, by the book's definition, this may qualify as a bipartite graph.
Would you mind shading more light into it?

Thanks.

Hi Keith,

Wondering if there is room to go further in an organizational context for density to look at within-boundary and cross-boundary density metrics (aka Block Density). I find this to be quite useful for diagnosing inadequate levels of collaboration relative to expected values (both from a mathematical definition perspective, but also from an organizational goal setting perspective).

Happy to provide example R code for this.

Errors in the pdf rendering of the book has resulted in some missing edges and nodes in the flights graph in Figures 2.3 and 2.10.

The vertex for Tucson and its associated edges are missing from these figures.

I am attaching corrected versions of the affected PDF pages of the book below, in case book owners want to insert the correct versions. I will make sure that this is fixed in any upcoming reprints.

This does not affect the online books.

corrected_pages_flightsgraph.pdf

It seems https://ona-data.org is down. So, the link in the first blue box of chapter 3 should change to https://ona-book.org/data/koenigsberg.csv.

Hello, Keith!

First of all, congratulations on your new book. You are one of my main inspirations when it comes to People Analytics.

I have this little project where I created a network graph inside the Google Sheets UI. It could be a great solution for quick validations of data sets or first insights about some analysis regarding networks.

I am not sure if this is something that relates to your book, but I thought that would be nice to share with you, specially because graphs are not that easy to find in free online tools (at least, here in Brazil), in other words, this helps who has neither programming skills nor access to softwares such as Power BI. You can input your dataset, and than share it online and for free with another person.

Thank you!

Hi Keith,

What a great initiative. Thanks as always for your contributions.

One way that we've been using graphs / networks in people analytics certainly for the last 5-7 years is via weighted networks of correlations - notably partial correlations. It's a particularly useful technique for understanding relationships between questions / items on traditional employee surveys and, when combined with community detection, can add significant insight. It's one of the first analyses we run when provided with survey data.

The qgraph package in R is one of the earliest and most popular applications and can create and visualise the networks in a few lines of code making it quite accessible.

Andrew