Dear colleagues,
my name is Michael Haenlein and I am Assistant Professor of Marketing at the
ESCP-EAP European School of Management in Paris, France. My question deals with
the spdep package, essentially how I can transform my data into a neighbors
list object.
I am currently working on a research project in the area of social network
analysis for which I would like to use the spdep package to calculate Moran's
I. In this context I have a question regarding a transformation of my input
data into a format suitable for spdep. My social network consisting of roughly
20,000 actors. The data describing this network is stored in an Access database
in two separate tables: The first table includes the relationships between
pairs of actors in the form: Actor1 - Actor 2 -
Measure_of_distance_between_Actor1_and_Actor2. The second table includes
information about each actor in the form: Actor_ID - Variable1 - Variable2 - ...
My objective is to see whether actors that are related to each other tend to
have similarities in one of the variables (e.g. Variable1). I would like to do
this by calculating a "Moran's I" statistic, which in my understanding is
essentially a measure of network autocorrelation. Browsing the Internet, I
found the "spdep package" that seems to be well suited for this task. However,
my issue is that the "spdep package" has initially not been developed for
social network analysis but for spatial statistics. Hence, the problem I'm
having is that I do not know in which format I should import my data into R so
that I can use it within the "spdep package". I am familiar with using R and
know how to generally import data by using the read.csv function. The problem
is that I do not know how I can get my data from above into a "neighbors list"
format.
Does anyone have some experience with the "spdep package" and can point me into
some direction?
Or is there another easier to use tool that I could use to do my "Moran's I"
calculation?
Thanks very much for your help in advance.
I will post a list of all responses received to this question on the list.
Best,
Michael
Michael Haenlein
Professor of Marketing
ESCP-EAP European School of Management
79, Avenue de la République | 75011 Paris | France
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