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There is also an earlier excellent book by Pat Doreian, also see the
thesis by Ian McCulloh at CMU (which you can get by inter-library loan).
Doreian, Patrick, and Frans N. Stokman, eds. Evolution of social
networks. Vol. 1. Psychology Press, 1997.
McCulloh, Ian. Detecting changes in a dynamic social network. Diss.
Carnegie Mellon University, 2009.
---
See also these
McCulloh, Ian, and Kathleen M. Carley. "Social network change
detection." (2008).
McCulloh, Ian, and Kathleen M. Carley. "Longitudinal dynamic network
analysis: using the over time viewer feature in ora." (2009).
(note change detection is available in ORA, as are a number of other
longitudinal techniques)
On 7/21/2017 9:22 AM, Thomas Ball wrote:
> ***** To join INSNA, visit http://www.insna.org *****
> Gloria-
>
> In all likelihood, the canonical resource for longitudinal network
> analysis is that of Tom Snijders at Oxford
> (https://www.stats.ox.ac.uk/~snijders/siena/) as well as his students
> such as Christian Stadtfeld now at ETHZ
> (https://www.uni-konstanz.de/universitaet/aktuelles-und-medien/oeffentliche-veranstaltungen/veranstaltungen/veranstaltungsdetails/2017/1/31/event/23366-Christoph-Stadtfeld-Zric/tx_cal_phpicalendar/).
>
>
> I hesitate in calling this work 'seminal,' although it is in the
> context of network literature, because it's strongly related to earlier
> work done in psychometrics on multimode principal components such as
> PARAFAC (e.g., this tutorial,
> https://www.cs.cmu.edu/~pmuthuku/mlsp_page/lectures/Parafac.pdf), Pieter
> Kroonenberg's book /Three-mode Principal Component Analysis/ and his
> 'Three Mode Company' (http://three-mode.leidenuniv.nl/), Ledyard
> Tucker's original decompositions of the data cube
> (https://en.wikipedia.org/wiki/Tucker_decomposition) as well as the work
> of many scholars in longitudinal multidimensional scaling and the
> methods they developed to decompose matrices enabling dynamic analysis
> (e.g., https://en.wikipedia.org/wiki/Multidimensional_scaling) including
> J.D. Carroll, William Kruskal, Wayne DeSarbo or Forrest Tucker's ALSCAL
> -- the original alternating-least squares algorithm which continues to
> see wide use today by machine learning enthusiasts.
>
> Thomas Ball
>
> On Fri, Jul 21, 2017 at 8:24 AM, Gloria Alvarez <[log in to unmask]
> <mailto:[log in to unmask]>> wrote:
>
> ***** To join INSNA, visit http://www.insna.org *****
>
> Hi,
>
> I am researching about longitudinal social networks and some
> questions came up
>
> 1) In terms of epistemology, which is the difference between
> "dynamic social network" and "longitudinal social network". Does it
> come from the approach? ie. Longitudinal looks
> associated with time-based approach and dynamic with "actor-based"
> models? From different terminology across different disciplines? others?
>
> 2) Is there any common framework that synthesizes all different
> longitudinal/dynamic models/approaches? I found some in Wasserman &
> Faust, McCulloh & Carley, Holme & Saramäki,... but I have problems
> to located some models in those classifications and I also find
> difficult the differences between disciplines approach (social
> science, physics, computer science...).
>
> Thanks very much in advance for your support and have a nice weekend,
>
> Gloria
>
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