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Dear Zhang Lun,
It is my personal opinion that in many cases much more can be learned
from breaking up such a large network into more homogeneous subsets and
analysing the structure and dynamics of the sub-networks.
Best wishes,
Tom
?? wrote:
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> Subject: Questions about modeling the evolution of social network with
> over 30,000 nodes
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> Dear all:
> I currently have a dataset of an online social network with over 30,000
> nodes. I want to use the p* model or Snijders' stochastic actor-based model
> to estimate the evolution of the network. However, the
> current programs (e.g., SIENA) do not allow the input data larger than 1,000
> nodes.
>
> Can anyone give me some advices on the model estimation?
>
> Thanks,
> ZHANG Lun
>
> Dept. Media & Communication,
> City University of Hong Kong
>
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> Dear all:=A0<div>I currently have a dataset of an online social network wit=
> h over 30,000 nodes. I want to use the p* model or Snijders' stochastic=
> actor-based model to estimate the evolution of the network. However, the c=
> urrent=A0programs=A0(e.g., SIENA) do not allow the input data larger than 1=
> ,000 nodes.=A0</div>
> <div><br></div><div>Can anyone give me some advices on the model estimation=
> ?=A0</div><div><br></div><div>Thanks,=A0</div><div>ZHANG Lun</div><div><br>=
> </div><div>Dept. Media & Communication,</div><div>City University of Ho=
> ng Kong</div>
> <div><br></div>
> _____________________________________________________________________
> SOCNET is a service of INSNA, the professional association for social
> network researchers (http://www.insna.org). To unsubscribe, send
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> --0015175cd2d07d759b04973691a9--
--
================================================
Tom A.B. Snijders
Professor of Statistics in the Social Sciences
University of Oxford
Professor of Statistics and Methodology
Department of Sociology, University of Groningen
for addresses and telephone numbers: see
http://stat.gamma.rug.nl/snijders/
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