what-when-how
In Depth Tutorials and Information
time lapse factor intercorrelate with the dynamic social network because those
factors create a dynamic probability model that could be used to predict a user's
behavior.
After discussing dynamic social networks and how they relate to the proba-
bilistic model, we have learned that large-scale networks go hand in hand with
dynamic networks as well. his is because dynamic social networks measure on a
rather large scale. Formal mathematical and computational theories were needed
in conjunction with methods of designing from an analytical viewpoint of large
dynamic networks.
By systematically understanding small-world models, one could evaluate the
simplicity of the short chain between acquaintances. We also derived two positive
outcomes from Milgram's experiments. he irst was that these links between two
people actually exist, and the second that people could actually find the connection
while not knowing a lot about their target person.
While studying large-scale models and how they relate to dynamic social net-
works, we have found that simulation-based methods are both necessary and suf-
ficient for understanding the dynamics of complex systems. From this model we
have successfully studied transition theory and how it helps the large-scale model
to be applied to different systems.
References
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