… Other works use generative probabilistic modeling which considers both contents and links
… model of the terms used by Twitter accounts and are more focused on similarity discovery …

… a probabilistic model called ErLinkTopic that is an extension of the rLinkTopic model developed
… A probabilistic model is developed to discover communities in each snapshot, which is …

… to promote strong relationships and participation among the members in e-communities. …
This research also discovered perceived trust as a vital virtual world element. Managers and …

… probabilistic models have been applied to fuse content analysis and link analysis in a unified
framework. Examples include generative models that combine a generative linkage model …

… to inform the seamless integration of community discovery … LCTA [79] is a probabilistic
model for latent community topic … It is based on a Bayesian probabilistic model of communities …

… model package was implemented to create the probabilities … were used for topic modeling
to discover latent topic patterns … topic modeling using LDA, the LDA topic modeling algorithm …

… LDA is a generative probabilistic model where documents are random mixtures … probability
of being selected. Chinese restaurant process is being used extensively in topic modeling. …

… This chapter includes a discussion of Network Kansas E-Communities and how they represent
a local entrepreneurship ecosystem building strategy, the research methodology, and the …

… LSM models the edge probability using a parameter representing the latent position of a
node, the LPCM introduces the hierarchical structure of the spherical Gaussian mixture model …

… Therefore, researchers have been exploring ways to leverage information diffusion for …
So, even if seed community C 1 is closely connected with seed community C 2 , the probability …