How Can We Optimize Twitter Network Construction Using SmartPLS?

[Paul84]

I explored ways to optimize Twitter network building and discovered some interesting methods like on this page. Although SmartPLS is commonly used for various types of structural equation modeling, I wonder how effectively it can be applied to the analysis and construction of complex Twitter networks.
Given the dynamic and interactive nature of Twitter, how can we leverage SmartPLS to identify key influencers and the strength of connections within the network? Is there a specific approach or set of parameters within SmartPLS that would improve our understanding of these social interactions?
Furthermore, how can we manage the large volume of data generally associated with social networks on Twitter? Are there any best practices or tips for preprocessing and managing such datasets to ensure the robustness of our PLS-SEM models?

Looking forward to hearing your ideas and experiences on this topic.

[nina7]

Hello,

I'm interested too by opinions to optimize Twitter using SmartPLS.

[deafame]

Use bootstrapping methods available in SmartPLS to validate your model. This involves running multiple iterations to assess the stability of your results and ensuring that your path coefficients are statistically significant.