  This paper revises previous work and introduces changes in spatio-temporal
scales. The paper presents a model that includes layers A and B with varying
degrees of forgetting and dependence over time. We also model changes in
dependence and forgetting in layers A, A', B, and B' under certain conditions.
In addition, to discuss the formation of opinion clusters that have reinforcing
or obstructive behaviors of forgetting and dependence and are conservative or
brainwashing or detoxifying and less prone to filter bubbling, new clusters C
and D that recommend, obstruct, block, or incite forgetting and dependence over
time are Introduction. This introduction allows us to test hypotheses regarding
the expansion of opinions in two dimensions over time and space, the state of
development of opinion space, and the expansion of public opinion. Challenges
in consensus building will be highlighted, emphasizing the dynamic nature of
opinions and the need to consider factors such as dissent, distrust, and media
influence. The paper proposes an extended framework that incorporates trust,
distrust, and media influence into the consensus building model. We introduce
network analysis using dimerizing as a method to gain deeper insights. In this
context, we discuss network clustering, media influence, and consensus
building. The location and distribution of dimers will be analyzed to gain
insight into the structure and dynamics of the network. Dimertiling has been
applied in various fields other than network analysis, such as physics and
sociology. The paper concludes by emphasizing the importance of diverse
perspectives, network analysis, and influential entities in consensus building.
It also introduces torus-based visualizations that aid in understanding complex
network structures.
