  The complexity of human behaviour can lead to very unpredictable patterns in
social activity and structure. Here we demonstrate the instability of a
community network controlled by majority ruling, where an element adopts the
most popular opinion of their peers. We modelled a community as a square
lattice, and performed sequential time step numerical calculations upon each
cell in parallel. Depending on the initial ratio of two opinions, the community
can segregate either into separate gangs and cliques, or get dominated by a
single opinion. We also note that gangs are separated by neutral or confused
groups of individuals, buffering the transition. The behaviors shown by this
model can be comfortably applied to many other real life situations, such as
neural or ecological networks. The results of this paper have been preliminary
published in the Ref. [34].
