deletions | additions       diff --git a/1 Introduction.tex b/1 Introduction.tex  index b8d4029..f3038e1 100644  --- a/1 Introduction.tex  +++ b/1 Introduction.tex 
...
Major drawback in each of the foregoing works is that the nodal positions remain arbitrary and exhibit no meaningful “natural encoding”. Some of the proposed researches explain the algorithm for bus positioning but none of these methods locate position nodes in a plot which is electrically meaningful. Visual presentation of any two nodes with a size variance are likely to be perceived as change in their values and if plotted in close proximity then it’s perceived as in the same group or cluster [10]. This paper illustrates different methods and explains the effects of graph layout on human sociogram perception. Random positioning of nodes to layout a simplified one line diagram may generate a wrong impression like low centrality node as a center node or an isolated sub network as a well-connected network.  This paper points out and corrects these errors re-engineers power system network for a new methodology  by scaling the branch which corresponds to its admittance. One of the methodologies is “Force Directed layout algorithm and Edge weighted  spring embedded algorithm” layout”  which can achive generate electrically meaningful layout of power system network [11][12][13]. In [11][13], This paper proposes a fast convergence with high quality assurance of layout significantly. In [12], this paper introduces an edge length proportional to weight on the graph edges.