AN INTRODUCTION TO OPTIMISTIC GRAPH MODELING IN NETWORKING
In layman’s term the function of Graph Modeling in Networking is designed in order to create a matrix of system design for example in a telecommunication or internet connectivity, viral marketing, etc. in sales spreading the word of mouth or creating a good advertisement is the key to sell their products and services but in Networking Graph Modeling is its counterpart. Networking representation requires a very exhaustive interpretation of graphs, algorithm, mathematical equations and other variables in order to understand and create a very optimistic approach upon reading such guidelines that only a programmer or Information Technology Experts may be able to understand such characteristic although the graphical representation and the simplicity or complexity of this networking basic can be interpreted in a simple terms.
The graph modeling in networking in order to have a good representation should be able to generate a realistic approach of network it should be easy to track, easy to manage, readable, it should have a purpose according to its functionality of who will benefit such network program. This in itself is complicated so we are going to use simple terms as much as possible and be able to explain it so that even a non programmer can somehow predict or understand such graphical networking models. We are also going to assume that models are mathematically easy to track, compute and analyze. “Kronecker graph” has been one of the most popular program that can generate a good optimistic representation model of graphs it obeys almost all the command and it does all the hard work of the programmer rather than using other representation which does not guarantee a readable graphs.
The most common function of this graph is represented by the most popular social networking sites like Facebook, Twitter, Myspace, emails even games and other SNS and this has been its most viable function. Kronecker graph and their products create different graphical representation or snapshots degree of distribution which is highly useful and optimistic making it easier to develop more products in an interactive world. The if and then command or what if functions is its main focus that it can generate extrapolation graph simulation where graphs are hard to identify or collect. This means that the graph created by this program can be applicable or compatible even if the network applications are upgraded like Internet Explorer or Mozilla Firefox therefore the program created is absolutely positive because of it futuristic functionality.
Another Graph Generator in networking method is the Small World Generator, and Waxman Generator, this focuses on preferential attachment, both of these nodes are trying to optimize its function and they help the program to continue the connectivity if there are various constraint while running the program for example while using facebook you may experience hanging or slow down. They address the issue of extended connectivity. Usually programmers can experiment from various patterns or formula in order to master the matrix designs however simple or complex they would like to initiate in their programs. There should be a statistical or graphical pattern in order to understand this citation and functionality can be updated in our mind. Take a look at the simple examples of network below and you can understand how graph modeling in networking function intensively during the process. Again the consideration of this graph is designed for basic understanding for both expert and layman so it is easy to understand. Take a look and study the following data below.
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The data shows that data 1 networking graph is a balance relational data that has an equal and non complicated representation that predicts a very optimistic approach of graph model networking and it can be easily described as a very understandable process. The outcome of this graph is a non complicated representation of network and the distribution and channels of information is direct and has a good contact from one user over others. Imagine if you chat with friends while others response differently by adding images and videos such representation is definitely ideal.
On the other hand data 2 seems to have a very complicated networking process but in reality the process of networking is much more complicated in this simple representation because the transfer of data travels fast from one place to another the dimension and sized of such graphic model of network maybe complicated as the system grows. Yahoo, YouTube, Hotmail may say they are unlimited but their free services can even extend their bandwidth in order to distribute more services around the world. If you want to study more of the real advance representation of graphical model networking interface you may check the following websites as a guide; http://www.cs.cmu.edu/~jure/pubs/kronecker-pkdd05.pdf
http://jmlr.csail.mit.edu/papers/volume11/leskovec10a/leskovec10a.pdf
http://en.wikipedia.org/wiki/Bipartite_double_cover
Credit:ivythesis.typepad.com
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