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IJMIEOctober 2012Volume 2, Issue 10ISSN: 22490558___ Graph Models for Network Development in PRI System Sanjay Kumar Pal* Aditi Debnath** Samar Sen Sarma***___ Abstract: In computer science many graph
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01
Identify the nodes in your network, which represent the entities you want to model.
02
Determine the edges that connect these nodes, representing the relationships or interactions between them.
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Create a list of all the nodes and edges to ensure you capture every relevant element in the network.
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Assign any attributes or properties to the nodes and edges, such as weights, types, or labels that provide more context.
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Use a graph visualization tool or software to create a visual representation of the graph model.
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Validate the model by checking for completeness and correctness in the relationships and connections.
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Document your graph model by noting any assumptions and the reasoning behind your choices.

Who needs graph models for network?

01
Data scientists and analysts who analyze network data.
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Software developers designing applications that use network structures.
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Business analysts evaluating communication or supply chain networks.
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Researchers in fields such as sociology, biology, and computer science studying complex systems.
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Security professionals assessing network vulnerabilities and attack vectors.
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Graph models for networks are mathematical representations used to illustrate and analyze the structure of networks, comprising nodes (representing entities) and edges (representing relationships between those entities).
Entities that operate within regulated networks, such as telecommunications or transportation, are typically required to file graph models for the network, ensuring compliance with regulatory standards.
To fill out graph models for networks, one must define the nodes and edges accurately, provide necessary data on relationships, and follow the specific guidelines set forth by the relevant regulatory authority.
The purpose of graph models for networks is to provide a clear visual representation of network structures, facilitate analysis of connectivity and service delivery, and ensure compliance with industry regulations.
Reported information on graph models should include node identifiers, types of nodes, descriptions of edges, connectivity data, and any other relevant metadata that describes the network structure.
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