What are the applications of graph theory in Social networks?
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Graph theory has various applications in social networks. It can be used to explore and visualize social networks by representing them as graphs . Graph theory concepts are helpful in formulating and studying statistical parameters that analyze social patterns in these networks . In the field of computer science, graph theory is used for clustering web documents, cryptography, analyzing algorithm execution, and electronic circuit simplifications and analysis . Social network analysis combines graph theory with other techniques to investigate social structures, explain underlying dynamics, and analyze social network properties . Graph theory is also used in the analysis of criminal networks, studying weight distribution and shortest path length in interactions among suspects . Additionally, graph theory has potential applications in agriculture, marketing networks, fraud detection, and recommendation systems .
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| The paper discusses the use of graph theory in the analysis of criminal networks, but it does not specifically mention the applications of graph theory in social networks. | |
| The paper mentions that graph theory is used in social network analysis to analyze the structure of social networks and explain the underlying dynamics and patterns observed in these structures. | |
| The paper describes that graph theory concepts are applied to social networks to formulate and study various statistical parameters that help in analyzing social patterns. | |
20 Feb 2020 39 Citations | The paper comprehensively summarizes the use of graph theory in social networks for purposes such as modeling and analysis of network structures, operation modeling, and user analysis. |
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