Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Online networks occupy an increasingly larger position in how  acquire information, how  communicate with one another, and how  disseminate information. Frequently, small sets of vertices dominate various graph and statistical properties of these networks and, because of this, they are relevant for structural analysis and efficient algorithms and engineering. For the b overall, and specifically for social linking in blogs and instant messaging,  provide a principled, rigorous study of the properties, the construction, and the utilization of subsets of special vertices in large online networks.  show that graph synopses defined by the importance of vertices provide small, relatively accurate portraits, independent of the importance measure, of the larger underlying graphs and of the important vertices. Furthermore, they can be computed relatively efficiently.
['Xiaolin Shi', 'Matthew D. Bonner', 'Lada A. Adamic', 'Anna C. Gilbert']
I am writing a research paper on a idea The very small world of the well-connected
[{"from": "human", "value": "I am writing a research paper on a idea The very small world of the well-connected"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Online networks occupy an increasingly larger position in how  acquire information, how  communicate with one another, and how  disseminate information. Frequently, small sets of vertices dominate various graph and statistical properties of these networks and, because of this, they are relevant for structural analysis and efficient algorithms and engineering. For the b overall, and specifically for social linking in blogs and instant messaging,  provide a principled, rigorous study of the properties, the construction, and the utilization of subsets of special vertices in large online networks.  show that graph synopses defined by the importance of vertices provide small, relatively accurate portraits, independent of the importance measure, of the larger underlying graphs and of the important vertices. Furthermore, they can be computed relatively efficiently."}]