Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  study local aggregation and graph analysis in distributed environments using the message passing model.  provide a flexible framework, where each of the nodes in a set $S$--which is a subset of all nodes in the network--can perform a large range of common aggregation functions in its $k$-neighborhood.  study this problem in the CONGEST model, where in each synchronous round, every node can transmit a different (but short) message to each of its neighbors. While the $k$-neighborhoods of nodes in $S$ might overlap and aggregation could cause congestion in this model,  present an algorithm that needs time $O(|S|+k)$ even when each of the nodes in $S$ performs a different aggregation on its $k$-neighborhood. The framework is not restricted to aggregation-trees such that it can be used for more advanced graph analysis.  demonstrate this by providing efficient approximations of centrality measures and approximation of minimum routing cost trees.
['Benjamin Dissler', 'Stephan Holzer', 'Roger Wattenhofer']
I am writing a research paper on a idea Distributed Local Multi-Aggregation and Centrality Approximation
[{"from": "human", "value": "I am writing a research paper on a idea Distributed Local Multi-Aggregation and Centrality Approximation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  study local aggregation and graph analysis in distributed environments using the message passing model.  provide a flexible framework, where each of the nodes in a set $S$--which is a subset of all nodes in the network--can perform a large range of common aggregation functions in its $k$-neighborhood.  study this problem in the CONGEST model, where in each synchronous round, every node can transmit a different (but short) message to each of its neighbors. While the $k$-neighborhoods of nodes in $S$ might overlap and aggregation could cause congestion in this model,  present an algorithm that needs time $O(|S|+k)$ even when each of the nodes in $S$ performs a different aggregation on its $k$-neighborhood. The framework is not restricted to aggregation-trees such that it can be used for more advanced graph analysis.  demonstrate this by providing efficient approximations of centrality measures and approximation of minimum routing cost trees."}]