Dynamic Modeling of Bacterial and Organizational Colony Networks for Coordinated Response to Influenza
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How does the organizational colony (i.e., groups, subgroups, and cliques of the Area Health Networks) formed within the network involving multi organizational coordinated response structures? Who is central to each of these multi organizational coordinated response structures? Who serves as a bridge among multi organizational coordinating teams? Can we optimize the robustness of coordinated response by integrating the bacterial and organizational colony network dynamics in a single predictive framework?
The objectives of this study are as follows:
- To determine the bacterial colony dynamics by applying dynamic social network modeling;
- To determine the structure of existing organizational colony networks within the Area Health Network teams;
- To compare existing bacterial and organizational colony networks with the corresponding structures in biological networks;
- To map the algorithmic description of biological networks to the structure and nature of agency-public and agency-agency information networks in multi-organizational colony networks;
- To develop new information network structures based on the biological models;
- To compare the dynamics of current information networks with those predicted by the biologically-inspired networks.
- To compare the scalability of current information-networks with that of the biologically-inspired networks by studying the dynamic behavior in (3) for different sizes of network and spatial structures.
Want to find out more?
social network algorithm, evaluation of the spread of infections, statistical validation, structure of existing organizational colony networks, Information networks, dynamics of bacterial colony networks, responding to the infections
The opportunity ID for this research opportunity is: 1353
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