Intelligent agent method capable of improving influence on dynamic network terminal by nodes
A technology of intelligent agent and dynamic network, applied in the direction of data exchange network, digital transmission system, electrical components, etc., can solve problems such as the dynamics and complexity of real problems that are not considered
Active Publication Date: 2018-05-29
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology
[0004] The purpose of the present invention is to overcome the shortcomings of existing network construction methods based on game theory that do not consider the dynamics and complexity of real problems based on theoretical analysis, and propose an intelligent agent method that can enhance the influence of nodes in dynamic network terminals
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Embodiment 1
[0036] attached figure 1 It is a process of an intelligent agent method that can enhance the influence of nodes in dynamic network terminals.
[0037] Depend on figure 1 It can be seen that after the method of the present invention is initialized, evaluation is performed, and then evaluation is performed after selection, connection and waiting. figure 2 is the network structure diagram before the initialization of the embodiment of the present invention; figure 2 There are 12 nodes in total, and point V is the target node.
[0038] That is, given a network G=(V, E), where V and E are point sets (i.e. node sets) and edge sets (i.e. relationship sets) respectively, the target node v, the number k of sets divided each time, and the waiting time T, the intelligent agent method described in the present invention will first perform an initialization operation, and then repeat the process of evaluation, selection, connection and waiting. Since the real network is always evolving...
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The invention provides an intelligent agent method capable of improving influence on a dynamic network terminal by nodes, and belongs to the technical field of the data mining, data searching and machine learning. The specific steps are as follows: step one, initializing: dividing the nodes into multiple sets, and enabling a target node v to establish connection with the node capable of bringing the maximum net income in each set; step two, assessing: re-computing the net income of each node and re-dividing the set; step three, selecting: selecting the set by adopting an upper bound of a confidence interval; step four, connection: enabling the target individual to connect the node capable of bringing the maximum net income in the selected set; and step five, waiting: repeating the steps two to five after waiting for the network change. From the angle of the network individual, the target node can possess greater speaking right in the network. From the angle of a network supervisor, thetarget node can well master the network information, thereby timely discovering the potential risk in the network.
Description
technical field [0001] The invention relates to an intelligent agent method capable of enhancing the influence of nodes on a dynamic network terminal, and belongs to the technical fields of data mining, data search and machine learning. Background technique [0002] The network structure model is composed of points and edges. Points are nodes, and edges represent certain relationships between nodes. It is an important method for analyzing multi-node relationships. Problems in many fields in reality can be abstracted into network models, such as interpersonal relationships in sociology, Internet topology in computer science, and protein-molecular interactions in biology. In a network, there are differences in the status of nodes. Nodes with higher centrality tend to have greater influence. These nodes have control and dominance over the network. Therefore, it is necessary to find a way to efficiently increase the influence of nodes. The significance is particularly prominent...
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Login to View More IPC IPC(8): H04L12/24
CPCH04L41/046H04L41/12H04L41/142
Inventor 闫波陈阳刘佳谋许晟华刘一平宿红毅郑宏
Owner BEIJING INSTITUTE OF TECHNOLOGYGY