Parallelization critical node discovery method for postal delivery data

A technology for delivering data and key nodes, applied in the field of social network analysis, can solve the problems affecting the accuracy of key nodes, ignoring and other problems, and achieve the effect of improving scalability and accuracy

Inactive Publication Date: 2015-11-18
TONGJI UNIV
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Problems solved by technology

However, most key node discovery algorithms only consider the weight of the edge, and few people take the weight of the node itself into account, which leads to ignoring a lot of useful information when mining key people in the network, which affects the key node discovery. accuracy

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  • Parallelization critical node discovery method for postal delivery data
  • Parallelization critical node discovery method for postal delivery data
  • Parallelization critical node discovery method for postal delivery data

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Embodiment Construction

[0036] The present invention will be described in detail below with reference to the drawings and specific embodiments. This embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation mode and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0037] Such as figure 2 As shown, MapReduce divides the massive data into groups and distributes the processing to each sub-node under the master node to complete it together, and finally integrates the calculation results of each sub-node to obtain the final result. MapReduce abstracts the entire data processing process into two parts, which are represented by functions, namely map and reduce. The job of map is to decompose tasks into multiple, and reduce is responsible for summarizing the results of multitasking. The data set under the MapReduce framework can be decomposed into multiple smal...

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Abstract

The present invention relates to a parallelization critical node discovery method for postal delivery data. The method comprises the following steps: step S1: acquiring node activity according to the total number of sending and receiving times of each node in a set time in the postal delivery data, and taking the node activity as the own weight value of the node; step S2: acquiring the weight values of edges of each node pair according to the interaction frequency and shared neighbor number metric indexes of each node pair in the set time in the postal delivery data, and defining a network formed by the postal delivery data as a directed double-weighted network graph; and step S3: adding the own weight values of the nodes and the weight values of the edges of the node pairs on the basis of a PageRank algorithm, and excavating critical nodes in the directed double-weighted network graph in parallel. In contrast to the prior art, the parallelization critical node discovery method fully utilizes information in a logistics postal delivery network, reduces the loss of useful information, improves the accuracy of discovery of critical nodes in the network, and parallel operation is implemented at the same time, thereby greatly improving the efficiency and stability of critical node excavation.

Description

Technical field [0001] The invention relates to the technical field of social network analysis, in particular to a parallel key node discovery method oriented to forwarding data. Background technique [0002] Since the concept of "social network" was proposed by British scholars in 1920, researchers have never stopped studying social networks. Especially with the rapid development of biological information technology, network technology, communication technology, and social platforms, a huge complex social network has been formed between each individual in the social network. In social life, complex networks are closely related to our lives. The complex networks that we often come into contact with include: the Internet in the computer field, the World Wide Web, the communication network, the mail network, the Weibo network, the logistics delivery network in the logistics and the biomedical field The network of interactions between proteins. The key node is a kind of more impor...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 马云龙刘敏桂峰章锋袁菡孙源
Owner TONGJI UNIV
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