A Community Discovery Method Based on Random Walk
A technology of random walk and community discovery, which is applied in the field of complex networks, can solve problems such as high computational complexity of algorithms, unapplicable algorithms, prior knowledge of algorithms and narrow scope of use, etc., to achieve reduced calculation costs, short time, and adaptability strong effect
Active Publication Date: 2017-06-06
XI AN JIAOTONG UNIV
View PDF2 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0005] Discovering communities in these networks helps us to understand and develop these networks more effectively. However, with the advent of the era of big data, due to the high computational complexity of current algorithms, some algorithms require prior knowledge and narrow scope of use, resulting in These algorithms cannot be applied in real complex networks
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment 1
[0030] 1) By expressing with an undirected graph G figure 1 the complex network of said representations;
[0031] 2) Reference figure 2 , where ESS represents an edge, select a node with equal probability among all nodes [1, 2, 3, 4, 5, 6, 7] of the undirected graph G as the starting point of the random walk, where each The probability of a point being selected is 1 / 7, the starting node of the random walk obtained through random selection is 1, and the sequence of traversing nodes VS=(1); with 1 as the starting node, in its neighbor nodes [2, 3, 4 ] The target node is selected with medium probability, and the probability of each neighbor node being selected is 1 / 3. After random selection, the target node is 2, and the traversal node sequence VS=(1, 2); for each step of the random walk, the target node The node u is randomly selected from the neighbor nodes of the current node v with a medium probability, and the destination node is added to the sequence of traversed nodes a...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses a community discovery method based on random walk. The community discovery method based on the random walk comprises the following steps of (1) obtaining a node sequence of a complex network through the random walk; (2) performing data analysis on the node sequence and obtaining connection tightness degrees between two nodes; (3) performing community discovery according to the connection tightness degrees between the nodes. The community discovery method based on the random walk has the advantages of being simple in achievement and low in computation complexity, effectively reducing computing resource costs for community discovery, enabling a community discovery result to be obtained without needing any prior information but only needing a topological structure of the complex network, having application advantages in a real complex network and meanwhile enabling a quantitative analysis of belonging of nodes of an overlap portion of the community to be performed.
Description
technical field [0001] The invention belongs to the field of complex networks, and in particular relates to a community discovery method based on random walk. Background technique [0002] In the study of network theory, a complex network is a network structure composed of a huge number of nodes and intricate relationships between nodes. In the language of mathematics, it is a graph with sufficiently complex topological features. The real world contains various types of complex networks, such as social networks (friend networks and cooperation networks, etc.), technical networks (World Wide Web and power grids, etc.), biological networks (neural networks, food chain networks, and metabolic networks, etc.). [0003] After several years of hard work, the research of complex networks has made many important progresses, and some statistical characteristics of complex networks have been discovered, including small-world properties (that is, the average distance between nodes in ...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
CPCG06F16/958
Inventor 周亚东刘晓明管晓宏胡成臣
Owner XI AN JIAOTONG UNIV