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Aiming at the problem that the stability of clustering recognition algorithm without any prior information is not enough and the network cluster extraction quality needs to be improved and so on, the original algorithm is improved from the following aspects: The choice of the destination vertex function is added in the random walk; use automatic step number detection method to cancel the original algorithm of random walk steps parameter; add weight of evaluation inter-cluster connection on the original based on cluster extraction conditions; realize the controllable particle size of cluster extraction by introducing the threshold parameter. The test results show that the improved algorithm in terms of anti-jamming in the stability and the clustering quality are higher than the original algorithm.

Cluster network structure is one of the most common topological properties of complex networks and the most important topological attribute, and has the characteristics of the same cluster nodes connected to each other, and the sparse characteristics of the dense clusters interconnected with nodes. To reveal the complex network clustering method of network cluster structure has a very important theoretical significance for the analysis of complex network topology structure, to understand its function, discovering the behavior of the hidden patterns, prediction, and is widely used in social networks, biological networks and the world wide web. This article reviews the research background of the complex network clustering method, research significance, research status at home and abroad as well as the major problems currently facing this new research direction in an attempt to draw a comprehensive and clear outline, to provide a useful reference for researchers of the complex network, data mining, intelligent Web, Bioinformatics and other related fields.

We should construct a spatial database system for mineral resource reserve in Hebei province based on the database with the application of GIS spatial database technology based on the MapGIS software platform. Combined with the construction process of the database, this paper summarizes the problems and the solutions encountered in the construction of large database, and analyzes some techniques the departments of land and resources often use in basic geographic data to discuss with colleagues to further improve the quality and efficiency of database construction.

Mine environmental geological assessment usually uses the expert subjective assignment to determine the weights of affecting factors, but the mine environmental geological problems are the result of many factors. Each factor is complex on the suitability of the influence factors, and the factors interrelate and restrict each other, so the human factor is of great impact. Take the geological quality evaluation of the mine environment of Shanxi, Shaanxi and Inner Mongolia mining area as an example, this article discusses in detail the process of determining the weights of evaluation factors by using the analytic hierarchy process (AHP), which increases the scientific nature of the assignment and reduces the subjectivity, which achieves satisfactory results.

A hierarchical model of survival situational awareness is proposed based on multi-feature fusion, which includes three layers: feature fusion layer, situation assessment layer and comprehensive perception layer. In the feature fusion layer, light-computation features and efficient fusion mechanisms are employed to improve degree of differentiation. Situation assessment layer adopted fusion technology of variable fuzzy set theory to improve the accuracy and objectivity of evaluation. Furthermore, time series of services are introduced to judge the safety states and predict the trends in comprehensive perception layer. Experiments indicate that proposed model is more scientific and more accurate, which is valuable for generalizations and applications.