5 results about "Citation network" patented technology

The application provides a keyword reverse propagation algorithm based on a citation network structure, and comprises the following steps: a spring charge model is established, force-directed layout processing is performed, and a force-directed layout graph is established; a keyword propagation model is established by using a reverse propagation algorithm, and a keyword weight change contrast curve is obtained; a citation network model is constructed by using the force-directed layout graph; iterative calculation is performed on the force-directed layout graph until the energy state in the force-directed layout graph reaches a minimum value; while the citation network is iteratively calculated, the keyword weight in the citation network model is adjusted, and a converged citation network layout graph is calculated. The application has the beneficial effects that the entire network is taken as a main body, keywords owned by cited documents are selected at a certain probability and are propagated backward along the network to the citing documents, the weight of the keywords is increased while the text clustering idea is retained, and clear visual data effects are obtained through force-directed layout.

The application provides a core set calculation method for a graph structure, relates to the field of graph structure, and constructs a citation network graph and generates an adjacency vector of each node, calculates a DOPH signature of each adjacency vector, and then performs clustering division based on the DOPH signature, calculates by using a GA error, and accelerates by using a clustering-based method, and meanwhile, the application combines a reverse reachable set of the node, selects the node to form a core set, so that the application constructs the core set capable of representing the information of the whole graph structure based on the propagation characteristics, local structure similarity and global role information of the nodes in the graph. Further, the framework introduces a graph adaptive sampling strategy and an adjustable covering mechanism, can dynamically balance the calculation efficiency and the representation accuracy according to the task requirement, and thus realizes the automatic balance between the effect and the cost.

The application provides a geoscience hotspot extraction and visualization method and system based on literature, comprising the following steps: step 1, constructing a literature citation network according to geoscience journal literature; step 2, clustering the geoscience journal literature based on the citation network; step 3, extracting hot keywords based on text statistics by adopting a theme construction method; step 4, extracting hot keywords based on text semantic information by adopting text embedding representation clustering; step 5, fusing and screening the extracted keywords, and obtaining geoscience research hot keywords in combination with paper clustering; and step 6, constructing a hot core paper set and a citation network thereof, and performing visual display. The application constructs a geoscience field hotspot mining and visualization scheme, can comprehensively utilize text statistics and semantic information to mine research hotspots compared with existing methods, can reveal the research focus and front direction of the current field, and helps researchers better understand the discipline development trend and grasp the front dynamic.

The application provides a citation network node classification method and system fusing GCN and multiple classifiers, wherein the classification method comprises the following steps: regarding the whole citation network as a non-directional graph G comprising node attributes and topological structures; calculating an adjacency matrix and a feature matrix of the non-directional graph G; initializing an edge weight matrix of the non-directional graph G, and calculating the edge weight of the non-directional graph G according to the feature matrix; converging the calculated edge weight to the nodes at both ends of the edge, updating the feature matrix; filtering and amplifying the features in the updated feature matrix; inputting the adjacency matrix and the updated feature matrix into n classifiers respectively for prediction and fusing the prediction results to obtain the final classification result. The classification method comprehensively considers the effective semantic information in the network, can obtain more accurate and stable classification effect through the prediction of multiple classifiers and the fusion by using fuzzy integration.

The application discloses a kind of construction methods and devices of high-speed rail technology evolution graph.The construction method includes: obtaining patent data set related to high-speed rail technology and classifying according to technical field, obtain multiple technical subsets;Based on PatentsBERTa model and cosine similarity calculation formula, obtain multiple similarity data sets;Obtain the similarity threshold of each technical subset, and based on the similarity threshold, obtain multiple candidate patent groups corresponding to each technical subset respectively;Based on the candidate patent group corresponding to each technical subset, build the time evolution graph and citation network graph corresponding to each technical subset, and convert into network data using graph projection, construct multiple evolution knowledge graphs;Obtain the target technology of pre-set, and based on the evolution knowledge graph corresponding to the technical subset of target technology, construct the evolution subgraph of target technology.The construction method provided by the application can identify the evolution path of each sub-technology in high-speed rail technology.