Read-write network visualization
US-2024163189-A1 · May 16, 2024 · US
US9705761B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9705761-B2 |
| Application number | US-201314411092-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 15, 2013 |
| Priority date | Jun 26, 2012 |
| Publication date | Jul 11, 2017 |
| Grant date | Jul 11, 2017 |
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Official abstract text for this publication.
The present invention discloses a system and a method for presenting network hotspot information and relates to the field of network information technologies. The system comprises: a web page capturing module configured to capture a web page containing network hotspot information on a current network; a web page analyzing module configured to analyze the web page to acquire body information of the web page; a region identification module configured to perform region identification on the body information to acquire a corresponding region which the body information belongs to and perform quantity statistics on the web pages belonging to the same region; and a presenting module configured to present a result of the quantity statistics in a manner of map coloring. The system and the method according to the present invention may objectively and intuitively reflect the network hotspot information in various regions through performing the region identification on the web page containing network hotspot information.
Opening claim text (preview).
The invention claimed is: 1. A system for presenting network hotspot information, which comprises: a processor; a memory communicatively coupled to the processor and bearing instructions that upon execution by the processor cause the system at least to: capture a web page containing network hotspot information on a current network; analyze the web page to acquire body information of the web page; perform region identification on the body information to acquire a region which the body information belongs to and perform quantity statistics on the web pages belonging to the same region, wherein the memory further bears instructions that upon execution by the processor cause the system to: construct a Double Array Trie tree with a statistical table of administrative regions, match geographical names occurring in the body information with the Double Array Trie tree, and utilize a result of matching to acquire the region which the body information belongs to; and present a result of the quantity statistics in a manner of map coloring. 2. The system according to claim 1 , wherein the memory further bears instructions that upon execution by the processor cause the system to: store data of the body information; and format the body information. 3. The system according to claim 1 , wherein, the result of matching comprises: geographical names, occurrence frequency of the geographical names and the administrative relation between the geographical names. 4. The system according to claim 1 , wherein the memory further bears instructions that upon execution by the processor cause the system to: use a web crawler to capture the web page containing network hotspot information on the current network. 5. The system according to claim 1 , wherein the memory further bears instructions that upon execution by the processor cause the system to: perform a multi-dimensional extraction on the web page to acquire the body information of the web page. 6. The system according to claim 1 , wherein the memory further bears instructions that upon execution by the processor cause the system to: hash a result of the statistics data over a range of color levels to realize the map coloring. 7. The system according to claim 1 , wherein the memory further bears instructions that upon execution by the processor cause the system to: adjust different administrative levels of regions in the map for display as required. 8. The system according to claim 1 , wherein the memory further bears instructions that upon execution by the processor cause the system to: use a support vector machine (SVM) based machine to learn until a preset accuracy is reached after a plurality of samples are manually marked and corrected. 9. A method for presenting network hotspot information, comprising: capturing a web page containing network hotspot information on a current network; analyzing the web page to acquire body information of the web page; performing region identification on the body information to acquire a region which the body information belongs to and performing quantity statistics on the web pages belonging to the same region, wherein the performing region identification on the body information further comprises: utilizing a statistical table of the administrative regions to construct a Double Array Trie tree, matching geographical names occurring in the body information with the Double Array Trie tree, and utilizing a result of matching to acquire the region which the body information belongs to; and presenting a result of the quantity statistics in a manner of map coloring. 10. The method according to claim 9 , wherein, formatting the body information and storing data of the body information before performing the region identification on the body information. 11. The method according to claim 9 , wherein, the result of matching comprises: geographical names, occurrence frequency of the geographical names and the administrative relation between the geographical names. 12. The method according to claim 9 , wherein, a web crawler is used to capture the web page containing network hotspot information on the current network. 13. The method according to claim 9 , wherein, when the web page is analyzed, a multi-dimensional extraction is performed on the web page to acquire the body information of the web page. 14. The method according to claim 9 , wherein, when the result of the quantity statistics is presented in a manner of map coloring, the result of the statistics data is hashed over a range of color levels to realize the map coloring. 15. The method according to claim 9 , wherein, when the result of the quantity statistics is presented in a manner of map coloring, different administrative levels of regions in the map are adjusted for display as required. 16. The method according to claim 9 , wherein, before the region identification is performed on the body information and after a plurality of samples are manually marked and corrected, a support vector machine (SVM) based machine is used to learn until a preset accuracy is reached. 17. A non-transitory computer readable medium having instructions stored thereon that, when executed by at least one processor, cause the at least one processor to perform operations for presenting network hotspot information, the operations comprising: capturing a web page containing network hotspot information on a current network; analyzing the web page to acquire body information of the web page; performing region identification on the body information to acquire a region which the body information belongs to and performing quantity statistics on the web pages belonging to the same region, wherein the performing region identification on the body information further comprises: utilizing a statistical table of the administrative regions to construct a Double Array Trie tree, matching geographical names occurring in the body information with the Double Array Trie tree, and utilizing a result of matching to acquire the region which the body information belongs to; and presenting a result of the quantity statistics in a manner of map coloring.
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