http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112149000-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_d40285e27f4ed83b8728b0d477404958 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-9536 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q50-01 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-23 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F16-9536 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q50-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 |
| filingDate | 2020-09-09^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5b1d4870d8a80120b63dd99d0cc8f868 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7611d59a03ce1f49631a0e2353095cf5 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_091c839f1b454435eb5e7a9b096a776d |
| publicationDate | 2020-12-29^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-112149000-A |
| titleOfInvention | An online social network user community discovery method based on network embedding and node similarity |
| abstract | An online social network user community discovery method based on network embedding and node similarity, using the network embedding method to convert high-dimensional social network into low-dimensional vector data, calculating the distance between user nodes and the dynamic neighbor gravitational sum of each node. Dynamic neighbor gravitational centrality, and then determine the central node of each initial small community, and then attribute the remaining data points to the small community represented by the initial central node closest to it to generate the initial small community set of social network users; calculate the sum of all nodes. The distance between each node is obtained, the most similar node of each node is obtained, and the most similar node pair is formed, and then the initial small community is merged according to the most similar node pair to obtain the secondary community; finally, the secondary community is merged by optimizing the modularity method and found The optimal network community structure. The present invention uses the network embedding vector to calculate the distance between nodes, utilizes the most similar node pair to merge the community, and has high speed and high accuracy. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112929445-B http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112929445-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112910680-A |
| priorityDate | 2020-09-09^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
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