RUI LI WANG
Acupuncture at Maude Ave, Sunnyvale, CA
License number
California AC 15809
Category
Acupuncture
Type
Acupuncturist
Address
Address
333 W Maude Ave SUITE 105, Sunnyvale, CA 94085
Phone
(408) 387-2101
Professional information
Techniques For Identifying And Presenting Connection Paths
US Patent:
2013025, Sep 26, 2013
Filed:
Jul 13, 2012
Appl. No.:
13/548957
Inventors:
Heyning Cheng - Los Gatos CA, US
Daniel Tunkelang - Mountain View CA, US
Bradley Scott Mauney - Mountain View CA, US
Ashley Woodman Hall - Menlo Park CA, US
Christopher Conrad - Fremont CA, US
Rui Wang - Sunnyvale CA, US
Yasuhiro Matsuda - Palo Alto CA, US
Daniel Tunkelang - Mountain View CA, US
Bradley Scott Mauney - Mountain View CA, US
Ashley Woodman Hall - Menlo Park CA, US
Christopher Conrad - Fremont CA, US
Rui Wang - Sunnyvale CA, US
Yasuhiro Matsuda - Palo Alto CA, US
Assignee:
Linkedln Corporation - Mountain View CA
International Classification:
G06F 15/16
US Classification:
709206, 709204
Abstract:
Techniques for analyzing a social graph of a social network service to identify and then present connection paths connecting various entities are described. With some embodiments, subsequent to a user selecting or otherwise identifying two entities represented as nodes in a social graph, the social graph is analyzed to identify connection paths connecting the nodes representing the two entities. The social graph is implemented with a graph data structure having nodes and edges representing entities and associations between entities, respectively. With some embodiments, the nodes represent people, companies, educational institutions (e.g., schools, universities, etc.), and groups. After identifying the connection paths, the connection path or paths having the highest path scores, as derived by aggregating edge scores assigned to the edges, may be presented.
Techniques For Identifying And Presenting Connection Paths
US Patent:
2013025, Sep 26, 2013
Filed:
May 29, 2012
Appl. No.:
13/482884
Inventors:
Heyning Cheng - San Jose CA, US
Daniel Tunkelang - Mountain View CA, US
Bradley Scott Mauney - Mountain View CA, US
Ashley Woodman Hall - Menlo Park CA, US
Christopher Conrad - Fremont CA, US
Rui Wang - Sunnyvale CA, US
Yasuhiro Matsuda - Palo Alto CA, US
Daniel Tunkelang - Mountain View CA, US
Bradley Scott Mauney - Mountain View CA, US
Ashley Woodman Hall - Menlo Park CA, US
Christopher Conrad - Fremont CA, US
Rui Wang - Sunnyvale CA, US
Yasuhiro Matsuda - Palo Alto CA, US
International Classification:
G06F 17/30
US Classification:
707748, 707E1703, 707E17044
Abstract:
Techniques for analyzing a social graph of a social network service to identify and then present connection paths connecting various entities are described. With some embodiments, subsequent to a user selecting or otherwise identifying two entities represented as nodes in a social graph, the social graph is analyzed to identify connection paths connecting the nodes representing the two entities. The social graph is implemented with a graph data structure having nodes and edges representing entities and associations between entities, respectively. With some embodiments, the nodes represent people, companies, educational institutions (e.g., schools, universities, etc.), and groups. After identifying the connection paths, the connection path or paths having the highest path scores, as derived by aggregating edge scores assigned to the edges, may be presented.