Systems and methods for social graph data analytics to determine connectivity within a community

作者: Evan V Chrapko , Leo M. Chan

DOI:

关键词:

摘要: Systems and methods for social graph data analytics to determine the connectivity between nodes within a community are provided. A user may assign values other members of community, or be automatically harvested assigned from third parties based on frequency interactions community. Connectivity represent such factors as alignment, reputation, status, and/or influence network degree trust. The paths connecting first node second retrieved, performed retrieved paths. For example, value determined all subset parallel computational framework operate in connection with key- store perform some computations related determinations. Network outputted third-party processes services use initiating automatic transactions making automated network-based real-world decisions.

参考文章(26)
Arun Darlie Koshy, Alexander Ogolyuk, Facilitating relationships and information transactions ,(2009)
Haitao Wu, Songwu Lu, Guohan Lv, Yunfeng Shi, Yongguang Zhang, Danfeng Zhang, Chuanxiong Guo, Dan Li, Server-centric high performance network architecture for modular data centers ,(2016)
Jennifer Golbeck, James Hendler, Inferring Trust Relationships in Web-Based Social Networks ,(2006)
Audun Jøsang, Michael Kinateder, Elizabeth Gray, Simplification and analysis of transitive trust networks Web Intelligence and Agent Systems: An International Journal. ,vol. 4, pp. 139- 161 ,(2006)
Muralidharan S. Kodialam, Tirunell V. Lakshman, Capacity allocation for networks having path length routing constraints ,(2003)
Sudip Chakraborty, Indrajit Ray, TrustBAC Proceedings of the eleventh ACM symposium on Access control models and technologies - SACMAT '06. pp. 49- 58 ,(2006) , 10.1145/1133058.1133067