Social Networks with Rich Edge Semantics (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

[Quan Zheng, David Skillicorn] ☆ Social Networks with Rich Edge Semantics (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) ☆ Download Online eBook or Kindle ePUB. Social Networks with Rich Edge Semantics (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) ]

Social Networks with Rich Edge Semantics (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Author :
Rating : 4.81 (904 Votes)
Asin : 1138032433
Format Type : paperback
Number of Pages : 240 Pages
Publish Date : 2016-12-28
Language : English

DESCRIPTION:

For each possibility, the book shows how to model the social network using spectral embedding. Social Networks with Rich Edge Semantics introduces a new mechanism for representing social networks in which pairwise relationships can be drawn from a range of realistic possibilities, including different types of relationships, different strengths in the directions of a pair, positive and negative relationships, and relationships whose intensities change with time. It also shows how to compose the techniques so that multiple edge semantics can be modeled together, and the modeling techniques are then applied to a range of datasets.FeaturesIntroduces the reader to difficulties with current social network analysis, and the need for richer representations of relationships among nodes, including accounting for intensity, direction, type, p

He consults for the intelligence and security arms of government in several countries, and appears frequently in the media to comment on cybersecurity and terrorism.Dr. He has proposed a few graph algorithms for identifying interested individuals and links, clustering and classification.. Quan Zheng got his Ph.D. David Skillicorn is a professor in the School of Computing at Queen's University. His undergraduate degree is from the  University of Syd

He has also been involved in interdisciplinary research on radicalisation, terrorism, and financial fraud. He consults for the intelligence and security arms of government in several countries, and appears frequently in the media to comment on cybersecurity and terrorism.Dr. is in the School of Computing from Queen’s University in the year 2016.He has a Master’s degree in Applied Mathematics with a specialization in statistics from Indiana University of Pennsylvania, and a Master’s degree in Computer Science from the University of Ulm, and an undergraduate degree from Darmstadt University of Applied Science.His research inte