Network Role Mining and Analysis /

This brief presents readers with a summary of classic, modern, and state-of-the-art methods for discovering the roles of entities in networks (including social networks) that range from small to large-scale. It classifies methods by their mathematical underpinning, whether they are driven by implica...

Full description

Saved in:
Bibliographic Details
Main Author: Doran, Derek (Author)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Series:SpringerBriefs in complexity.
Subjects:
Online Access:Connect to this title online

MARC

LEADER 00000nam a22000005i 4500
001 b3108554
003 CStclU
005 20240627103314.0
006 m o d
007 cr |||||||||||
008 170320s2017 gw | o |||| 0|eng d
020 |a 9783319538860 
024 7 |a 10.1007/978-3-319-53886-0  |2 doi 
035 |a (DE-He213)spr978-3-319-53886-0 
040 |d UtOrBLW 
050 4 |a QA76.9.D343 
100 1 |a Doran, Derek,  |e author. 
245 1 0 |a Network Role Mining and Analysis /  |c by Derek Doran. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2017. 
300 |a 1 online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a SpringerBriefs in Complexity,  |x 2191-5326 
505 0 |a Network Role Mining and Analysis: An Overview -- Implied Role Mining -- Equivalence-Based Role Mining -- Deterministic Blockmodeling -- Stochastic Blockmodeling -- Advanced Computational Methods -- Concluding Remarks. 
520 |a This brief presents readers with a summary of classic, modern, and state-of-the-art methods for discovering the roles of entities in networks (including social networks) that range from small to large-scale. It classifies methods by their mathematical underpinning, whether they are driven by implications about entity behaviors in system, or if they are purely data driven. The brief also discusses when and how each method should be applied, and discusses some outstanding challenges toward the development of future role mining methods of each type. 
650 0 |a Big data.  |0 http://id.loc.gov/authorities/subjects/sh2012003227 
650 0 |a Computer science.  |0 http://id.loc.gov/authorities/subjects/sh89003285 
650 0 |a Data mining.  |0 http://id.loc.gov/authorities/subjects/sh97002073 
650 0 |a Personality.  |0 http://id.loc.gov/authorities/subjects/sh85100113 
650 0 |a Social psychology.  |0 http://id.loc.gov/authorities/subjects/sh85123994 
650 0 |a System theory.  |0 http://id.loc.gov/authorities/subjects/sh85131743 
650 1 4 |a Computer Science. 
650 2 4 |a Applications of Graph Theory and Complex Networks. 
650 2 4 |a Big Data/Analytics. 
650 2 4 |a Complex Systems. 
650 2 4 |a Data Mining and Knowledge Discovery. 
650 2 4 |a Personality and Social Psychology. 
650 7 |a Big data.  |2 fast  |0 (OCoLC)fst01892965 
650 7 |a Computer science.  |2 fast  |0 (OCoLC)fst00872451 
650 7 |a Data mining.  |2 fast  |0 (OCoLC)fst00887946 
650 7 |a Personality.  |2 fast  |0 (OCoLC)fst01058667 
650 7 |a Social psychology.  |2 fast  |0 (OCoLC)fst01122816 
650 7 |a System theory.  |2 fast  |0 (OCoLC)fst01141423 
740 0 |a Springer Computer Science 
776 0 8 |i Printed edition:  |z 9783319538853 
830 0 |a SpringerBriefs in complexity.  |0 http://id.loc.gov/authorities/names/no2011168703 
856 4 0 |u https://login.libproxy.scu.edu/login?url=https://dx.doi.org/10.1007/978-3-319-53886-0  |z Connect to this title online  |t 0 
907 |a .b31085544  |b 240629  |c 171208 
998 |a uww  |b 171208  |c m  |d z   |e l  |f eng  |g gw   |h 0 
918 |a .bckstg  |b 2016-12-01 
919 |a .ulebk  |b 2017-02-14 
999 f f |i dea22662-2d0a-5aff-a9c6-eca80ce6e791  |s f3a82c88-0c2d-56fb-9f55-f7fc97acbe59  |t 0