000 03542cam a2200577Ii 4500
001 ocn922528505
003 OCoLC
005 20190328114812.0
006 m o d
007 cr cnu|||unuuu
008 150929s2015 ne a ob 000 0 eng d
040 _aN$T
_beng
_erda
_epn
_cN$T
_dN$T
_dIDEBK
_dYDXCP
_dUIU
_dUMI
_dCDX
_dEBLCP
_dOCLCF
_dCOO
_dB24X7
_dSTF
_dD6H
_dIDB
_dUAB
_dVT2
_dLIV
_dOCLCQ
_dMERUC
_dOCLCQ
_dUUM
_dWRM
_dU3W
_dCEF
_dDEHBZ
_dOCLCQ
_dWYU
_dTKN
019 _a926045956
_a966398029
_a988619902
_a1008946619
_a1066620879
020 _a9780128030424
_q(electronic bk.)
020 _a0128030429
_q(electronic bk.)
020 _a0128030232
020 _a9780128030233
020 _z9780128030233
035 _a(OCoLC)922528505
_z(OCoLC)926045956
_z(OCoLC)966398029
_z(OCoLC)988619902
_z(OCoLC)1008946619
_z(OCoLC)1066620879
050 4 _aHM742
072 7 _aPSY
_x031000
_2bisacsh
072 7 _aCOM
_x060140
_2bisacsh
082 0 4 _a302.30285
_223
100 1 _aArnaboldi, Valerio,
_eauthor.
245 1 0 _aOnline social networks : human cognitive constraints in Facebook and Twitter personal graphs /
_h[electronic resource]
_cValerio Arnaboldi, Andrea Passarella, Marco Conti, Robin I.M. Dunbar.
264 1 _aAmsterdam, Netherlands :
_bElsevier,
_c2015.
264 4 _c�2015
300 _a1 online resource (ix, 106 pages) :
_billustrations.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aComputer science reviews and trends
504 _aIncludes bibliographical references (pages 101-106).
588 0 _aVendor-supplied metadata.
520 _aThis book provides insights into the structural properties of personal online social networks and the mechanisms underpinning human online social behavior. As the availability of digital communication data generated by social media is revolutionizing the field of social networks analysis. It discusses the use of large- scale datasets to study the structural properties of online ego networks, to compare them with the properties of general human social networks, and to highlight additional properties. Users will find the data collected and conclusions drawn useful during design or research service initiatives that involve online and mobile social network environments. It presents quantitative evidence of the Dunbar's number in online environments and discusses original structural and dynamic properties of human social network through OSN analysis. --
_cEdited summary from book.
505 0 _aHuman social networks -- Tie strength and ego network structure in Facebook -- The structure of ego network in Twitter -- Evolutionary dynamics in Twitter ego networks.
650 0 _aOnline social networks.
650 0 _aSocial media.
650 7 _aPSYCHOLOGY
_xSocial Psychology.
_2bisacsh
650 7 _aCOMPUTERS
_xWeb
_xSocial Networking.
_2bisacsh
650 7 _aOnline social networks.
_2fast
_0(OCoLC)fst01741311
650 7 _aSocial media.
_2fast
_0(OCoLC)fst01741098
655 4 _aElectronic books.
655 0 _aElectronic book.
700 1 _aPassarella, Andrea,
_eauthor.
700 1 _aConti, Marco,
_d1962-
_eauthor.
700 1 _aDunbar, R. I. M.
_q(Robin Ian MacDonald),
_d1947-
_eauthor.
776 0 8 _iPrint version:
_aArnaboldi, Valerio.
_tOnline social networks.
_dAmsterdam, Netherlands : Elsevier, 2015
_z0128030232
_w(OCoLC)903596384
830 0 _aComputer science reviews and trends.
856 4 0 _3ScienceDirect
_uhttp://www.sciencedirect.com/science/book/9780128030233
999 _c247175
_d247175