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Lives in 0.449 0.464 0.439 0.462 0.476 0.476suburbs (0.465) (0.468) (0.466) (0.335) (0.336) (0.336)Children 0.187 0.230 0.237 0.134 0.137 0.135at home (0.371) (0.373) (0.376) (0.229) (0.229) (0.229)Use a 0.409 0.264computer (0.342) (0.254)Use the 0.718* 0.354Internet (0.352) (0.248)263Use e-mail 1.044** 0.387 +(0.393) (0.233)Constant -1.391 -1.264 -1.080 -2.022*** -1.955*** -1.917***Nagelkerke r 2 0.220 0.229 0.245 0.167 0.169 0.171Correctlyclassified (%) 88.3 88.4 88.8 68.5 69.0 69.0Weighted nof observations.508 508 508 507 507 507*** p
264 Wayne E. Baker and Kenneth M. Colemanrace (or had them in their homes). Employment has a positive effect on bothforms of social interaction. Education, too, has a positive effect on both forms.Compared to respondents with less formal education, those with more educationare more likely to have socialized with someone from another neighborhoodand to have socialized with someone of a different race. Householdincome influences the likelihood of inter-neighborhood socializing but notinter-racial socializing. Respondents from households with higher incomes aremore likely than those from households with lower incomes to have socializedwith someone from a different neighborhood.Simply using a computer does not increase or decrease the chances of interneighborhoodsocializing or inter-racial socializing (see models 1 and 4 intable 11.5). Using the Internet has a positive effect on the likelihood of interneighborhoodsocializing but not inter-racial socializing (models 2 and 5).Using e-mail, however, significantly increases the probability of both types ofsocial interaction (models 3 and 6). Compared to respondents who do not usee-mail, those who do are 2.8 times as likely to have socialized with someonefrom a different neighborhood, and 1.5 times as likely to have socialized withsomeone of a different race.These findings suggest that the new information and communication technologiesmay help to overcome the barriers of race and space, even in an urbansystem that is as severely segregated as the Detroit region. In contrast, the“old” communication technologies do not appear to have an influence. Thenumber of telephone numbers in a household, for example, does not have asignificant effect on either form of social interaction (tables not shown here).Those who use the new technologies are more likely to engage in both interneighborhoodand inter-racial socializing, even when controlling for race,gender, education, household income, employment status, family structure,and place of residence.CONCLUSIONThe “new American dilemma,” argues Castells (2000: 128–9), is the combinationof inequality, urban poverty, and social exclusion in the informationage. If ever there were an urban system that illustrates this dilemma, it ismetropolitan Detroit. Inequality is vast, urban poverty is high, and, as we havedocumented here, segregation, isolation, and social exclusion are as severe asanywhere in the United States. However, this view of “Detroit divided” shouldnot be overstated. As Farley and colleagues (2000) note, many manufacturingjobs moved to the suburbs in recent decades, and some blacks managed tofollow those jobs. The percentage of African Americans in the Detroit suburbanring is now 7 percent and in certain suburbs, such as Southfield, the
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The Network Society
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© Manuel Castells 2004All rights r
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viContentsPART IV SOCIABILITY AND S
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Figures2.1 Technological developmen
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xTables13.4 Physician reports of th
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xiiNotes on contributorsNathaniel B
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xivNotes on contributorsand Browsin
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AcknowledgmentsThis book is the res
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xviiiEditor’s prefaceinteraction
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xxEditor’s prefaceof socio-techni
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1. Informationalism, networks, and
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Informationalism and the network so
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the network society, in a binary mo
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2. Institutional models of the netw
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Silicon Valley and Finland 51PATHS
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Silicon Valley and Finland 53Table
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Silicon Valley and Finland 55the fi
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Silicon Valley and Finland 57There
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Silicon Valley and Finland 59inform
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Silicon Valley and Finland 61that I
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Silicon Valley and Finland 63EBay,
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Silicon Valley and Finland 65produc
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wholly devoted to, or dependent on,
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Silicon Valley and Finland 69The st
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Silicon Valley and Finland 71JOT Au
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Silicon Valley and Finland 73risk i
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Silicon Valley and Finland 75respec
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Silicon Valley and Finland 77esting
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Silicon Valley and Finland 79100090
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Silicon Valley and Finland 81the Fi
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Silicon Valley and Finland 83——
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The Russian network society 85but s
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The Russian network society 87All t
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The Russian network society 89inequ
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The Russian network society 91estim
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The Russian network society 93expre
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The Russian network society 95in st
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The Russian network society 97actio
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4. The Internet in China: technolog
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The Internet in China 101power of t
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The Internet in China 103cially tho
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The Internet in China 1057060504030
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The Internet in China 107(Baum, 199
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The Internet in China 109native-pla
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The Internet in China 111“network
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The Internet in China 113Usually on
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The Internet in China 115lifestyle
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The Internet in China 117To borrow
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The Internet in China 119Cartier, a
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The Internet in China 121Bu, Wei (2
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The Internet in China 123jianguanzh
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5. Reflexive Internet? The Britishe
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Reflexive Internet? The British exp
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PART IIIThe Network Economy
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146 Marshall Van Alstyne and Nathan
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7. Labor in the network society: le
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176 Chris BennerLABOR AND FLEXIBILI
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178 Chris BennerFlexibility in Work
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180 Chris Bennerservices means that
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182 Chris BennerTable 7.2Indicators
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184 Chris BennerThis service is oft
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186 Chris Bennerof human resource a
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188 Chris Benneryears, however, edu
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190 Chris Bennermarket, however, is
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192 Chris BennerFlexible labor mark
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194 Chris BennerAsaravala, Amit (20
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196 Chris BennerLave, Jean and Weng
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8. Time, space, and technology infi
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200 Caitlin Zaloomthe bids and offe
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202 Caitlin Zaloomexchange, the bro
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204 Caitlin Zaloomrecently, the log
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206 Caitlin Zaloomadvantage of the
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208 Caitlin Zaloomletters to form w
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210 Caitlin Zaloom“reprogrammable
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Page 236: PART IVSociability and social struc
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Page 247 and 248: 226 Keith N. Hamptonits ability to
Page 249 and 250: 228 Keith N. Hamptonimmediately app
Page 251 and 252: 230 Keith N. HamptonREFERENCESAngsi
Page 253 and 254: 232 Keith N. HamptonSouthern Califo
Page 255 and 256: 234 Manuel Castells et al.this stud
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Page 265 and 266: 244 Manuel Castells et al.by radio.
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Page 271 and 272: 250 Wayne E. Baker and Kenneth M. C
Page 283: Table 11.5Logistic coefficients fro
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e-health networks and social transf
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14. Narrowing the digital divide: t
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The US community technology movemen
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community issues, access advanced t
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PART VINetworked social movements a
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342 Jeffrey S. JurisFollowing Fredr
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344 Jeffrey S. Jurisactions and cou
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346 Jeffrey S. Juristime. 13 Some h
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348 Jeffrey S. JurisZapatistas were
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350 Jeffrey S. Juriscollectives aga
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352 Jeffrey S. JurisVisibly impassi
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354 Jeffrey S. Juriselements. Colin
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356 Jeffrey S. Jurisorganizations.
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358 Jeffrey S. JurisNOTES1. Moving
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360 Jeffrey S. JurisMRG,’ which w
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362 Jeffrey S. JurisPolanyi, Karl (
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364 Araba Sey and Manuel CastellsIn
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366 Araba Sey and Manuel Castellsre
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368 Araba Sey and Manuel Castellsci
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370 Araba Sey and Manuel Castellssw
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372 Araba Sey and Manuel Castellspa
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374 Araba Sey and Manuel Castellssu
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376 Araba Sey and Manuel Castellsch
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378 Araba Sey and Manuel Castellsso
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380 Araba Sey and Manuel CastellsCo
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PART VIIThe culture of the network
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386 Imma Tubellacultural and sociol
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388 Imma Tubellaand through symboli
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390 Imma TubellaStates. During the
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392 Imma TubellaIn Galicia, autonom
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394 Imma Tubellarooms, including fi
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396 Imma Tubellaunderstand the choi
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398 Imma Tubellainteraction which i
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400 Imma TubellaFerguson, M. (1995)
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18. Globalization, identity, and te
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404 Anshu ChatterjeeIndian entrepre
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406 Anshu ChatterjeeThese enterpris
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408 Anshu Chatterjeerestricted area
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410 Anshu Chatterjeepenetration rat
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412 Anshu Chatterjeeproduced instit
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414 Anshu ChatterjeePunjabi TV face
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416 Anshu Chatterjeedecisions. The
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418 Anshu ChatterjeeNOTES1. For mor
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19. The hacker ethic as the culture
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422 Pekka Himanenthe informational
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424 Pekka Himanenone of the founder
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426 Pekka Himanena work culture in
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428 Pekka Himanenhype in which the
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430 Pekka HimanenWithout renewing t
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Afterword: an historian’s view on
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434 Rosalind Williamsdoes it mean t
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436 Rosalind Williamsindustrial soc
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438 Rosalind Williamsgovernance str
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440 Rosalind Williamsspeech deliver
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442 Rosalind Williamsincarnates as
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444 Rosalind Williamsexponentially
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446 Rosalind Williamsmultiplicity o
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448 Rosalind WilliamsArendt, Hannah
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450 IndexCalifornia, University of:
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452 IndexDetroit Area Study 249, 25
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454 IndexGore, Al 99Gould, Stephen
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456 Indexencryption 71, 76gender ga
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458 IndexMTV 403, 415MTV India 406M
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460 IndexRambler 95Raymond, Eric 35
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462 Indexstatism 15, 17-18, 22, 84,
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464 IndexYahoo! 55, 59, 61Yang, Jer
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