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LEADER 00000cam a2200000 i 4500
001 EBSCO_on1135325341
003 OCoLC
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008 200108s2019 ne o 100 0 eng d
040 |a N$T  |b eng  |e rda  |e pn  |c N$T  |d EBLCP  |d IOSPR  |d N$T  |d YDX  |d OCLCF  |d CUY  |d OCLCQ  |d STF  |d OCLCQ  |d OCLCO  |d OCLCQ  |d OCLCO  |d OCLCQ 
019 |a 1135391766 
020 |a 9781643680378  |q (electronic bk.) 
020 |a 1643680374  |q (electronic bk.) 
020 |z 9781643680361  |q (print) 
020 |z 1643680366 
029 1 |a AU@  |b 000068476048 
035 |a (OCoLC)1135325341  |z (OCoLC)1135391766 
050 4 |a H61.3 
082 0 4 |a 300.285  |2 23 
049 |a UAMI 
245 0 0 |a Computational social science and complex systems /  |c edited by J. Kertész and R.N. Mantegna, directors of the course, and S. Miccichè. 
264 1 |a Amsterdam, Netherlands :  |b IOS Press,  |c 2019. 
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 
490 1 |a Proceedings of the International School of Physics "Enrico Fermi" ;  |v Course 203 
505 0 |a Intro -- Title Page -- Contents -- Preface -- Course group shot -- Virtual social science -- 1. Introduction -- 1.1. What is social science? -- 1.1.1. Social systems are continuously restructuring networks -- 1.2. Social systems are complex systems -- 1.2.1. What is co-evolution? -- 2. A virtual society -- 2.1. The universe: the Pardus game -- 2.1.1. The census of avatars -- 2.1.2. The structure of the universe -- 2.1.3. Trade and economy -- 2.1.4. Communication -- 2.1.5. Friends and enemies -- 2.1.6. Performance measures of players -- ""states -- 2.1.7. Alliances -- 3. How do people interact? 
505 8 |a 3.1. Testing a classic sociological hypothesis of social interaction: weak ties -- 3.1.1. How strong do people interact? -- Kepler's law -- 3.2. Forces between avatars -- Newton's law for social interactions? -- 4. How do people organize? -- 4.1. Dynamics of the ""atoms of society"": triadic closure -- 4.1.1. Testing triadic closure -- the triad-significance profile -- 4.2. Taking triadic closure seriously -- understandingsocial multilayer network structure -- 4.2.1. Characteristic exponents -- 4.3. Degree distributions for negative ties are power laws -- positive are not -- 4.4. Social balance 
505 8 |a 4.4.1. Origin of social balance -- 4.5. Avatars organize in multiples of four -- 4.5.1. Dunbar numbers -- 4.6. The behavioral code -- 4.6.1. Two ways of seeing the same data -- 4.6.2. Behavioral code and predicting behavior -- 4.6.3. Worldlines of players -- 4.6.4. Zipf's law in the human behavioral code -- 4.7. Network-network interactions -- 5. Gender differences -- 5.1. Gender differences in networking -- 5.1.1. Gender differences in network topology -- 5.1.2. Gender differences in temporal behavior -- 6. Mobility -- how avatars move in their universe 
505 8 |a 6.1. Jump- and waiting time distributions -- 6.2. Long-term memory and mobility -- 7. The wealth of virtual nations -- 7.1. More on the Pardus economy -- 7.2. Wealth -- 7.3. Inequality -- 7.4. Behavioral factors for wealth -- 7.4.1. Influence of activity on wealth -- 7.4.2. Influence of achievement factors on wealth -- 7.4.3. Wealth depends on how social you are -- 7.5. Wealth and position in the multilayer network -- 8. Towards a new social science? -- Measuring social and political phenomena on the web -- 1. Background and motivation -- 2. Measuring gender inequality on Wikipedia 
505 8 |a 3. Modeling minorities in social networks -- 4. Measuring voting power and behavior in liquid democracy -- 5. Conclusions -- Science of success: An introduction -- 1. Introduction -- 2. Performance and success -- 2.1. Performance drives success -- 2.2. Performance is bounded -- 3. Success as a collective phenomenon -- 3.1. Success or recognition is unbounded -- 3.2. Success breeds success -- 3.3. Quality times previous success determines future success -- 4. Science of science -- 4.1. Quantifying long-term scientific impact -- 4.2. The Q-model -- 4.3. Credit is based on perception, not performance 
588 0 |a Online resource; title from PDF title page (IOS Press, viewed January 15, 2020). 
590 |a eBooks on EBSCOhost  |b EBSCO eBook Subscription Academic Collection - Worldwide 
650 0 |a Social sciences  |x Data processing  |v Congresses. 
650 0 |a Social sciences  |x Mathematical models  |v Congresses. 
650 6 |a Sciences sociales  |x Informatique  |v Congrès. 
650 6 |a Sciences sociales  |x Modèles mathématiques  |v Congrès. 
650 7 |a Social sciences  |x Data processing.  |2 fast  |0 (OCoLC)fst01122901 
650 7 |a Social sciences  |x Mathematical models.  |2 fast  |0 (OCoLC)fst01122931 
655 7 |a Conference papers and proceedings.  |2 fast  |0 (OCoLC)fst01423772 
655 7 |a Conference papers and proceedings.  |2 lcgft 
655 7 |a Actes de congrès.  |2 rvmgf 
700 1 |a Kertész, János,  |d 1950-  |e editor. 
700 1 |a Mantegna, Rosario N.  |q (Rosario Nunzio),  |d 1960-  |e editor. 
700 1 |a Micciché, Salvo,  |e editor. 
776 0 8 |i Print version:  |t Computational social science and complex systems.  |d Amsterdam, Netherlands : IOS Press, 2019  |z 1643680366  |z 9781643680361  |w (OCoLC)1130034858 
811 2 |a International School of Physics "Enrico Fermi."  |t Proceedings of the International School of Physics "Enrico Fermi" ;  |v Course 203. 
856 4 0 |u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2345976  |z Texto completo 
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938 |a EBSCOhost  |b EBSC  |n 2345976 
938 |a YBP Library Services  |b YANK  |n 301041534 
994 |a 92  |b IZTAP