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|a UAMI
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|a Computational social science and complex systems /
|c edited by J. Kertész and R.N. Mantegna, directors of the course, and S. Miccichè.
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|a Amsterdam, Netherlands :
|b IOS Press,
|c 2019.
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|a 1 online resource
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|a text
|b txt
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|a online resource
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|a Proceedings of the International School of Physics "Enrico Fermi" ;
|v Course 203
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|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?
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|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
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|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
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|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
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|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
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|a Online resource; title from PDF title page (IOS Press, viewed January 15, 2020).
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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650 |
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|a Social sciences
|x Data processing
|v Congresses.
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650 |
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|a Social sciences
|x Mathematical models
|v Congresses.
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650 |
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|a Sciences sociales
|x Informatique
|v Congrès.
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650 |
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|a Sciences sociales
|x Modèles mathématiques
|v Congrès.
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650 |
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7 |
|a Social sciences
|x Data processing.
|2 fast
|0 (OCoLC)fst01122901
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650 |
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7 |
|a Social sciences
|x Mathematical models.
|2 fast
|0 (OCoLC)fst01122931
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655 |
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|a Conference papers and proceedings.
|2 fast
|0 (OCoLC)fst01423772
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655 |
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|a Conference papers and proceedings.
|2 lcgft
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655 |
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|a Actes de congrès.
|2 rvmgf
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700 |
1 |
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|a Kertész, János,
|d 1950-
|e editor.
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700 |
1 |
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|a Mantegna, Rosario N.
|q (Rosario Nunzio),
|d 1960-
|e editor.
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700 |
1 |
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|a Micciché, Salvo,
|e editor.
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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 |
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|a International School of Physics "Enrico Fermi."
|t Proceedings of the International School of Physics "Enrico Fermi" ;
|v Course 203.
|
856 |
4 |
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