Zhou / Akan / Bellavista Complex Sciences

First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009. Revised Selcted Papers, Part II
1. Auflage 2009
ISBN: 978-3-642-02469-6
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 5, 1268 Seiten

Reihe: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

This book constitutes the thoroughly refereed post-conference proceedings of the First International Conference on Complex Sciences, Complex 2009, held in Shanghai, China, in February 2009. The 227 revised full papers presented together with 23 papers from five collated workshops (COART, ComplexCCS, ComplexEN, MANDYN, SPA) were carefully reviewed and selected. The papers address the following topics: theory of art and music, causality in complex systems, engineering networks, modeling and analysis of human dynamics, social physics and its applications, structure and dynamics of complex networks, complex biological systems, complex economic systens, complex social systems, complex engineering systems, as well as complex systems methods.

Autoren/Hrsg.

Akan, Ozgur

Bellavista, Paolo

Cao, Jiannong

Dressler, Falko

Ferrari, Domenico

Gerla, Mario

K, Hisashi

Zhou, Jie

Inhaltsverzeichnis

1;Preface;5
2;Organization;7
3;Technical Program Committee;8
4;Chaotic and Hyperchaotic Attractors in Time-Delayed Neural Networks;33
4.1;1 Introduction;33
4.2;2 Background of the Model;34
4.3;3 Existence of Equilibrium Point and Hopf Bifurcation;34
4.4;4 Chaotic and Hyperchaotic Behavior;37
4.5;5 Conclusion;41
4.6;References;41
5;Channel Estimation and ISI/ICI Cancellation with for MIMO-OFDM Systems Insufficient Cyclic Prefix;43
5.1;1 Introduction;43
5.2;2 Signal Model;44
5.3;3 Proposed Channel Estimation with EM Algorithm and ISI/ICI Cancellation;47
6;Briefly Review of China High Technology Networks;78
6.1;1 Introduction;78
6.2;2 Classifying the CHTN;79
6.3;3 Analysis of the Data;80
6.4;4 Conclusions and Discussions;85
6.5;References;85
7;An Application on Merton Model in the Non-efficient Market;110
7.1;1 Introduction;110
7.2;2 The Original Merton Model;111
7.3;3 The Modified Merton Model;113
7.4;4 Empirical Analysis;117
7.5;5 Empirical Findings;118
7.6;References;120
8;A Novel Software Evolution Model Based on Software Networks;121
8.1;1 Introduction;121
8.2;2 Related Work;122
8.3;3 SEM-SN Model;122
8.4;4 SEM-SN Model;128
8.5;5 Conclusions;130
8.6;Acknowledgements;130
8.7;References;131
9;A New Genetic Algorithm for Community Detection;138
9.1;1 Introduction;138
9.2;2 Related Works;139
9.3;3 Genetic Algorithm for Community Detection;141
9.4;4 Experiments;145
9.5;5 Conclusion;148
9.6;References;148
10;A More Strict Definition of Steady State Degree Distribution;162
10.1;1 Introduction;162
10.2;2 Evolving Network and Steady State Degree Distribution;163
10.3;3 Two Special Types of Evolving Network;164
10.4;4 Conclusion;167
10.5;References;167
11;A Generating Method for Internet Topology with Multi-ASes and Multi-tiers*;203
11.1;1 Introduction;203
11.2;2 Topology Characters Analysis;204
11.3;3 A Multi-ASes-Multi-Tiers Internet Topology Model(MAMT);206
11.4;4 Conclusion;212
11.5;References;213
12;A Preliminary Study on the Effects of Fear Factors in Disease Propagation;227
12.1;1 Introduction;227
12.2;2 Contact Network with Fear Factor;228
12.3;3 Epidemic Spreading in the Sampled Subnet;230
12.4;4 Conclusions;236
12.5;References;236
13;A Social Network Model Based on Topology Vision;238
13.1;1 Introduction;238
13.2;2 Background Knowledge;239
13.3;3 The Real Network Data;241
13.4;4 New Model;242
13.5;5 Simulation;243
13.6;6 Conclusion and Future Work;248
13.7;References;248
14;Agent-Based Modeling and Simulation on Emergency Evacuation;291
14.1;1 Introduction;291
14.2;2 ABMS and Repast;293
14.3;3 Crowd Simulation Model and Simulation;295
14.4;4 Experimentation and Results;297
14.5;5 Conclusion and Future Work;299
14.6;References;300
15;Adjustable Consensus of Mobile Agent Systems with Heterogeneous Delays;302
15.1;1 Introduction;302
15.2;2 Problem Descriptions;304
15.3;3 Adjustable Consensus of Mobile Agent System with Heterogeneous Delays;305
15.4;4 Simulation Experiments;309
15.5;5 Conclusions;310
15.6;Acknowledgements;310
15.7;References;311
16;A Study of Tacit Knowledge Transfer Based on Complex Networks Technology in Hierarchical Organizations;325
16.1;1 Introduction;325
16.2;2 Hierarchical Structure Organization and Its Tacit Knowledge;326
16.3;Transfer;326
16.4;3 The Analysis of Networks Model and Knowledge Transfer in;328
16.5;Hierarchical Organizations;328
16.6;4 Summary and Outlook;333
16.7;Acknowledgement;334
16.8;References;334
17;Exploring and Understanding Scientific Metrics in Citation Networks;390
17.1;1 Introduction;390
17.2;2 Data Set Description and Data Preprocessing;392
17.3;3 Paper Rank and PR-Hirsch;392
17.4;4 Exploring Paper Metrics;394
17.5;5 Exploring Author Metrics;401
17.6;6 Conclusions and Future Work;402
17.7;References;403
18;Evolving Model of Weighted Networks;415
18.1;1 Introduction;415
18.2;2 Modeling Weighted Networks;416
18.3;3 Analytical Results;418
18.4;4 Numerical Simulation;426
18.5;5 Summary;429
18.6;References;429
19;European Airlines’ TFP and the 2001 Attack: Towards Safety in a Risk Society;457
19.1;1 Introduction;457
19.2;2 Review of the Literature;458
19.3;3 Methodology;460
19.4;4 Empirical Implementation;461
19.5;5 Result Analysis;462
19.6;6 Policy Insights;464
19.7;7 Conclusions;466
19.8;References;466
19.9;Appendix;469
20;Establishing Causality in Complex Human Interactions: Identifying Breakdowns of Intentionality;471
20.1;1 Introduction;471
20.2;2 Background;472
20.3;3 Methodology;476
20.4;4 Diary Results;476
20.5;5 Discussion;478
20.6;6 Conclusions and Future Work;480
20.7;References;480
21;Finding Sales Promotion and Making Decision for New Product Based on Group Analysis of Edge-Enhanced Product Networks;494
21.1;1 Introduction;494
21.2;2 Related Work;495
21.3;3 Product Network;495
21.4;4 Edge Enhanced Model;497
21.5;5 Temporal Stable Group Detection;499
21.6;6 Characteristic of a Group;499
21.7;7 Experiments;502
21.8;8 Conclusion;504
21.9;References;505
22;Generalized Farey Tree Network with Small-World;518
22.1;1 Introduction;518
22.2;2 Construction Method of the Generalized Farey Tree Network ( GFTN);519
22.3;3 Topological Properties of the GFTN;521
22.4;4 Conclusions;529
22.5;References;529
23;Further Study on Proxy Authorization and Its Scheme;541
23.1;1 Introduction;541
23.2;2 Multi-party Proxy Authorization Scheme;543
23.3;3 Proxy Authorization for Multicast Communication;545
23.4;4 Anonymous Proxy Authorization Signature Based on ECC;547
23.5;5 Analyses of the Scheme with BAN Logic and Kailar Logic;550
23.6;6 Additional Properties of the Scheme;556
23.7;7 Conclusion and Future Work;557
23.8;References;557
24;Frequency Distributions of Sand Pile Models;583
24.1;1 Introduction;583
24.2;2 Sand Pile Models and Simulation Results;584
24.3;3 Discussion on the Forms of the Frequency Distributions;587
24.4;4 Conclusion;588
24.5;References;589
25;Entropy Based Detection of DDoS Attacks in Packet Switching Network Models;650
25.1;1 Introduction;650
25.2;2 PSN Model and Its DDoS Attack Customization;652
25.3;3 Entropy Functions;653
25.4;4 Virtual Experiment Setups of DDoS Attacks;653
25.5;5 Entropy Based Detection of DDoS Attacks in PSN Models;654
25.6;6 Conclusions;661
25.7;References;662
26;Constructing Searchable P2P Network with Randomly Selected Long-Distance Connections;700
26.1;1 P2P Network with Long-Distance Connections;700
26.2;2 Randomly Selected Long-Distance Connections;701
26.3;3 Conclusions and Open Questions;703
26.4;References;704
27;Complex Modelling of Open System Design for Sustainable Architecture;738
27.1;1 Introduction;738
27.2;2 A Paradigm of Entropy Evolution in Complex Open Systems;740
27.3;3 A Model of Open Systems Design for Building Environmental;742
27.4;Performance;742
27.5;4 Summary;744
27.6;References;745
28;Community Structure Detection in Complex Networks with Applications to Gas-Liquid Two-Phase Flow*;757
28.1;1 Introduction;757
28.2;2 Community-Detection Algorithm Based on Data Field Theory;758
28.3;3 Experiments and Analysis;760
28.4;4 Applications to Gas-Liquid Two-Phase Flow;762
28.5;5 Conclusion;767
28.6;Acknowledgments;767
28.7;References;767
29;Design of Multilphase Sinusoidal Oscillator Based on FTFN;769
29.1;1 Introduction;769
29.2;2 Circuit Description of FTFN;769
29.3;3 Circuit Principle of Multiphase Sinusoidal Oscillation;770
29.4;4 Simulations Results;772
29.5;5 Conclusions;773
29.6;References;773
30;Designing Capital-Intensive Systems with Architectural and Operational Flexibility Using a Screening Model;775
30.1;1 Introduction;775
30.2;2 Uncertainty and Flexibility in Capital-Intensive Systems;777
30.3;3 A Computational Framework;779
30.4;4 A Case Study in an Offshore Petroleum Project;781
30.5;5 Summary and Discussion;785
30.6;References;786
31;Emergence and Simulation;824
31.1;1 Philosophical Approaches to Emergence;824
31.2;2 Weak Emergence;825
31.3;3 Circumscribing Simulation;826
31.4;4 Full Simulation;828
31.5;5 Between Simulation and Analytic Derivation;830
31.6;6 Epistemological Ramifications of Derivation;833
31.7;7 Conclusions;836
31.8;References;836
32;Dynamics of Research Team Formation in Complex Networks;844
32.1;1 Introduction;844
32.2;2 Model of Research Team Formation;846
32.3;3 Numerical Simulations and Analysis;849
32.4;4 Conclusions and Future Work;853
32.5;References;854
33;Differential Forms: A New Tool in Economics;869
33.1;1 Introduction;869
33.2;2 Quesnay´s Biological Model;869
33.3;3 The Law of Economic Survival;870
33.4;4 Differential Forms and Their Integrals;871
33.5;5 The First Law of Economics;871
33.6;6 The Second Law of Economics;872
33.7;7 Econophysics;872
33.8;8 The Fundamental Law of Calculus Based Economics;872
33.9;9 Calculation of the Production Function;874
33.10;10 The Monetary Cycle;875
33.11;11 Capital Pumps;876
33.12;12 Economic Growth;877
33.13;13 Conclusion;879
33.14;References;879
34;Development of Road Traffic CA Model of 4-Way Intersection to Study Travel Time;880
34.1;1 Introduction;880
34.2;2 Rule 184;881
34.3;3 Our Experiments;884
34.4;4 Our Model;885
34.5;5 Conclusions;888
34.6;References;889
35;Complex Multi-modal Multi-level Influence Networks - Affordable Housing Case Study -;894
35.1;1 Introduction;894
35.2;2 The Complexity Framework;895
35.3;3 CMLI Networks – The Technique;897
35.4;4 Using CMLI Networks – Affordable Housing Example;898
35.5;5 Summary;902
35.6;References;903
36;Eigenvalue Based Stability Analysis for Asymmetric Complex Dynamical Networks;989
36.1;1 Introduction;989
36.2;2 Stabilization of Stationary State by Pinning Control;990
36.3;3 Conclusions;997
36.4;References;997
37;Complex Phenomena in Orchestras – Metaphors for Leadership and Enterprise;1024
37.1;1 Introduction;1024
37.2;2 The Complexity Framework;1025
37.3;3 Complex Behaviours in Orchestras;1026
37.4;4 Metaphors for Leadership and Enterprises;1032
37.5;5 Summary;1034
37.6;Acknowledgement;1035
37.7;References;1035
38;The Main Principles of Simulation Modeling of the Sustainable Development Complexes System: Case of World Economy;1078
38.1;1 Introduction;1078
38.2;2 Sustainable Development of the Global System: System Approach;1080
38.3;3 Development and Self-organization of the World Economy System;1081
38.4;4 Sustainable Development of the Global Civilization – Non-linear Dynamic System;1083
38.5;5 Formalization of the Global Civilization System Development;1084
38.6;6 Modeling of Development of the System “ Global Civilization”;1085
38.7;7 Objectives of Simulation Modeling;1085
38.8;References;1086
39;Control Mode of Public Emergency Response;1095
39.1;1 Introduction;1095
39.2;2 Lead-Control Mode;1096
39.3;3 Sync-Control Mode;1098
39.4;4 Delay-Control Mode;1100
39.5;5 Invalid-Control Mode;1102
39.6;6 Results and Discussion;1103
39.7;References;1104
40;The Influence Factors and Mechanism of Societal Risk Perception;1106
40.1;1 Introduction;1106
40.2;2 Method;1108
40.3;3 Result;1110
40.4;4 Discussion;1112
40.5;References;1113
41;Social Physics and the Flow of Migrant Peasant Workers;1116
41.1;1 Introduction;1116
41.2;2 Social Physics and Analysis of Differences between Urban and;1116
41.3;Rural;1116
41.4;3 The Differences of Cities’ Gravity and the Flow of Migrant Peasant Workers;1118
41.5;4 Policy Proposals Based on Social Physics;1121
41.6;References;1122
42;Social Physics and China’s Population Migration;1123
42.1;1 Social Physics;1123
42.2;2 China’s Regional Disparity;1124
42.3;3 Concept Model of Population Migration and Empirical Analysis;1127
42.4;4 Summary and Discussion;1131
42.5;References;1132
43;Social Combustion Theory: Dynamics of Social System Deterioration;1133
43.1;1 Introduction;1133
43.2;2 Social System Deterioration;1134
43.3;3 Social Combustion Theory (SCT);1135
43.4;4 Conclusion;1138
43.5;Acknowledgment;1139
43.6;References;1139
44;Research on the Best Time to Intervene into Network Public Opinion for Managers;1140
44.1;-Based on "Nankai Buick Affair"-;1140
44.2;1 Summary of the Network Public Opinion;1141
44.3;2 Data Sources and Basic Statistical Indicators;1142
44.4;3 Analysis of Network Public Opinion;1143
44.5;4 Choose the Best Time to Intervene for Managers;1146
44.6;5 Conclusion and Prospect;1148
44.7;References;1148
45;Research on the Best Time to Intervene into Network Public Opinion for Managers-Based on "Nankai Buick Affair"-;1149
45.1;1 Introduction;1149
45.2;2 Activation Energy and Gradual Activation Reaction Theory;1150
45.3;3 Analogy between Social Stability and Chemical Reaction Process;1153
45.4;4 Conclusion;1161
45.5;References;1163
46;Research on Early Warning of Chinese Food Safety Based on Social Physics;1164
46.1;1 Introduction;1164
46.2;2 Social Physics and Early Warning of Food Safety;1165
46.3;3 Constructing Early Warning System of Food Safety;1168
46.4;4 Calculation and Analysis;1170
46.5;5 Conclusions and Discussion;1175
46.6;References;1176
47;Qualitative Meta-synthesis Techniques for Analysis of Public Opinions for in-depth Study;1178
47.1;1 Introduction;1178
47.2;2 Qualitative Meta-synthesis;1179
47.3;3 Qualitative Meta-synthesis Technologies;1181
47.4;4 Applying iView and CorMap to Analysis of Word Association for Social Risks;1184
47.5;5 Concluding Remarks;1191
47.6;References;1192
48;Opinion Modeling Based on Meta-synthesis Approach;1194
48.1;1 Introduction;1194
48.2;2 Research on Opinion Models under Different Perspectives;1195
48.3;3 Opinion Modeling Based on Meta-synthesis Approach;1197
48.4;4 Concluding Remarks;1203
48.5;References;1203
49;Expert Mining for Solving Social Harmony Problems;1205
49.1;1 Introduction;1205
49.2;2 Meta-synthesis System Approach;1206
49.3;3 Expert Mining;1207
49.4;4 A Scientific Test on Discussing the Social Harmony;1207
49.5;5 Conclusion;1208
49.6;References;1208
50;Two-Dimensional Coupling Model on Social Deprivation and Its Application;1210
50.1;1 Introduction;1210
50.2;2 Model;1211
50.3;3 Application;1214
50.4;4 Conclusion;1216
50.5;References;1216
51;Modelling Uncertainty of Behaviour of Complex Economic System;1251
51.1;1 Introduction;1251
51.2;2 Uncertainty Development of the Economic Systems: Reasons and Consequences;1251
51.3;3 Model of Behavior Uncertainty of the Economic System;1253
51.4;References;1260
52;Author Index;1261