Multi-Agent Systems and Complex Networks: Review and Applications in Systems Engineering

Systems engineering is an ubiquitous discipline of Engineering overlapping industrial, chemical, mechanical, manufacturing, control, software, electrical, and civil engineering. It provides tools for dealing with the complexity and dynamics related to the optimisation of physical, natural, and virtual systems management. This paper presents a review of how multi-agent systems and complex networks theory are brought together to address systems engineering and management problems. The review also encompasses current and future research directions both for theoretical fundamentals and applications in the industry. This is made by considering trends such as mesoscale, multiscale, and multilayer networks along with the state-of-art analysis on network dynamics and intelligent networks. Critical and smart infrastructure, manufacturing processes, and supply chain networks are instances of research topics for which this literature review is highly relevant.

[1]  Abdul Salam Jarrah,et al.  A Mathematical Framework for Agent Based Models of Complex Biological Networks , 2010, Bulletin of mathematical biology.

[2]  Matti Lehtonen,et al.  A review: Agents in smart grids , 2016 .

[3]  Ziyang Meng,et al.  A survey of distributed optimization , 2019, Annu. Rev. Control..

[4]  P. Manuel Computational Aspects of Carbon and Boron Nanotubes , 2010, Molecules.

[5]  M E J Newman,et al.  Community structure in social and biological networks , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[6]  Jay Lee,et al.  Smart Agents in Industrial Cyber–Physical Systems , 2016, Proceedings of the IEEE.

[7]  Neil A. Duffie,et al.  Non Hierarchical Control of a Flexible Manufacturing Cell , 1987 .

[8]  Carlo Giudicianni,et al.  Topological Taxonomy of Water Distribution Networks , 2018 .

[9]  Idel Montalvo,et al.  Multi-agent adaptive boosting on semi-supervised water supply clusters , 2012, Adv. Eng. Softw..

[10]  Ilkka Seilonen,et al.  Agent-based modeling and simulation of a smart grid: A case study of communication effects on frequency control , 2014, Eng. Appl. Artif. Intell..

[11]  Geoff Boeing,et al.  Planarity and street network representation in urban form analysis , 2018, Environment and Planning B: Urban Analytics and City Science.

[12]  Luc Bongaerts,et al.  Reference architecture for holonic manufacturing systems: PROSA , 1998 .

[13]  Arthur C. Graesser,et al.  Is it an Agent, or Just a Program?: A Taxonomy for Autonomous Agents , 1996, ATAL.

[14]  Yicheng Zhang,et al.  Dynamics of information diffusion and its applications on complex networks , 2016 .

[15]  Alessandro Rozza,et al.  Dynamic Graph Convolutional Networks , 2017, Pattern Recognit..

[16]  Filippo Radicchi,et al.  Optimal percolation on multiplex networks , 2017, Nature Communications.

[17]  Matjaz Perc,et al.  Information cascades in complex networks , 2017, J. Complex Networks.

[18]  Rodger Kibble,et al.  Speech acts, commitment and multi-agent communication , 2006, Comput. Math. Organ. Theory.

[19]  Enrico Zio,et al.  Network reliability analysis based on percolation theory , 2015, Reliab. Eng. Syst. Saf..

[20]  Krzysztof Suchecki,et al.  Voter model dynamics in complex networks: Role of dimensionality, disorder, and degree distribution. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[21]  M. Newman Analysis of weighted networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[22]  Leire Labaka,et al.  Modelling methodologies for analysing critical infrastructures , 2018, J. Simulation.

[23]  Minghua Hu,et al.  Systemic Congestion Propagation in the Airspace Network , 2018 .

[24]  Jean-Charles Delvenne,et al.  Multiscale dynamical embeddings of complex networks , 2018, Physical review. E.

[25]  Alexandra Brintrup,et al.  Supply network science: Emergence of a new perspective on a classical field. , 2018, Chaos.

[26]  Jari Saramäki,et al.  Temporal Networks , 2011, Encyclopedia of Social Network Analysis and Mining.

[27]  Paulo Leitão,et al.  Agent-based distributed manufacturing control: A state-of-the-art survey , 2009, Eng. Appl. Artif. Intell..

[28]  Eric Bonabeau,et al.  Agent-based modeling: Methods and techniques for simulating human systems , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[29]  S. Strogatz Exploring complex networks , 2001, Nature.

[30]  Yifang Ban,et al.  Complex Network Topology of Transportation Systems , 2013 .

[31]  Khaled Salah,et al.  Blockchain for AI: Review and Open Research Challenges , 2019, IEEE Access.

[32]  Ziyou Gao,et al.  Clustering and congestion effects on cascading failures of scale-free networks , 2007 .

[33]  Jie Ding,et al.  Key Nodes Selection in Controlling Complex Networks via Convex Optimization , 2019, IEEE Transactions on Cybernetics.

[34]  Hyacinth S. Nwana,et al.  Software agents: an overview , 1996, The Knowledge Engineering Review.

[35]  Pavle Bujanovic,et al.  Development of a simulation platform for safety impact analysis considering vehicle dynamics, sensor errors, and communication latencies: Assessing cooperative adaptive cruise control under cyber attack , 2018, Transportation Research Part C: Emerging Technologies.

[36]  Yamir Moreno,et al.  Theory of Rumour Spreading in Complex Social Networks , 2007, ArXiv.

[37]  Duanbing Chen,et al.  Vital nodes identification in complex networks , 2016, ArXiv.

[38]  Dirk P. Kroese,et al.  Why the Monte Carlo method is so important today , 2014 .

[39]  Initial Machine Learning Framework Development of Agriculture Cyber Physical Systems , 2019 .

[40]  David M. Dilts,et al.  The evolution of control architectures for automated manufacturing systems , 1991 .

[41]  Elmar Kiesling,et al.  Agent-based simulation of innovation diffusion: a review , 2011, Central European Journal of Operations Research.

[42]  Botond Kádár,et al.  Hierarchy in distributed shop floor control , 2000 .

[43]  Shlomo Havlin,et al.  Recent Progress on the Resilience of Complex Networks , 2015 .

[44]  Ginestra Bianconi,et al.  Percolation in multiplex networks with overlap. , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.

[45]  Zhonghua Yang,et al.  Agent that models, reasons and makes decisions , 2002, Knowl. Based Syst..

[46]  Bin Hu,et al.  Application of Epidemiology Model on Complex Networks in Propagation Dynamics of Airspace Congestion , 2016, PloS one.

[47]  Rene Kamphuis,et al.  The role of natural gas in smart grids , 2011 .

[48]  Conrado J. Pérez Vicente,et al.  Diffusion dynamics on multiplex networks , 2012, Physical review letters.

[49]  Lakhmi C. Jain,et al.  The Link between Agent Coordination and Cooperation , 2006, Intelligent Information Processing.

[50]  Ying Wang,et al.  Complex networks repair strategies: Dynamic models , 2017 .

[51]  Giovanni Egidio Pazienza,et al.  Eve: A Novel Open-Source Web-Based Agent Platform , 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

[52]  Bruno Melo Brentan,et al.  Social Network Community Detection and Hybrid Optimization for Dividing Water Supply into District Metered Areas , 2018 .

[53]  Jean-Pierre Bardet,et al.  Epidemiology of urban water distribution systems , 2014 .

[54]  Vassilios G. Agelidis,et al.  Network Topology Independent Multi-Agent Dynamic Optimal Power Flow for Microgrids With Distributed Energy Storage Systems , 2018, IEEE Transactions on Smart Grid.

[55]  M. Prokopenko,et al.  Percolation Centrality: Quantifying Graph-Theoretic Impact of Nodes during Percolation in Networks , 2013, PloS one.

[56]  Thilo Gross,et al.  Design of Self-Organizing Networks: Creating Specified Degree Distributions , 2016, IEEE Transactions on Network Science and Engineering.

[57]  Igor Nikolic,et al.  On the development of Agent-Based Models for infrastructure evolution , 2008, 2008 First International Conference on Infrastructure Systems and Services: Building Networks for a Brighter Future (INFRA).

[58]  Zhongmin Wang,et al.  Trust-based distributed Kalman filtering for target tracking under malicious cyber attacks , 2019, Inf. Fusion.

[59]  Avi Ostfeld,et al.  Battle of the Attack Detection Algorithms: Disclosing Cyber Attacks on Water Distribution Networks , 2018, Journal of Water Resources Planning and Management.

[60]  Peter E.D. Love,et al.  An IFC-inspection process model for infrastructure projects: Enabling real-time quality monitoring and control , 2017 .

[61]  Joaquín Izquierdo,et al.  GPR data analysis using multi-agent and clustering approaches: A tool for technical management of water supply systems , 2014, Digit. Signal Process..

[62]  Zhao Yang Dong,et al.  A Framework for Cyber-Topology Attacks: Line-Switching and New Attack Scenarios , 2019, IEEE Transactions on Smart Grid.

[63]  Edo Abraham,et al.  A Graph-Theoretic Framework for Assessing the Resilience of Sectorised Water Distribution Networks , 2016, Water Resources Management.

[64]  Manfred Morari,et al.  Model predictive control: Theory and practice - A survey , 1989, Autom..

[65]  M. Herrera,et al.  Applications of Graph Spectral Techniques to Water Distribution Network Management , 2018 .

[66]  Syed Tahir Hussain Rizvi,et al.  Multi-Agent Cooperative Control Consensus: A Comparative Review , 2018 .

[67]  John Skvoretz,et al.  Node centrality in weighted networks: Generalizing degree and shortest paths , 2010, Soc. Networks.

[68]  Boleslaw K. Szymanski,et al.  Limits of Predictability of Cascading Overload Failures in Spatially-Embedded Networks with Distributed Flows , 2017, Scientific Reports.

[69]  Yicheng Zhang,et al.  Identifying influential nodes in complex networks , 2012 .

[70]  Alexandre Arenas,et al.  Centralities of Nodes and Influences of Layers in Large Multiplex Networks , 2017, J. Complex Networks.

[71]  Vladimír Marík,et al.  Industrial adoption of agent-based technologies , 2005, IEEE Intelligent Systems.

[72]  Xifan Yao,et al.  Smart manufacturing based on cyber-physical systems and beyond , 2017, Journal of Intelligent Manufacturing.

[73]  Andrew S. Tanenbaum,et al.  A brief introduction to distributed systems , 2016, Computing.

[74]  Nicholas R. Jennings,et al.  Intelligent agents: theory and practice , 1995, The Knowledge Engineering Review.

[75]  Duncan C. McFarlane,et al.  Product intelligence in industrial control: Theory and practice , 2013, Annu. Rev. Control..

[76]  Michael J. North,et al.  Tutorial on agent-based modelling and simulation , 2005, Proceedings of the Winter Simulation Conference, 2005..

[77]  Xinghuo Yu,et al.  Enhancement of Synchronizability in Networks with Community Structure through Adding Efficient Inter-Community Links , 2016, IEEE Transactions on Network Science and Engineering.

[78]  M. Newman,et al.  Fast Monte Carlo algorithm for site or bond percolation. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[79]  M. Perc,et al.  Network science of biological systems at different scales: A review. , 2017, Physics of life reviews.

[80]  Jing Zhao,et al.  Complex networks theory for analyzing metabolic networks , 2006, q-bio/0603015.

[81]  Hernán A. Makse,et al.  Influence maximization in complex networks through optimal percolation , 2015, Nature.

[82]  Paulo Leitao,et al.  Simulation of multi-agent manufacturing systems using Agent-Based Modelling platforms , 2011, 2011 9th IEEE International Conference on Industrial Informatics.

[83]  Hao Liao,et al.  Ranking in evolving complex networks , 2017, ArXiv.

[84]  Federico Baronti,et al.  Modeling, Control, and Integration of Energy Storage Systems in E-Transportation and Smart Grid , 2018, IEEE Trans. Ind. Electron..

[85]  Glenn Lawyer,et al.  Understanding the influence of all nodes in a network , 2015, Scientific Reports.

[86]  Réka Albert,et al.  Structural vulnerability of the North American power grid. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[87]  Vassily Hatzimanikatis,et al.  Modeling metabolic networks of individual bacterial agents in heterogeneous and dynamic soil habitats (IndiMeSH) , 2019, PLoS Comput. Biol..

[88]  Federica Pascucci,et al.  Monitoring system reaction in cyber-physical testbed under cyber-attacks , 2017, Comput. Electr. Eng..

[89]  Francesco Archetti,et al.  Smart water in urban distribution networks: limited financial capacity and Big Data analytics , 2014 .

[90]  Mason A. Porter,et al.  Multilayer networks , 2013, J. Complex Networks.

[91]  Armando Carravetta,et al.  Zero-net energy management for the monitoring and control of dynamically-partitioned smart water systems , 2020 .

[92]  Marco Aiello,et al.  Power grid complex network evolutions for the smart grid , 2014 .

[93]  Jean-Claude Hennet,et al.  Coordination and optimization in oil and gas production complexes , 2004, Comput. Ind..

[94]  Kai Strunz,et al.  Implementation Schemes for Electric Bus Fleets at Depots with Optimized Energy Procurements in Virtual Power Plant Operations , 2019, World Electric Vehicle Journal.

[95]  R. Guimerà,et al.  Functional cartography of complex metabolic networks , 2005, Nature.

[96]  Leo Katz,et al.  A new status index derived from sociometric analysis , 1953 .

[97]  Sanjay E. Sarma,et al.  Auto ID systems and intelligent manufacturing control , 2003 .

[98]  Mason A. Porter,et al.  Author Correction: The physics of spreading processes in multilayer networks , 2016, 1604.02021.

[99]  P. Stadler,et al.  Centers of complex networks. , 2003, Journal of theoretical biology.

[100]  Lubos Buzna,et al.  Resilience of Natural Gas Networks during Conflicts, Crises and Disruptions , 2013, PloS one.

[101]  Lei Deng,et al.  Enabling Controlling Complex Networks with Local Topological Information , 2018, Scientific Reports.

[102]  Siddharth Suryanarayanan,et al.  Some characteristics of emerging distribution systems considering the smart grid initiative , 2010 .

[103]  Pramod P. Khargonekar,et al.  Smart grids cyber-physical security as a malicious data attack: An innovation approach , 2017 .

[104]  S. Shen-Orr,et al.  Social network architecture of human immune cells unveiled by quantitative proteomics , 2017, Nature Immunology.

[105]  V. Latora,et al.  The backbone of a city , 2005, physics/0511063.

[106]  Hendrik Van Brussel,et al.  Multi-agent coordination and control using stigmergy , 2004, Comput. Ind..

[107]  Reza Olfati-Saber,et al.  Consensus and Cooperation in Networked Multi-Agent Systems , 2007, Proceedings of the IEEE.

[108]  Gerd Brewka,et al.  Artificial intelligence - a modern approach by Stuart Russell and Peter Norvig, Prentice Hall. Series in Artificial Intelligence, Englewood Cliffs, NJ , 1996, The Knowledge Engineering Review.

[109]  Henry Hexmoor,et al.  A model of absolute autonomy and power: Toward group effects , 2002, Connect. Sci..

[110]  J. Nagler,et al.  Emergence of core–peripheries in networks , 2016, Nature Communications.

[111]  V. Latora,et al.  Centrality measures in spatial networks of urban streets. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[112]  Marco Aiello,et al.  The Power Grid as a Complex Network: a Survey , 2011, ArXiv.

[113]  Albert-László Barabási,et al.  Universal resilience patterns in complex networks , 2016, Nature.

[114]  Piet Van Mieghem,et al.  Assortativity in complex networks , 2015, J. Complex Networks.

[115]  Wei Li,et al.  Recent Progress in Some Active Topics on Complex Networks , 2015 .

[116]  Vito Latora,et al.  Elementary processes governing the evolution of road networks , 2012, Scientific Reports.

[117]  Goran Strbac,et al.  Value of gas network infrastructure flexibility in supporting cost effective operation of power systems , 2017 .

[118]  Roman Šperka,et al.  Transaction costs influence on the stability of financial market: agent-based simulation , 2013 .

[119]  Naima Kaabouch,et al.  Multi-Agent Systems for Resource Allocation and Scheduling in a Smart Grid , 2018, Technology and Economics of Smart Grids and Sustainable Energy.

[120]  Marc Barthelemy,et al.  The simplicity of planar networks , 2013, Scientific Reports.

[121]  M. Marchesi,et al.  Agent-based simulation of a financial market , 2001, cond-mat/0103600.

[122]  Devika Subramanian,et al.  Interface Network Models for Complex Urban Infrastructure Systems , 2011 .

[123]  Wilhelm T S Huck,et al.  Grip on complexity in chemical reaction networks , 2017, Beilstein journal of organic chemistry.

[124]  Si Zhang,et al.  Graph convolutional networks: a comprehensive review , 2019, Computational Social Networks.

[125]  Mohsen Guizani,et al.  Mobile application security: malware threats and defenses , 2015, IEEE Wireless Communications.

[126]  Piet Van Mieghem,et al.  Epidemic processes in complex networks , 2014, ArXiv.

[127]  Kazumi Saito,et al.  Estimating node connectedness in spatial network under stochastic link disconnection based on efficient sampling , 2019, Appl. Netw. Sci..

[128]  Ragupathy Venkatachalam,et al.  Agent-based modelling as a foundation for big data , 2017 .

[129]  Dawei Zhao,et al.  Multiple routes transmitted epidemics on multiplex networks , 2013, ArXiv.

[130]  Ashutosh Tiwari,et al.  Supply Networks as Complex Systems: A Network-Science-Based Characterization , 2017, IEEE Systems Journal.

[131]  Dan Braha,et al.  From Centrality to Temporary Fame: Dynamic Centrality in Complex Networks , 2006, Complex..

[132]  Mehmet Hadi Gunes,et al.  Complex network of United States migration , 2019, Computational Social Networks.

[133]  Qinghua Zhu,et al.  Optimization of Coverage in 5G Self-Organizing Small Cell Networks , 2018, Mob. Networks Appl..

[134]  Jinde Cao,et al.  Multiagent Systems on Multilayer Networks: Synchronization Analysis and Network Design , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[135]  Miguel Ayala Botto,et al.  SCADA system with predictive controller applied to irrigation canals , 2013 .

[136]  Albert-László Barabási,et al.  Statistical mechanics of complex networks , 2001, ArXiv.

[137]  HyungJun Kim,et al.  Reducing security vulnerabilities for critical infrastructure , 2009 .

[138]  Shlomo Havlin,et al.  Recent advances on failure and recovery in networks of networks , 2016 .

[139]  Albert-László Barabási,et al.  Scale-Free Networks: A Decade and Beyond , 2009, Science.

[140]  Paul Valckenaers,et al.  Emergent flow shop control based on MASCADA agents , 2000 .

[141]  Nicholas R. Jennings,et al.  Agent Theories, Architectures, and Languages: A Survey , 1995, ECAI Workshop on Agent Theories, Architectures, and Languages.

[142]  Oriol Lordan,et al.  Study of the topology and robustness of airline route networks from the complex network approach: a survey and research agenda , 2014 .

[143]  Xue-Gang Chen A novel reliability estimation method of complex network based on Monte Carlo , 2017, Cluster Computing.

[144]  Kin-Ping Hui Monte Carlo Network Reliability Ranking Estimation , 2007, IEEE Transactions on Reliability.

[145]  Sang Hoon Lee,et al.  Density-Based and Transport-Based Core-Periphery Structures in Networks , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.

[146]  Ross J. Anderson,et al.  Temporal node centrality in complex networks. , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

[147]  P. Bonacich Factoring and weighting approaches to status scores and clique identification , 1972 .

[148]  Ashutosh Tiwari,et al.  Systemic Risk Assessment in Complex Supply Networks , 2018, IEEE Systems Journal.

[149]  Leonard M. Freeman,et al.  A set of measures of centrality based upon betweenness , 1977 .

[150]  Kate Ching-Ju Lin,et al.  Deploying Chains of Virtual Network Functions: On the Relation Between Link and Server Usage , 2018, IEEE/ACM Transactions on Networking.

[151]  Yu Chen,et al.  Cascading Failure Analysis of Cyber Physical Power System With Multiple Interdependency and Control Threshold , 2018, IEEE Access.

[152]  Gang Yang,et al.  Structure-based control of complex networks with nonlinear dynamics , 2016, Proceedings of the National Academy of Sciences.

[153]  Abder Koukam,et al.  Multi-agent systems for grid energy management: A short review , 2010, IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society.

[154]  Jovica V. Milanović,et al.  Modeling of Interconnected Critical Infrastructure Systems Using Complex Network Theory , 2018, IEEE Transactions on Smart Grid.

[155]  Paulo Leitão,et al.  Industrial automation based on cyber-physical systems technologies: Prototype implementations and challenges , 2016, Comput. Ind..

[156]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[157]  Yunpeng Wang,et al.  Percolation transition in dynamical traffic network with evolving critical bottlenecks , 2014, Proceedings of the National Academy of Sciences.

[158]  Jens Krause,et al.  The evolutionary and ecological consequences of animal social networks: emerging issues. , 2014, Trends in ecology & evolution.

[159]  John Lygeros,et al.  A fault tolerant control architecture for automated highway systems , 2000, IEEE Trans. Control. Syst. Technol..

[160]  Edward J.S. Hearnshaw,et al.  A complex network approach to supply chain network theory , 2013 .

[161]  Sankaran Mahadevan,et al.  Resilience-based network design under uncertainty , 2018, Reliab. Eng. Syst. Saf..

[162]  A. Arenas,et al.  Mathematical Formulation of Multilayer Networks , 2013, 1307.4977.

[163]  M. Gompper,et al.  A model-based approach for investigation and mitigation of disease spillover risks to wildlife: Dogs, foxes and canine distemper in central India , 2015 .

[164]  Andrew J. Evans,et al.  Dynamic calibration of agent-based models using data assimilation , 2016, Royal Society Open Science.

[165]  Sergey Brin,et al.  Reprint of: The anatomy of a large-scale hypertextual web search engine , 2012, Comput. Networks.

[166]  Michael J. North,et al.  Agent-based modeling and simulation , 2009, Proceedings of the 2009 Winter Simulation Conference (WSC).

[167]  Damith Chinthana Ranasinghe,et al.  Will Intelligent Assets Take Off? Toward Self-Serving Aircraft , 2011, IEEE Intelligent Systems.

[168]  Leonardo Dueñas-Osorio,et al.  Exploring Topological Effects on Water Distribution System Performance Using Graph Theory and Statistical Models , 2017 .

[169]  G. Caldarelli,et al.  The spreading of misinformation online , 2016, Proceedings of the National Academy of Sciences.

[170]  D. McFarlane,et al.  Holonic Manufacturing Control: Rationales, Developments and Open Issues , 2003 .

[171]  Hans Heesterbeek,et al.  Effects of heterogeneity in infection-exposure history and immunity on the dynamics of a protozoan parasite , 2007, Journal of The Royal Society Interface.

[172]  Nicholas R. Jennings,et al.  Coordination in software agent systems , 1996 .

[173]  Marc Barthelemy,et al.  Towards a classification of planar maps , 2018, Physical Review E.

[174]  A.L. Dimeas,et al.  Operation of a multiagent system for microgrid control , 2005, IEEE Transactions on Power Systems.

[175]  Yacine Rezgui,et al.  An integrated framework utilising software agent reasoning and ontology models for sensor based building monitoring , 2015 .

[176]  Franco Zambonelli,et al.  Developing pervasive multi-agent systems with nature-inspired coordination , 2015, Pervasive Mob. Comput..

[177]  Enrico Zio,et al.  From complexity science to reliability efficiency: a new way of looking at complex network systems and critical infrastructures , 2007, Int. J. Crit. Infrastructures.

[178]  Marián Boguñá,et al.  Clustering in complex networks. I. General formalism. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[179]  Geoff Boeing,et al.  OSMnx: New Methods for Acquiring, Constructing, Analyzing, and Visualizing Complex Street Networks , 2016, Comput. Environ. Urban Syst..

[180]  Ajith Kumar Parlikad,et al.  Collaborative prognostics in Social Asset Networks , 2019, Future Gener. Comput. Syst..

[181]  KarnouskosStamatis,et al.  Human Factors in Industrial Automation based on Cyber Physical Systems Technologies , 2016 .