{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T04:01:19Z","timestamp":1773979279479,"version":"3.50.1"},"reference-count":11,"publisher":"Tsinghua University Press","issue":"1","license":[{"start":{"date-parts":[[2018,6,6]],"date-time":"2018-06-06T00:00:00Z","timestamp":1528243200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJCS"],"published-print":{"date-parts":[[2018,7,10]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>As main mode of modern service industry and future economy society, the research on crowd network can greatly facilitate governances of economy society and make it more efficient, humane, sustainable and at the same time avoid disorders. However, because most results cannot be observed in real world, the research of crowd network cannot follow a traditional way. Simulation is the main means to put forward related research studies. Compared with other large-scale interactive simulations, simulation for crowd network has challenges of dynamic, diversification and massive participants. Fortunately, known as the most famous and widely accepted standard, high level architecture (HLA) has been widely used in large-scale simulations. But when it comes to crowd network, HLA has shortcomings like fixed federation, limited scale and agreement outside the software system.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>This paper proposes a novel reflective memory-based framework for crowd network simulations. The proposed framework adopts a two-level federation-based architecture, which separates simulation-related environments into physical and logical aspect to enhance the flexibility of simulations. Simulation definition is introduced in this architecture to resolve the problem of outside agreements and share resources pool (constructed by reflective memory) is used to address the systemic emergence and scale problem.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>With reference to HLA, this paper proposes a novel reflective memory-based framework toward crowd network simulations. The proposed framework adopts a two-level federation-based architecture, system-level simulation (system federation) and application-level simulation (application federations), which separates simulation-related environments into physical and logical aspect to enhance the flexibility of simulations. Simulation definition is introduced in this architecture to resolve the problem of outside agreements and share resources pool (constructed by reflective memory) is used to address the systemic emergence and scale problem.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>Simulation syntax and semantic are all settled under this framework by templates, especially interface templates, as simulations are separated by two-level federations, physical and logical simulation environment are considered separately; the definition of simulation execution is flexible. When developing new simulations, recompile is not necessary, which can acquire much more reusability, because reflective memory is adopted as share memory within given simulation execution in this framework; population can be perceived by all federates, which greatly enhances the scalability of this kind of simulations; communication efficiency and capability has greatly improved by this share memory-based framework.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/ijcs-01-2018-0004","type":"journal-article","created":{"date-parts":[[2018,6,6]],"date-time":"2018-06-06T13:11:00Z","timestamp":1528290660000},"page":"74-84","source":"Crossref","is-referenced-by-count":5,"title":["A reflective memory based framework for crowd network simulations"],"prefix":"10.26599","volume":"2","author":[{"given":"Sun","family":"Hongbo","sequence":"first","affiliation":[]},{"given":"Mi","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"11138","published-online":{"date-parts":[[2018,6,6]]},"reference":[{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/SIMS.2016.32"},{"key":"ref3","first-page":"110","article-title":"Comparison of agent-based simulation platforms","volume":"23","author":"chen","year":"2011","journal-title":"Journal of System Simulation (in Chinese)"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/2897073.2897099"},{"key":"ref6","year":"2000","journal-title":"IEEE Standard for Modeling and Simulation (M&S) High Level Architecture (HLA) &#x2013; Framework and Rules"},{"key":"ref11","first-page":"3142","article-title":"PSO based combinational auction model and its swarm based simulation","volume":"36","author":"zheng","year":"2016","journal-title":"Systems Engineering &#x2013; Theory & Practice (in Chinese)"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1126\/science.aad6499"},{"key":"ref8","first-page":"104","article-title":"Modelling and simulation for rumor propagation on complex networks with repast simulation platform","author":"sun","year":"2017","journal-title":"4th International Conference on Information Science and Control Engineering (ICISCE)"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1162\/artl.2007.13.3.303"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1108\/IJCS-01-2017-0004"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/WSC.2017.8248156"},{"key":"ref1","article-title":"A survey on reflective memory systems","author":"baek","year":"2002","journal-title":"Proceedings on the 15th CISL Winter Workshop"}],"container-title":["International Journal of Crowd Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/IJCS-01-2018-0004\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/IJCS-01-2018-0004\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,12]],"date-time":"2022-07-12T14:02:14Z","timestamp":1657634534000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/IJCS-01-2018-0004\/full\/html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6,6]]},"references-count":11,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2018,6,6]]},"published-print":{"date-parts":[[2018,7,10]]}},"alternative-id":["10.1108\/IJCS-01-2018-0004"],"URL":"https:\/\/doi.org\/10.1108\/ijcs-01-2018-0004","relation":{},"ISSN":["2398-7294"],"issn-type":[{"value":"2398-7294","type":"print"}],"subject":[],"published":{"date-parts":[[2018,6,6]]}}}