{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T04:25:02Z","timestamp":1747196702157,"version":"3.40.5"},"reference-count":25,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"12","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. &amp; Syst."],"published-print":{"date-parts":[[2014]]},"DOI":"10.1587\/transinf.2014pap0004","type":"journal-article","created":{"date-parts":[[2014,11,30]],"date-time":"2014-11-30T23:30:16Z","timestamp":1417390216000},"page":"3007-3015","source":"Crossref","is-referenced-by-count":1,"title":["Designing Mobility Models Based on Relational Graph"],"prefix":"10.1587","volume":"E97.D","author":[{"given":"Zhenwei","family":"DING","sequence":"first","affiliation":[{"name":"Graduate School of Informatics, Kyoto University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yusuke","family":"OMORI","sequence":"additional","affiliation":[{"name":"Graduate School of Informatics, Kyoto University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ryoichi","family":"SHINKUMA","sequence":"additional","affiliation":[{"name":"Graduate School of Informatics, Kyoto University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tatsuro","family":"TAKAHASHI","sequence":"additional","affiliation":[{"name":"Graduate School of Informatics, Kyoto University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"532","reference":[{"doi-asserted-by":"crossref","unstructured":"[1] R. Shinkuma, H. Kasasi, K. Yamaguchi, and O. Mayora, \u201cRelational metric: A new metric for network service and in-network resource control,\u201d 2012 IEEE Consumer Communications and Networking Conference (CCNC), pp.352-353, 2012.","key":"1","DOI":"10.1109\/CCNC.2012.6181118"},{"doi-asserted-by":"crossref","unstructured":"[2] C. Lochert, H. Hartein, J. Tian, H. Fussler, D. Hermann, and M. Mauve, \u201cA routing strategy for vehicular ad hoc networks in city environments,\u201d Proc. IEEE Intelligent Vehicles Symposium, pp.156-161, 2003.","key":"2","DOI":"10.1109\/IVS.2003.1212901"},{"doi-asserted-by":"crossref","unstructured":"[3] L. Pelusi, A. Passarela, and M. Conti, \u201cOpportunistic networking: data forwarding in disconnected mobile ad hoc networks,\u201d IEEE Commun. Mag., vol.44, no.11, pp.134-141, 2006.","key":"3","DOI":"10.1109\/MCOM.2006.248176"},{"doi-asserted-by":"crossref","unstructured":"[4] M. Musolesi and C. Mascolo, \u201cDesigning mobility models based on social network theory,\u201d ACM SIGMOBILE Mobile Computing and Communications Review, vol.11, no.3, pp.59-70, 2007.","key":"4","DOI":"10.1145\/1317425.1317433"},{"doi-asserted-by":"crossref","unstructured":"[5] D.B. Johnson and D.A. Maltz, \u201cDynamic source routing in ad hoc wireless networks,\u201d Kluwer International Series in Engineering and Computer Science, pp.153-179, 1996.","key":"5","DOI":"10.1007\/978-0-585-29603-6_5"},{"doi-asserted-by":"crossref","unstructured":"[6] V. Borrel, F. Legendre, M.D. Amorim, and S. Fdida, \u201cSimps: Using sociology for personal mobility,\u201d IEEE\/ACM Trans. Netw., vol.17, no.3, pp.831-842, 2009.","key":"6","DOI":"10.1109\/TNET.2008.2003337"},{"unstructured":"[7] Z. Ding, R. Shinkuma, and T. Takahashi, \u201cDesigning temporally and spatially integrated social mobility models for wireless network researches,\u201d 2013 15th Asia-Pacific. IEEE Network Operations and Management Symposium (APNOMS), pp.1-5, 2013.","key":"7"},{"doi-asserted-by":"crossref","unstructured":"[8] T. Hossmann, T. Spyropoulos, and F. Legendre, \u201cPutting contacts into context: Mobility modeling beyond inter-contact times,\u201d Proc. Twelfth ACM International Symposium on Mobile Ad Hoc Networking and Computing, no.18, 2011.","key":"8","DOI":"10.1145\/2107502.2107526"},{"unstructured":"[9] E. Cho, S.A. Myers, and J. Leskovec, \u201cFriendship and mobility: user movement in location-based social networks,\u201d Proc. 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp.1082-1090, 2011.","key":"9"},{"unstructured":"[10] C. Boldrini, M. Conti, and A. Passarella, \u201cUsers mobility models for opportunistic networks: the role of physical locations,\u201d Proc. IEEE WRECOM, 2007.","key":"10"},{"doi-asserted-by":"crossref","unstructured":"[11] N. Vastardis and K. Yang, \u201cAn enhanced community-based mobility model for distributed mobile social networks,\u201d J. Ambient Intelligence and Humanized Computing, pp.1-11, 2012.","key":"11","DOI":"10.1007\/s12652-012-0118-y"},{"doi-asserted-by":"crossref","unstructured":"[12] D. Fischer, K. Herrmann, and K. Rothermel, \u201cGeSoMo-general social mobility model for delay tolerant networks,\u201d 2010 IEEE 7th International Conference on Mobile Adhoc and Sensor Systems (MASS), pp.99-108, 2010.","key":"12","DOI":"10.1109\/MASS.2010.5663959"},{"doi-asserted-by":"crossref","unstructured":"[13] A. Gainaru, C. Dobre, and V. Cristea, \u201cA realistic mobility model based on social networks for the simulation of VANETs,\u201d IEEE 69th Vehicular Technology Conference, 2009, VTC Spring 2009, pp.1-5, 2009.","key":"13","DOI":"10.1109\/VETECS.2009.5073334"},{"doi-asserted-by":"crossref","unstructured":"[14] F. Ekman, A. Keranen, J. Karvo, and J. Ott, \u201cWorking day movement model,\u201d Proc. 1st ACM SIGMOBILE workshop on Mobility models, pp.33-40, 2008.","key":"14","DOI":"10.1145\/1374688.1374695"},{"doi-asserted-by":"crossref","unstructured":"[15] W. Hsu, T. Spyropoulos, K. Psounis, and A. Helmy, \u201cModeling spatial and temporal dependencies of user mobility in wireless mobile networks,\u201d IEEE\/ACM Trans. Netw., vol.17, no.5, pp.1564-1577, 2009.","key":"15","DOI":"10.1109\/TNET.2008.2011128"},{"doi-asserted-by":"crossref","unstructured":"[16] P. Venkateswaran, R. Ghosh, A. Das, S.K. Sanyal, and R. Nandi, \u201cAn obstacle based realistic ad-hoc mobility model for social networks,\u201d J. Networks, vol.1, no.2, pp.37-44, 2006.","key":"16","DOI":"10.4304\/jnw.1.2.37-44"},{"doi-asserted-by":"crossref","unstructured":"[17] K. Lee, S. Hong, S.J. Kim, I. Rhee, and S. Chong, \u201cSlaw: A new mobility model for human walks,\u201d IEEE INFOCOM 2009, pp.855-863, 2009.","key":"17","DOI":"10.1109\/INFCOM.2009.5061995"},{"unstructured":"[18] A. Mei and J. Stefa, \u201cSWIM: A simple model to generate small mobile worlds,\u201d IEEE INFOCOM 2009, pp.2106-2113, 2009.","key":"18"},{"unstructured":"[19] J. Scott, Social Networks Analysis: A Handbook, Second ed. Sage Publications, London, United Kingdom, 2000.","key":"19"},{"doi-asserted-by":"crossref","unstructured":"[20] Y. Chon and H. Cha, \u201cLifemap: A smartphone-based context provider for location-based services,\u201d IEEE Pervasive Computing, vol.10, no.2, pp.58-67, 2011.","key":"20","DOI":"10.1109\/MPRV.2011.13"},{"unstructured":"[21] U.S. Department of Transportation, Federal Highway Administration, 2009 National Household Travel Survey, URL: http:\/\/nhts.ornl.gov","key":"21"},{"doi-asserted-by":"crossref","unstructured":"[22] A.G. Ribeiro, R. Sofia, and A. Zuquete, \u201cImproving mobile networks based on social mobility modeling,\u201d 19th IEEE International Conference on Network Protocols (ICNP), 2011, pp.289-291, 2011.","key":"22","DOI":"10.1109\/ICNP.2011.6089064"},{"doi-asserted-by":"crossref","unstructured":"[23] D. Karamshuk, C. Boldrini, M. Conti, and A. Passarella, \u201cHuman mobility models for opportunistic networks,\u201d IEEE Commun. Mag., vol.49, no.12, pp.157-165, 2011.","key":"23","DOI":"10.1109\/MCOM.2011.6094021"},{"unstructured":"[24] M. Musolesi, S. Hailes, and C. Mascolo, \u201cAdaptive routing for intermittently connected mobile ad hoc networks,\u201d Sixth IEEE International Symposium on World of wireless mobile and multimedia networks, 2005, WoWMoM 2005, pp.352-353, 2005.","key":"24"},{"unstructured":"[25] S.M. Ahmed, M.E. Ali, and T. Hashman, Mobility Aware Data Delivery in Vehicular ad hoc Networks, Engine, 2013.","key":"25"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E97.D\/12\/E97.D_2014PAP0004\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T21:51:49Z","timestamp":1747173109000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E97.D\/12\/E97.D_2014PAP0004\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"references-count":25,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2014]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2014pap0004","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"type":"print","value":"0916-8532"},{"type":"electronic","value":"1745-1361"}],"subject":[],"published":{"date-parts":[[2014]]}}}