{"title":"NWS第9卷第3期封面和封底","authors":"","doi":"10.1017/nws.2021.16","DOIUrl":null,"url":null,"abstract":"original Articles Robust coordination in adversarial social networks: From human behavior to agent-based modeling chen hajaj, zlatko joveski, sixie yu and yevgeniy vorobeychik 255 Separable and semiparametric network-based counting processes applied to the international combat aircraft trades cornelius fritz, paul w. thurner and göran kauermann 291 Efficient Laplacian spectral density computations for networks with arbitrary degree distributions grover e. c. guzman, peter f. stadler and andré fujita 312 Diffusion profile embedding as a basis for graph vertex similarity scott payne, edgar fuller, george spirou and cun-quan zhang 328 Investigating scientific mobility in co-authorship networks using multilayer temporal motifs hanjo d. boekhout, vincent a. traag and frank w. takes 354 network science editorial team","PeriodicalId":51827,"journal":{"name":"Network Science","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"NWS volume 9 issue 3 Cover and Back matter\",\"authors\":\"\",\"doi\":\"10.1017/nws.2021.16\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"original Articles Robust coordination in adversarial social networks: From human behavior to agent-based modeling chen hajaj, zlatko joveski, sixie yu and yevgeniy vorobeychik 255 Separable and semiparametric network-based counting processes applied to the international combat aircraft trades cornelius fritz, paul w. thurner and göran kauermann 291 Efficient Laplacian spectral density computations for networks with arbitrary degree distributions grover e. c. guzman, peter f. stadler and andré fujita 312 Diffusion profile embedding as a basis for graph vertex similarity scott payne, edgar fuller, george spirou and cun-quan zhang 328 Investigating scientific mobility in co-authorship networks using multilayer temporal motifs hanjo d. boekhout, vincent a. traag and frank w. takes 354 network science editorial team\",\"PeriodicalId\":51827,\"journal\":{\"name\":\"Network Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2021-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Network Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1017/nws.2021.16\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"SOCIAL SCIENCES, INTERDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Network Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1017/nws.2021.16","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SOCIAL SCIENCES, INTERDISCIPLINARY","Score":null,"Total":0}
original Articles Robust coordination in adversarial social networks: From human behavior to agent-based modeling chen hajaj, zlatko joveski, sixie yu and yevgeniy vorobeychik 255 Separable and semiparametric network-based counting processes applied to the international combat aircraft trades cornelius fritz, paul w. thurner and göran kauermann 291 Efficient Laplacian spectral density computations for networks with arbitrary degree distributions grover e. c. guzman, peter f. stadler and andré fujita 312 Diffusion profile embedding as a basis for graph vertex similarity scott payne, edgar fuller, george spirou and cun-quan zhang 328 Investigating scientific mobility in co-authorship networks using multilayer temporal motifs hanjo d. boekhout, vincent a. traag and frank w. takes 354 network science editorial team
期刊介绍:
Network Science is an important journal for an important discipline - one using the network paradigm, focusing on actors and relational linkages, to inform research, methodology, and applications from many fields across the natural, social, engineering and informational sciences. Given growing understanding of the interconnectedness and globalization of the world, network methods are an increasingly recognized way to research aspects of modern society along with the individuals, organizations, and other actors within it. The discipline is ready for a comprehensive journal, open to papers from all relevant areas. Network Science is a defining work, shaping this discipline. The journal welcomes contributions from researchers in all areas working on network theory, methods, and data.