LEADER 00910nam1-22003011i-450- 001 990005592090403321 005 20050701111429.0 035 $a000559209 035 $aFED01000559209 035 $a(Aleph)000559209FED01 035 $a000559209 100 $a19990604d1975----km-y0itay50------ba 101 0 $aeng 105 $ay-------001yy 200 1 $aItaly$fBritish Museum 210 $aBologna$cArnaldo Forni Editore$h(stampa 1975) 215 $aVIII, 432 p.$d25 cm 461 0$1001000559204$12001$aA Catalogue of the greek coins in the British Museum$fBritish Museum 610 0 $aMONETE GRECHE$aCataloghi 676 $a737.4938074$v21$zita 710 02$aBritish Museum (Natural History)$084509 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990005592090403321 952 $a737.49 BRI 1 (1)$bANT. G.R. 2823$fFLFBC 959 $aFLFBC 996 $aItaly$9608319 997 $aUNINA LEADER 03337nam 22005655 450 001 9911049099603321 005 20260102122811.0 010 $a3-032-09171-3 024 7 $a10.1007/978-3-032-09171-0 035 $a(CKB)44770025900041 035 $a(MiAaPQ)EBC32470976 035 $a(Au-PeEL)EBL32470976 035 $a(DE-He213)978-3-032-09171-0 035 $a(EXLCZ)9944770025900041 100 $a20260102d2026 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBibliometric Analysis by Network Models $eIdentifying Trends in Scientific Literature /$fby Fuad Aleskerov, Olga Khutorskaya, Anna Stepochkina, Vyacheslav Yakuba, Ksenia Zinovyeva 205 $a1st ed. 2026. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2026. 215 $a1 online resource (364 pages) 225 1 $aContemporary Systems Thinking 311 08$a3-032-09170-5 327 $aChapter 1. A survey of the network bibliometric analysis -- Chapter 2. Data description and network analysis models -- Chapter 3. An analysis of publication citations -- Chapter 4. An analysis of terms -- Chapter 5. An analysis of journals citations -- Chapter 6. An analysis of citations of publication authors and their affiliations. 330 $aThe book contains new models of bibliometric analysis based on new centrality measures in network analysis, pattern analysis and stability analysis. A distinctive feature of these centrality measures is that they account for the parameters of vertices and group influence of vertices to a vertex. This reveals specific groups of publications, authors, terms, journals and affiliations of the authors depending on different parameters of publications. Pattern analysis and stability analysis allow the tendencies in developing of the field of research over years to be revealed. These new models are illustrated by an analysis of 39,811 articles on various aspects of Parkinson?s disease, published between 2015 and 2021. This methodology can be useful for researchers of any scientific domain, because it enables them to identify key and actively developing trends as well as major players in the field. Moreover, this approach allows to determine main tendencies in the entire research community as well as in the specific parts of it that may have gone unnoticed before. The obtained results of the analysis are useful not only for researchers but also for journals, editorial teams, scientific organizations, and investors. 410 0$aContemporary Systems Thinking 606 $aSampling (Statistics) 606 $aBiometry 606 $aNeurosciences 606 $aMethodology of Data Collection and Processing 606 $aBiostatistics 606 $aNeuroscience 615 0$aSampling (Statistics) 615 0$aBiometry. 615 0$aNeurosciences. 615 14$aMethodology of Data Collection and Processing. 615 24$aBiostatistics. 615 24$aNeuroscience. 676 $a001.433 700 $aAleskerov$b F. T$g(Faud Tagi ogly)$0117772 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911049099603321 996 $aBibliometric Analysis by Network Models$94521540 997 $aUNINA