Peer Review from WoS V. Batagelj, A. Ferligoj Analysis of Peer Review data from WoS Data part 3: temporal analyses Temporal distributions Temporal networks Vladimir Batagelj and Anuˇ ska Ferligoj Results Conclusions University of Ljubljana, IMFM Ljubljana and IAM UP Koper PEERE Valencia – March 8-11, 2016 V. Batagelj, A. Ferligoj Peer Review from WoS
Outline Peer Review from WoS 1 Data V. Batagelj, A. Ferligoj 2 Temporal distributions 3 Temporal networks Data 4 Results Temporal distributions 5 Conclusions Temporal networks Results Conclusions Vladimir Batagelj : vladimir.batagelj@fmf.uni-lj.si Anuˇ ska Ferligoj : anuska.ferligoj@fdv.uni-lj.si Microbioz Journals Current version of slides (March 8, 2016 / 01 : 58): http://vlado.fmf.uni-lj.si/pub/slides/peere3.pdf V. Batagelj, A. Ferligoj Peer Review from WoS
Introduction Peer Review from WoS V. Batagelj, A. Ferligoj Data In the previous presentations on analysis of peer review data Temporal from WoS we didn’t considered the time. distributions Temporal Since we have for each work information about its publication networks year we can transform networks into temporal networks. We Results present a simple approach to analysis of temporal networks Conclusions based on time slices. V. Batagelj, A. Ferligoj Peer Review from WoS
Record from Web of Science Peer Review from WoS PT J AU Dipple, H V. Batagelj, Evans, B A. Ferligoj TI The Leicestershire Huntington’s disease support group: a social network analysis SO HEALTH & SOCIAL CARE IN THE COMMUNITY Data LA English DT Article C1 Rehabil Serv, Troon Way Business Ctr, Leicester LE4 9HA, Leics, England. Temporal RP Dipple, H, Rehabil Serv, Troon Way Business Ctr, Sandringham distributions Suite,Humberstone Lane, Leicester LE4 9HA, Leics, England. CR BORGATTI SP, 1992, UCINET 4 VERSION 1 0 Temporal FOLSTEIN S, 1989, HUNTINGTONS DIS DISO networks SCOTT J, 1991, SOCIAL NETWORK ANAL NR 3 TC 3 Results PU BLACKWELL SCIENCE LTD PI OXFORD PA P O BOX 88, OSNEY MEAD, OXFORD OX2 0NE, OXON, ENGLAND Conclusions SN 0966-0410 J9 HEALTH SOC CARE COMMUNITY JI Health Soc. Care Community PD JUL PY 1998 VL 6 IS 4 BP 286 EP 289 PG 4 SC Public, Environmental & Occupational Health; Social Work GA 105UP UT ISI:000075092200008 ER V. Batagelj, A. Ferligoj Peer Review from WoS
Collecting the data Peer Review from WoS To the Web of Science (WoS) we put the query "peer review*" . In V. Batagelj, A. Ferligoj May and June 2015 we got (from Web of Science Core Collection) 17053 hits, and additional 2867 hits for the query refereeing . Data Temporal In March 2016 we updated the data by adding hits for years 2015 and distributions 2016 and manually prepared descriptions for the most important Temporal books (without CR data). networks Results The first analysis in 2015 revealed many papers without WoS Conclusions descriptions having large indegrees in the citation network. We manually searched for each of them (with indegree larger or equal to 20) and if found we added it into the data set. After some iterations, we finally constructed the data set used in this analysis. V. Batagelj, A. Ferligoj Peer Review from WoS
Networks from WoS data Peer Review from WoS Using the program WoS2Pajek we transformed the WoS data into a V. Batagelj, A. Ferligoj collection of two-mode networks : – works × authors ( WA ), Data – works × keywords ( WK ); Temporal distributions – works × journal ( WJ ), Temporal and a networks – one-mode citation network works × works ( Ci ); Results where works include papers, reports, books, patents etc. Conclusions Besides this we get also: – a partition DC (DC= a work w has (1) / has not (0) a WoS description), – a partition year (publication year), – a vector NP (number of pages); and – a CSV file titles with basic data about works with DC=1. V. Batagelj, A. Ferligoj Peer Review from WoS
WoS2Pajek report Peer Review from WoS >>> End of processing of WoS file V. Batagelj, number of works = 721547 A. Ferligoj number of authors = 295849 number of journals = 39988 number of keywords = 36279 Data number of records = 22981 number of duplicates = 887 Temporal works + titles : titles.csv distributions works index file: vtxIndex.txt Temporal networks *** FILES: year of publication partition: C:/Users/batagelj/work/Python/WoS/peere2\Year.clu Results described / cited only partition: C:/Users/batagelj/work/Python/WoS/peere2\DC.clu number of pages vector: C:/Users/batagelj/work/Python/WoS/peere2\NP.vec Conclusions citation network: C:/Users/batagelj/work/Python/WoS/peere2\Cite.net works X journals network: C:/Users/batagelj/work/Python/WoS/peere2\WJ.net works X keywords network: C:/Users/batagelj/work/Python/WoS/peere2\WK.net works X authors network: C:/Users/batagelj/work/Python/WoS/peere2\WA.net finished: Sun Mar 6 05:23:41 2016 time used: 0:07:07.905000 We removed multiple links and loops from networks. The cleaned citation network has n = 721547 nodes and m = 869821 arcs. V. Batagelj, A. Ferligoj Peer Review from WoS
Cleaning the data Peer Review from WoS V. Batagelj, A. Ferligoj Most of the works were referenced only once. We decided to remove all only cited nodes with indegree smaller than 3 Data (boundary problem). Temporal distributions We also removed all cited only nodes starting with strings Temporal networks "[ANONYM" , "WORLD " , "INSTITUT " , "U S" , "WHO " , Results "AMERICAN " , "DEPARTME " , "NATIONAL " , "UNITED " , Conclusions "CENTERS " , "INTERNAT " , "EUROPEAN " , "*WHO" , "*DEP" , "*US" , "WHO(" . The final set of works W contains 45917 works. V. Batagelj, A. Ferligoj Peer Review from WoS
All peer review related publications in WoS by year distribution Peer Review from WoS V. Batagelj, A. Ferligoj ● ●●● ● ● ● Data 30000 ● ● Temporal ● distributions ● ● ● Temporal ● networks 20000 ● ● freq ● Results ● ● Conclusions ● ● ● ● 10000 ● ● ● ● ●●● ● ●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●● 0 1950 1960 1970 1980 1990 2000 2010 y V. Batagelj, A. Ferligoj Peer Review from WoS
Peer review publications in WoS by year distribution Peer Review from WoS V. Batagelj, A. Ferligoj 2500 ● Data 2000 ● Temporal distributions ● Temporal 1500 ● networks ● freq Results ● ● 1000 Conclusions ● ●● ● ● 500 ●● ●● ● ● ●●●●●●● ●●●●●●●●● ●●●●●●●● ●●●●●●●●●●●●●●●●●●●●●●● 0 1950 1960 1970 1980 1990 2000 2010 y V. Batagelj, A. Ferligoj Peer Review from WoS
Temporal networks Peer Review from WoS V. Batagelj, A. Ferligoj A temporal network N T = ( V , L , P , W , T ) is obtained by attaching Data the time , T , to an ordinary network where T is a set of time points , Temporal t ∈ T . distributions In a temporal network, nodes v ∈ V and links l ∈ L are not Temporal networks necessarily present or active in all time points. Let T ( v ), T ∈ P , be Results the activity set of time points for node v and T ( l ), T ∈ W , the Conclusions activity set of time points for link l . Besides the presence/absence of nodes and links also their properties can change through time. V. Batagelj, A. Ferligoj Peer Review from WoS
Description of temporal networks in Pajek In program Pajek we extended (in 1999) its input format to enable Peer Review from WoS inclusion of temporal informatiion V. Batagelj, A. Ferligoj *vertices 325 ... Data 17 "bla" [3-9, 12, 16-23, 27-*] ... Temporal distributions *arcs Temporal ... networks 37 42 5 [5-9, 12, 14, 17-21] Results ... Conclusions In Pajek , the time set, T , is discrete and consists of a subset of natural numbers T ⊂ N . Its interpretation is left to the user. In Pajek’s input format the data about the times when an element is present (active) are given in the continuation of the line describing the element inside the brackets [ in ] . Time periods are separated by commas, , . Continuous time periods between a starting time, s , to the ending time, e , can be written as s - e . Pajek uses the symbol, * , for ‘infinity’ or, in most practical situations, the last time point for a data set. V. Batagelj, A. Ferligoj Peer Review from WoS
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