305,566 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Sigurd Simensen. Kommunist og pressemann. En framstilling av redaktøren av partiavisene Folkeviljen (DNA) og Dagens Nyheter (NKP) i Harstad fra 1922 til 1931
Oppgaven tar for seg perioden 1922 til 1931 da Simensen var redaktørtid i Folkeviljen (DNA) 1922-1923 – og Dagens Nyheter (NKP) 1924 – 1931.
I 1918 ble han leder for landssammenslutningen av arbeiderråd i Norge.
Simensen kom til Harstad i desember 1918 og ble her til han døde i 1968, avbrutt av den perioden han redigerte Vestfinmark Socialdemokrat i Hammerfest 1920 – 1921.
Oppgaven er ikke en lokalhistorisk framstilling av Harstad-samfunnet. Men da Simensen levde og virket her førte det naturlig til at mange saker med lokal tilknytning har fått fokus. Disse er satt inn i et større perspektiv der protokoller fra DNA og NKPs landsmøter er brukt. For å få fram personens og avisenes lokale tilknytning er også protokollene fra Harstad Arbeidersamfund benyttet, hvor han var formann i mer enn 40 år.
Tida i Folkeviljen bærer preg av den strid Arbeiderpartiet var oppe i, men hovedsakelig kretser oppgaven om de lokale spørsmål partiet og avisa sto for. Særlig vekt er lagt på Kominterns religionsparole som skulle få så store utslag for kommunistpartiet ved valget i 1924. Dette belyses via stiftsmøtet i Bodø våren 1923 der Harstad-kommunistene spilte en aktiv rolle.
Dagens Nyheter ble Troms NKPs hovedorgan i juni 1924, etter at Troms Fylkes Kommunistblad gikk inn. Redaktøren sørget for en framdrift og oppsving av NKP-laget via satsninger på kooperasjonen, fagbevegelsen og framfor alt ved sin uttrykksfulle og lavkonfliktorienterte væremåte. NKP i Harstad fikk langt større tilslutning enn noe annet lokalparti i regionen. Oppgaven avdekker at Harstad er den mest radikale byen i Nord-Norge og Simensen ble da også varaordfører – både under Frisinnede Venstre og DNA.
Samtidig som han redigerte Dagens Nyheter i Harstad var han og redaktør for NKP-avisa Friheten i Svolvær høsten 1928. Dagens Nyheter ble også ble gitt ut med egen Narvik-utgave i 1929 - 1930
107000 km/h
Konserten framfördes i Harstad 23/6 2019 under Festspelen i NordNorge. Musiken skrevs av Svante Henryson. (Beställningsverk) samt av artisten "Prince".Medverkande musiker: Svante Henryson, Erik Weissglas, Johan E Andersson, Bård Björge, Öystein Calbmigeadgi Myrvoll, Katarina Henryson.Stycken som spelades:"Plast till Middag" (Henryson), "Exodus" (Henryson) "Tellus Tellus fortell oss" (Henryson), "Bradskande" (Henryson), "Endesang" (Henryson), "Kiss" (Prince).Erik Weissglas var solist på styckena "Tellus Tellus, fortell oss", "Exodus", "Endesang" samt "Kiss"Musiken arrangerades av medverkande musiker.Festspelen i NordNorge beställde verket. Festspelen erhåller stöd från det norska kulturrådet.</p
Author, publisher and bookseller : a tripartite synergy in Nigerian book industry
This work is about the roles of Author, Publisher and Bookseller in Book development in
Nigeria. The paper started by delving into the history of Book Publishing in Nigeria after
which it proceeded by defining who an author, a publisher, and a bookseller is and
expatiated on the indispensable roles of these key actors in Nigerian Book Industry and in
the emerging Information Society. Furthermore, the various constraints to book
development were identified while the paper advised on how the Book Industry can be
further promoted in Nigeria. However, the paper concluded and made recommendations
on how the Book sector can help in enhancing scholarship in the country
[Report to Chief J. E. Curry, by an unknown author #2]
Report to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
[Report to Chief J. E. Curry, by an unknown author #1]
Report to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
Mining e-mail content for author identification forensics
We describe an investigation into e-mail content mining for author identification, or authorship attribution, for the purpose of forensic investigation. We focus our discussion on the ability to discriminate between authors for the case of both aggregated e-mail topics as well as across different email topics. An extended set of e-mail document features including structural characteristics and linguistic patterns were derived and, together with a Support Vector Machine learning algorithm, were used for mining the e-mail content. Experiments using a number of e-mail documents generated by different authors on a set of topics gave promising results for both aggregated and multi-topic author categorisation
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