Extracting information from CiteSeer's textual data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F13%3A43919412" target="_blank" >RIV/49777513:23520/13:43919412 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Extracting information from CiteSeer's textual data

Original language description

This article deals with CiteSeer, a free online digital library and search engine of mainly computer science research papers. First, it discusses CiteSeer?s features and structure and then it presents what useful information on publications and author collaborations can be extracted from its textual data. We show the basic properties of both the publication citation and author citation graph. Moreover, several parameters based on the structure of the collaboration graph of authors are discussed and their main statistical properties are shown.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JC - Computer hardware and software

OECD FORD branch

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Project

<a href="/en/project/ED1.1.00%2F02.0090" target="_blank" >ED1.1.00/02.0090: NTIS - New Technologies for Information Society</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2013

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Theoretical and Applied Information Technology

ISSN

1992-8645

e-ISSN

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Volume of the periodical

56

Issue of the periodical within the volume

2

Country of publishing house

PK - PAKISTAN

Number of pages

7

Pages from-to

176-182

UT code for WoS article

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EID of the result in the Scopus database

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