2 Citations (Scopus)

Abstract

In this paper, we present a novel business network construction approach, where the nodes of the network correspond to the names of the companies in a particular stock market index, and its links show the co-occurrence of two company names in daily news. Our approach consists of two phases, in which search for the company names in the news articles and network construction operations are performed, respectively. To increase the quality of results, each article is classified as business news or not business news before these operations, and only the articles that are classified as business news are considered for network construction. The resulting network presents a visualization of the business events and company relationships during the corresponding time period. We study both co-occurrences as well as single occurrences of company names in the articles scanned in our analysis.

Original languageEnglish (US)
Pages (from-to)153-162
Number of pages10
JournalInformation Systems Frontiers
Volume16
Issue number1
DOIs
StatePublished - Jan 1 2014

Fingerprint

Industry
Stock Market
Visualization
Business
Vertex of a graph
Relationships

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Information Systems
  • Computer Networks and Communications

Cite this

@article{ca83082c05c44231b1d395b6113923d0,
title = "A network view of business systems",
abstract = "In this paper, we present a novel business network construction approach, where the nodes of the network correspond to the names of the companies in a particular stock market index, and its links show the co-occurrence of two company names in daily news. Our approach consists of two phases, in which search for the company names in the news articles and network construction operations are performed, respectively. To increase the quality of results, each article is classified as business news or not business news before these operations, and only the articles that are classified as business news are considered for network construction. The resulting network presents a visualization of the business events and company relationships during the corresponding time period. We study both co-occurrences as well as single occurrences of company names in the articles scanned in our analysis.",
author = "Fatih Cavdur and Tirupatikumara, {Soundar Rajan}",
year = "2014",
month = "1",
day = "1",
doi = "10.1007/s10796-012-9354-0",
language = "English (US)",
volume = "16",
pages = "153--162",
journal = "Information Systems Frontiers",
issn = "1387-3326",
publisher = "Springer Netherlands",
number = "1",

}

A network view of business systems. / Cavdur, Fatih; Tirupatikumara, Soundar Rajan.

In: Information Systems Frontiers, Vol. 16, No. 1, 01.01.2014, p. 153-162.

Research output: Contribution to journalArticle

TY - JOUR

T1 - A network view of business systems

AU - Cavdur, Fatih

AU - Tirupatikumara, Soundar Rajan

PY - 2014/1/1

Y1 - 2014/1/1

N2 - In this paper, we present a novel business network construction approach, where the nodes of the network correspond to the names of the companies in a particular stock market index, and its links show the co-occurrence of two company names in daily news. Our approach consists of two phases, in which search for the company names in the news articles and network construction operations are performed, respectively. To increase the quality of results, each article is classified as business news or not business news before these operations, and only the articles that are classified as business news are considered for network construction. The resulting network presents a visualization of the business events and company relationships during the corresponding time period. We study both co-occurrences as well as single occurrences of company names in the articles scanned in our analysis.

AB - In this paper, we present a novel business network construction approach, where the nodes of the network correspond to the names of the companies in a particular stock market index, and its links show the co-occurrence of two company names in daily news. Our approach consists of two phases, in which search for the company names in the news articles and network construction operations are performed, respectively. To increase the quality of results, each article is classified as business news or not business news before these operations, and only the articles that are classified as business news are considered for network construction. The resulting network presents a visualization of the business events and company relationships during the corresponding time period. We study both co-occurrences as well as single occurrences of company names in the articles scanned in our analysis.

UR - http://www.scopus.com/inward/record.url?scp=84897999633&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84897999633&partnerID=8YFLogxK

U2 - 10.1007/s10796-012-9354-0

DO - 10.1007/s10796-012-9354-0

M3 - Article

AN - SCOPUS:84897999633

VL - 16

SP - 153

EP - 162

JO - Information Systems Frontiers

JF - Information Systems Frontiers

SN - 1387-3326

IS - 1

ER -