2 Citations (Scopus)

Abstract

This research addresses the problem of analyzing the temporal dynamics of business organizations. In particular, we concentrate on inferring the related businesses, i.e.; are there groups of companies that are highly correlated through some measurement (metric)? We argue that business relationships derived from general literature (i.e.; newspaper articles, news items etc.) may help us create a network of related companies (business networks). On the other hand, relative movement of stock prices can give us an indication of related companies (asset graphs). We also expect to see some relationships between these two kinds of networks. We adapt the asset graph construction approach from the literature for our asset graph implementations, and then, define our methodology for business network construction. Finally, an introduction to the exploration of some relationships between the asset graphs and business networks is presented.

Original languageEnglish (US)
Pages (from-to)473-490
Number of pages18
JournalInformation Systems Frontiers
Volume16
Issue number3
DOIs
StatePublished - Jan 1 2014

Fingerprint

Mining
Industry
Graph in graph theory
Stock Prices
Business
Metric
Methodology
Relationships

All Science Journal Classification (ASJC) codes

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

Cite this

@article{3502705d223043a580cf97ddf60bd3d1,
title = "Network mining: Applications to business data",
abstract = "This research addresses the problem of analyzing the temporal dynamics of business organizations. In particular, we concentrate on inferring the related businesses, i.e.; are there groups of companies that are highly correlated through some measurement (metric)? We argue that business relationships derived from general literature (i.e.; newspaper articles, news items etc.) may help us create a network of related companies (business networks). On the other hand, relative movement of stock prices can give us an indication of related companies (asset graphs). We also expect to see some relationships between these two kinds of networks. We adapt the asset graph construction approach from the literature for our asset graph implementations, and then, define our methodology for business network construction. Finally, an introduction to the exploration of some relationships between the asset graphs and business networks is presented.",
author = "Fatih Cavdur and Tirupatikumara, {Soundar Rajan}",
year = "2014",
month = "1",
day = "1",
doi = "10.1007/s10796-012-9355-z",
language = "English (US)",
volume = "16",
pages = "473--490",
journal = "Information Systems Frontiers",
issn = "1387-3326",
publisher = "Springer Netherlands",
number = "3",

}

Network mining : Applications to business data. / Cavdur, Fatih; Tirupatikumara, Soundar Rajan.

In: Information Systems Frontiers, Vol. 16, No. 3, 01.01.2014, p. 473-490.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Network mining

T2 - Applications to business data

AU - Cavdur, Fatih

AU - Tirupatikumara, Soundar Rajan

PY - 2014/1/1

Y1 - 2014/1/1

N2 - This research addresses the problem of analyzing the temporal dynamics of business organizations. In particular, we concentrate on inferring the related businesses, i.e.; are there groups of companies that are highly correlated through some measurement (metric)? We argue that business relationships derived from general literature (i.e.; newspaper articles, news items etc.) may help us create a network of related companies (business networks). On the other hand, relative movement of stock prices can give us an indication of related companies (asset graphs). We also expect to see some relationships between these two kinds of networks. We adapt the asset graph construction approach from the literature for our asset graph implementations, and then, define our methodology for business network construction. Finally, an introduction to the exploration of some relationships between the asset graphs and business networks is presented.

AB - This research addresses the problem of analyzing the temporal dynamics of business organizations. In particular, we concentrate on inferring the related businesses, i.e.; are there groups of companies that are highly correlated through some measurement (metric)? We argue that business relationships derived from general literature (i.e.; newspaper articles, news items etc.) may help us create a network of related companies (business networks). On the other hand, relative movement of stock prices can give us an indication of related companies (asset graphs). We also expect to see some relationships between these two kinds of networks. We adapt the asset graph construction approach from the literature for our asset graph implementations, and then, define our methodology for business network construction. Finally, an introduction to the exploration of some relationships between the asset graphs and business networks is presented.

UR - http://www.scopus.com/inward/record.url?scp=84903521253&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84903521253&partnerID=8YFLogxK

U2 - 10.1007/s10796-012-9355-z

DO - 10.1007/s10796-012-9355-z

M3 - Article

AN - SCOPUS:84903521253

VL - 16

SP - 473

EP - 490

JO - Information Systems Frontiers

JF - Information Systems Frontiers

SN - 1387-3326

IS - 3

ER -