Date: 19 Apr 2012
A network view of business systems
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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.
Albert, R., Jeong, H., & Barabasi, A.-L. (1999). Diameter of the world wide web. Nature, 401, 130–131.CrossRef
Barabasi, A. L. (2003). Scale-free networks. Scientific American, 288, 50–59.CrossRef
Barabasi, A. L. (2007). Network medicine—from obesity to the “diseasome”. The New England Journal of Medicine, 357(4), 404–407.CrossRef
Barabasi, A. L. (2009). Scale-free networks: a decade and beyond. Science, 325, 412–413.CrossRef
Batagelj, V., & Mrvar, A. (2009). Pajek—program for large network analysis, http://vlado.fmf.uni-lj.si/pub/networks/pajek/. Accessed 20 July 2010.
Bengtsson, M., & Kock, S. (1999). Cooperation and competition in relationships between competitors in business networks. Journal of Business and Industrial Marketing, 14(3), 178–194.CrossRef
Costa, L. D., Oliveira, O. N. Jr., Travieso, G., Rodrigues, F. A., Boas, P. R., & Antiqueira, L. (2008). Analyzing and modeling real-world phenomena with complex networks: a survey of applications, arXiv:0711.3199v3 [physics.soc-ph].
Dezso, Z., Almaas, E., Lukacs, A., Racz, B., Szakadat, I., & Barabasi, A.-L. (2006). Dynamics of information access on the web. Physical Review E, 73, 066132.CrossRef
Dunne, J. A., Williams, R. J., & Martinez, N. D. (2002). Food-web structure and network theory: the role of connectance and size. Proceedings of the National Academy of Sciences, 99, 12,917–12,922.CrossRef
Erdos, P., & Renyi, A. (1959). On random graphs I. Publicationes Mathematicae Debrecen, 6, 290–297.
Goh, K.-I., Cusick, M. E., Valle, D., Childs, B., Vidal, M., & Barabasi, A.-L. (2007). Human disease network. PNAS, 104(21), 8,685–8,690.CrossRef
Guimera, R., Mossa, S., Turtschi, A., & Amaral, L. A. N. (2005). The worldwide air transportation network: anomalous centrality, community structure, and cities’ global roles. PNAS, 102(22), 7,794–7,799.CrossRef
Krebs, V. (2006). Social network analysis, http://www.orgnet.com/netindustry.html. Accessed 10 May 2010.
Mantegna, R. N. (1999). Hierarchical structure in financial markets. The European Pysical Journal B, 11, 193–197.CrossRef
Onnela, J. P. (2006). Complex networks in the study of financial and social systems. Ph.D. Thesis, Laboratory of Computational Engineering, Helsinki University of Technology, Finland.
Onnela, J. P. (2002). Taxonomy of financial assets. M.S. Thesis, Helsinki University of Technology, Finland.
Onnela, J. P., Chakraborti, A., Kaski, K., & Kertesz, J. (2003a). Dynamic asset trees and Black Monday. Physica A, doi:10.1016/S0378-4371(02)01882-4.
Onnela, J.-P., Chakraborti, A., Kaski, K., Kertesz, J., & Kanto, A. (2003b). Asset trees and asset graphs in financial markets. PhysicaScripta, T106, 48–54.
Onnela, J. P., Kaski, K., & Kertesz, J. (2004). Clustering and information in correlation based financial networks. The European Pyhsical Journal B, 38, 353–362.CrossRef
Onnela, J. P., Saramaki, J., Kaski, K., & Kertesz, J. (2006). Financial market—a network perspective. practical fruits of econophysics, Nikkei econophysics III proceedings, Springer, Tokyo, 302–206.
Steyvers, M., & Tenenbaum, J. B. (2005). The large-scale structure of semantic networks: statistical analyses and a model of semantic growth. Cognitive Science, 29(1), 41–78.CrossRef
Stouffer, D. B. (2010). Scaling from individuals to networks in food webs. Functional Ecology, 24, 44–51.CrossRef
Williams, R. J., Berlow, E. L., Dunne, J. A., Barabasi, A. L., & Martinez, N. D. (2002). Two degrees of separation in complex food webs. Proceedings of the National Academy of Sciences, 99, 12913–12916.CrossRef
Yıldırım, M. A., Goh, K.-I., Cusick, M. E., Barabási, A.-L., & Vidal, M. (2007). Drug-target network. Nature Biotechnology, 25(10), 1,119–1,126.CrossRef
Yook, S. H., Jeong, H., & Barabasi, A.-L. (2002). Modeling the internet’s large-scale topology. Proceedings of the National Academy of Sciences, 99, 13,382–13,386.CrossRef
Zaversnik, M., & Batagelj, V. (2000). Generalized cores, arXiv:cs/0202039v1.
- A network view of business systems
Information Systems Frontiers
Volume 16, Issue 1 , pp 153-162
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- Business systems
- Financial systems
- Text mining
- Industry Sectors