Graph Communities to Analyze the Occupational Accidents: An Evidence from The Statistics of Turkey 2013–2014
In this
study, we present an efficient graph clustering method called graph communities
to analyze occupational accidents in Turkey from 2013 to 2014 and use the
Pearson correlation to calculate the similarity measure between the accident
data. For this purpose we represent each accident as a vector of a social
actor. Then, we obtain sub-communities which can be seen as the cluster of
clusters iteratively. Moreover, we present the sub-dominant ultra-metric
structures among occupational accidents using the minimum spanning tree method.
In each sub-community we analyze the central nodes in minimum spanning trees
which are the dominant in the information flow. Furthermore, we use the
topological measures to determine which hierarchical structure is best to
represent occupational accidents in sub-communities.
Keywords:
Occupational Accidents, Network Analysis, Pearson Correlation Graph Communities, Minimum Spanning Tree,
___
- Agarwal, G., Kempe, D. “Modularity-maximizing graph communities via mathematical programming”. The European Physical Journal B 66 (3), 409–418 (2008)
- Balcı, M. A., Akgüller, Ö. “Mathematical Morphology on Soft Sets for Application to Metabolic Networks”. In Advanced Computational Methods for Knowledge Engineering, Springer International Publishing, 209–218 (2015)
- Balcı, M. A. 2016. “Hierarchies in communities of Borsa Istanbul Stock Exchange”. Hacettepe Journal of Mathematics and Statistics, In Press, doi:10.15672/hjms.201614520777
- Balcı, M. A., Akgüller, Ö. Soft Vibrational Force on Stock Market Networks. Library Journal, 3, e3050 (2016)
- Bates, F. L., Peacock, W. G. “Conceptualizing social structure: The misuse of classification in structural modelling”, American Sociological Review 54, 565–577 (1989)
- Benavides, F. G., Benach, J., Muntaner, C. , Delclos, G. L., Catot, N., Amable, M. “Associations between temporary employment and occupational injury: What are the mechanisms?” Occupational and Environmental Medicine 63 (6), 416–421 (2006)
- Bird, F. E., Germain, G. L. “Practical loss control leadership”. Det Norske Veritas, USA (1996)
- Bollobas, B., Modern graph theory (Vol. 184). Springer Science & Business Media (2013)
- Chan, T. F., Osher, S., Shen, J. “The digital TV filter and nonlinear denoising”. IEEE Transactions on Image Processing 10 (2), 231–241 (2001)
- Christian, M. S., Bradley, J. C., Wallace, J. C., Burke, M. J. “Workplace safety: A meta-analysis of the roles of person and situation factors”. Journal of Applied Psychology 94 (5), 1103–1127 (2009)
- Clauset, A., Cristopher, M., Mark, E. J. N. “Hierarchical structure and the prediction of missing links in networks”. Nature 453 (7191), 98–101 (2008)
- Durante, F., Sempi, C. “Copula theory: an introduction. In Copula theory and its applications”, Springer Berlin Heidelberg, 3–31 (2010)
- Gordon, J. E. “The epidemiology of accidents”, American Journal of Public Health 39, 504–515 (1949)
- Green, D. G., Bossomaier, E. J. “Complex systems”, Cambridge University Press (2000)
- Haddon, W. J. “Energy damage and 10 countermerasure strategies”, Journal of Trauma 13 (4), 321–331 (1973)
- Hales, T. R., Sauter, S. L., Peterson, M. R., Fine, L. J., Putz-Anderson, V., Schleifer, L. R., Ochs, T. T., Bernard, B. P. “Musculoskeletal disorders among visual display terminal users in a telecommunications company”. Ergonomics 37 (10), 1603–1621 (1994)
- Heinrich, H. W. “Industrial accident prevention: A scientific approach”. New York: McGraw-Hill (1931)
- Hur, S. W., Lillis, J. “Relaxation and clustering in a local search framework: Application to linear placement”, Proceedings - Design Automation Conference, 360–366 (1999)
- Jackson, M. O. “Social and economic networks”. Vol. 3. Princeton: Princeton University Press (2008)
- Jang, W., Lee, J., Chang, W. “Currency crises and the evolution of foreign exchange market: evidence from minimum spanning tree”, Physica A 390, 707–718 (2011)
- Yayın Aralığı: Yılda 4 Sayı
- Başlangıç: 1988
- Yayıncı: Gazi Üniversitesi, Fen Bilimleri Enstitüsü