Research Article
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Graph Communities to Analyze the Occupational Accidents: An Evidence from The Statistics of Turkey 2013–2014

Year 2017, Volume 30, Issue 4, 373 - 393, 11.12.2017

Abstract

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.

References

  • 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)

Year 2017, Volume 30, Issue 4, 373 - 393, 11.12.2017

Abstract

References

  • 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)

Details

Subjects Science
Journal Section Industrial Engineering
Authors

Gökhan TUNA>

Türkiye


Mustafa KURT>

Publication Date December 11, 2017
Published in Issue Year 2017, Volume 30, Issue 4

Cite

Bibtex @research article { gujs303245, journal = {Gazi University Journal of Science}, eissn = {2147-1762}, address = {}, publisher = {Gazi University}, year = {2017}, volume = {30}, number = {4}, pages = {373 - 393}, title = {Graph Communities to Analyze the Occupational Accidents: An Evidence from The Statistics of Turkey 2013–2014}, key = {cite}, author = {Tuna, Gökhan and Kurt, Mustafa} }
APA Tuna, G. & Kurt, M. (2017). Graph Communities to Analyze the Occupational Accidents: An Evidence from The Statistics of Turkey 2013–2014 . Gazi University Journal of Science , 30 (4) , 373-393 . Retrieved from https://dergipark.org.tr/en/pub/gujs/issue/32802/303245
MLA Tuna, G. , Kurt, M. "Graph Communities to Analyze the Occupational Accidents: An Evidence from The Statistics of Turkey 2013–2014" . Gazi University Journal of Science 30 (2017 ): 373-393 <https://dergipark.org.tr/en/pub/gujs/issue/32802/303245>
Chicago Tuna, G. , Kurt, M. "Graph Communities to Analyze the Occupational Accidents: An Evidence from The Statistics of Turkey 2013–2014". Gazi University Journal of Science 30 (2017 ): 373-393
RIS TY - JOUR T1 - Graph Communities to Analyze the Occupational Accidents: An Evidence from The Statistics of Turkey 2013–2014 AU - Gökhan Tuna , Mustafa Kurt Y1 - 2017 PY - 2017 N1 - DO - T2 - Gazi University Journal of Science JF - Journal JO - JOR SP - 373 EP - 393 VL - 30 IS - 4 SN - -2147-1762 M3 - UR - Y2 - 2017 ER -
EndNote %0 Gazi University Journal of Science Graph Communities to Analyze the Occupational Accidents: An Evidence from The Statistics of Turkey 2013–2014 %A Gökhan Tuna , Mustafa Kurt %T Graph Communities to Analyze the Occupational Accidents: An Evidence from The Statistics of Turkey 2013–2014 %D 2017 %J Gazi University Journal of Science %P -2147-1762 %V 30 %N 4 %R %U
ISNAD Tuna, Gökhan , Kurt, Mustafa . "Graph Communities to Analyze the Occupational Accidents: An Evidence from The Statistics of Turkey 2013–2014". Gazi University Journal of Science 30 / 4 (December 2017): 373-393 .
AMA Tuna G. , Kurt M. Graph Communities to Analyze the Occupational Accidents: An Evidence from The Statistics of Turkey 2013–2014. Gazi University Journal of Science. 2017; 30(4): 373-393.
Vancouver Tuna G. , Kurt M. Graph Communities to Analyze the Occupational Accidents: An Evidence from The Statistics of Turkey 2013–2014. Gazi University Journal of Science. 2017; 30(4): 373-393.
IEEE G. Tuna and M. Kurt , "Graph Communities to Analyze the Occupational Accidents: An Evidence from The Statistics of Turkey 2013–2014", Gazi University Journal of Science, vol. 30, no. 4, pp. 373-393, Dec. 2017