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|3 10.33948/0584-030-003-008
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|a eng
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|b السعودية
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100 |
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|9 525154
|a Meghanathan, Natarajan
|e Author
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245 |
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|a d-Space For Real World Networks: A Correlation Analysis Of Decay Centrality Vs. Degree Centrality And Closeness Centrality
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|b جامعة الملك سعود
|c 2018
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300 |
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|a 391 - 408
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336 |
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|a بحوث ومقالات
|b Article
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|b We analyze a suite of 48 real-world networks and compute the decay centrality (DEC) of the vertices for the complete range of values for the decay parameter ᵟ є (0, 1) as well as determine the Pearson’s correlation coefficient (PCC) between the DECᵟ values and degree centrality (DEG) and closeness centrality (CLC). We observe PCC(DECᵟ, DEG) to decrease with increase in d and PCC(DECᵟ, CLC) to decrease with decrease in ᵟ. We define the ᵟ-spacer for a real-world network with respect to the DEG, DEC, CLC correlation as the difference between the maximum and minimum ᵟ values under which we observe a particular level of correlation (r) between the DEC, DEG and DEC, CLC metrics respectively. We show that the PCC (DEG, CLC) values for the real-world networks exhibit a very strongly positive correlation with the dspacer values and demonstrate that one could predict the ᵟ-spacer value for a real-world network using the PCC(DEG, CLC) value for that network. We also analyze the impact of various topological measures on the ᵟ-spacer values for the real-world networks.
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|a الرسوم البيانية
|a معامل ارتباط بيرسون
|a تصميم الشبكات
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692 |
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|b Decay Centrality
|b Decay Parameter
|b Closeness Centrality
|b Degree Centrality
|b Correlation
|b Real World Network Graphs
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773 |
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|c 008
|e Journal of King Saud University (Computer and Information Sciences)
|f Maǧalaẗ ǧamʼaẗ al-malīk Saud : ùlm al-ḥasib wa al-maʼlumat
|l 003
|m مج30, ع3
|o 0584
|s مجلة جامعة الملك سعود - علوم الحاسب والمعلومات
|v 030
|x 1319-1578
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856 |
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|u 0584-030-003-008.pdf
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|d y
|p y
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|a science
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|c 974445
|d 974445
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