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--- project:idds:start [2024/02/21 05:15] – 10.236.186.5
+++ project:idds:start [2025/02/09 02:19] (current) – old revision restored (2024/06/09 22:03) liang
@@ Line 1: / Line 1: @@
-Last-updated: 2024/02/21, liangz
+Last-updated: 2024/06/9, liangz
 ====== Project IDDS and more ======
-members: Javaria, Wenruo, Azam, liangz
+members: Javaria, <del>Wenruo,</del> Azam, liangz
 ==== Aim ====
@@ Line 20: / Line 20: @@
 ==== Tasks ====
-** Wenruo **
+**Wenruo **
-  * Upload gr files of the networks used in research to the cloud (see the email).
+   * Upload gr files of the networks used in research to the cloud (see the email).
   * Upload the program and user's manual for generating networks with ER, BA, WS, and LZ models.
-** Javaria **
+**Javaria **
-  * Review those papers that cited the one on Scientific Report. If nothing new, go to the next.
+  * Review those papers that cited the one on Scientific Report. (2024/02/19) {{:project:idds:review_articles_20240219.xlsx|Report}}.
   * Generate artificial networks with various models.
   * Following the same approach as the paper on Scientific Report, analyze those networks to confirm the phenomenon reported.
   * Same approach but with fixed distance k to study the scaling phenomenon with respect to k.
+  * Compare the running time of Python and C code implementation of the Sieve algorithm.
+  * Check the maximum capacity of Python code to handle the size of networks within a reasonable time (30 mins).
+  * Share the memo of tasks and future plans.{{:project:idds:memo.pdf|memo.pdf}} (2024/02/25 19:39 23.2 KB)
+  * Studying the scaling behavior size of distance dominating sets with respect to distance, network size, network metrics e.t.c.
 ==== Archive ====
-  * {{ :project:idds:idds2016.tgz |Version 2016}}
+  * {{:project:idds:idds2016.tgz|Version 2016}}