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--- project:idds:start [2024/02/06 13:32] – liang
+++ project:idds:start [2025/02/09 02:19] (current) – old revision restored (2024/06/09 22:03) liang
@@ Line 1: / Line 1: @@
-Last-updated: 2024/02/06, liangz
+Last-updated: 2024/06/9, liangz
 ====== Project IDDS and more ======
-members: Javaria, Wenruo, Azam, liangz
+members: Javaria, <del>Wenruo,</del> Azam, liangz
 ==== Aim ====
-Observing that some practical issues can be modeled as or studied with the distance dominating set problem in networks, this study studies the scaling phenomenon of distance dominating in networks.
+Observing that some practical issues can be modeled as or studied with the distance dominating set problem in networks, this study studies the scaling phenomenon of distance dominating in networks, first empirically then theoretically.
 ==== Networks ====
@@ Line 17: / Line 17: @@
   * A comprehensive empirical studies (3 months) -> at least a well-known network science conference.
   * If possible, a theoretical analysis (details to be decided) -> a good network science or math or physical related journal.
+  * Consider a generalization to integer weights on the edges -> facility allocation problem.
 ==== 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 by ER, BA, WS, and LZ models.
+  * 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. (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.
-  * Analyze those networks by fixing the distance k.
 ==== Archive ====
-  * {{ :project:idds:idds2016.tgz |Version 2016}}
+  * {{:project:idds:idds2016.tgz|Version 2016}}