Plot the running time of BC and HBC for 3 types of graphs: Erdos, Community Network and Power Lab
Analyze the experiment result.Input: *.out1Output: *.out2, *.out3
.out2 the average running time for each graphs, from 10 repetitions..out3 the average running time for each [graph type (Community Network, Erdos), and number of nodes (from 100 - 1000)]...
Simulation with output both the clock_begin, clock_end
Analyze the bi-connected components for CN and PL graphs
Code to run experiments
Makefile for different targets: arm, mips
[b] HBC doesn't work in QEMU since I miss the "return" statement.
[OpenWrt] Script to move source code, and compile toolchain
[OpenWrt] Script to move graph-parser and compile toolchain into OpenWrt Image with the graph-parse inside.
Making the parser receiving the input from commandline
[HBC - Python] Backup code
[report] Backup all the report
[HBCW] Heuristic Betweenness Centrality for weighted graph
[HBC]It's now working with- jsoninfo_topo.json- graph where there are edges that are not included in Bi-Connected Components (for example, in jsoninfo_topo.json
Check whether graph is connected
[milestone] HBC - working for unweighted graph. The script.sh generates the output and the score for BC and HBC.
[f] Count how many times a certain value (not key) appearing in a Map.
[f] Skeleton for HBC calculation. For each sub-component, now we are using the standard function boost::brandes_betweenness_centrality() to get their BC scores.
[HBC] BC score for Sub-Component.
[f] Adding test
[R] Working: Refactor Heuristic BCC version. Now all the Link Weight and Traffic Matrix for each Sub-Component are correct. Also, we have the Graph object for each Sub-Component.
[cpp, r] Done with creating subgraph for each sub component
[cpp] Heuristic - Jan 14 - output graph
[misc] Test set used to find bug in HBC
[latex] Update note
[latex] Report Dec 20
[f] WBBC = HBC :)
Heuristic BC for different graphs
Compute Component Tree Weights - Bugs fixed- Component-vertex pair (B, v): minus 1 unit more- Vertex-component pair (v, B): initialize size = 0
Results: Correct even for Sample 4. Still not correct for Ninux Graph.
More examples to debug the Computing Component Tree Weights - I found problems for the simple4.edges
Debugging the Algorithm 1: Compute Component Tree Weights [Puzis 2012]
[r] Use reference-to-const for function arguments.
[r] Split into modules
[r] Modularized into parser, utility for code to calculate betweennes
[r] Modularize code
Done with creating the communication importance matrix (or Traffic Matrix). This is necessary in calculating betweenness centrality later
Heuristic Betweenness for Structurally Equivalence Class
[r] Heuristic Betweenness for bi-connected components
Heuristic betweenness centrality - block cut tree
[note] - Update note for week 10
Add label to x and y-axis in graph
Script to plot comparison graph between networkx and Boost Graph Library
Comparision between networkx and Boost Graph Library
Those python packages that are not necessary for the thesis anymore
Useful script to move things around/compile firmware image/running image
Update image for Thesis Note
Fiddling around with C++ - pointer and template function
Parse simple graph + JSON graph + calling betweenness centrality
Modify gitignore for C++ project
Package to test the boots/graph library
Package to test the boots/lambda library
Report
Note for week 3
Compile OpenWrt toolchain, and compile package with OpenWrt SDK
Adding note
Add .gitignore
Fiddling around with networkx library
First commit - testing