Statistics
| Branch: | Revision:

root / fiddle @ 4ceb9f92

Name Size Revision Age Author Comment
  boost-networkx-comparision 37200dce over 3 years Quynh PX Nguyen Add label to x and y-axis in graph
  count_num_bcc 4b37c1d9 over 3 years Quynh PX Nguyen Analyze the bi-connected components for CN and ...
  heuristic-betweenness-centrality 3673c3e8 over 3 years Quynh PX Nguyen [HBC - Python] Backup code
  simulation_analysis 4ceb9f92 over 3 years Quynh PX Nguyen Plot the running time of BC and HBC for 3 types...
Makefile 81 Bytes c28093c1 over 3 years Quynh PX Nguyen Fiddling around with C++ - pointer and template...
libnetworkx.py 448 Bytes 23e90e7c almost 4 years Quynh PX Nguyen Fiddling around with networkx library
pointer 13.4 KB c28093c1 over 3 years Quynh PX Nguyen Fiddling around with C++ - pointer and template...
pointer.cpp 3.12 KB c28093c1 over 3 years Quynh PX Nguyen Fiddling around with C++ - pointer and template...
template_function 13.5 KB c28093c1 over 3 years Quynh PX Nguyen Fiddling around with C++ - pointer and template...
template_function.cpp 1.09 KB c28093c1 over 3 years Quynh PX Nguyen Fiddling around with C++ - pointer and template...

Latest revisions

# Date Author Comment
4ceb9f92 03/09/2016 03:51 PM Quynh PX Nguyen

Plot the running time of BC and HBC for 3 types of graphs: Erdos, Community Network and Power Lab
072a5b5a 03/09/2016 02:23 PM Quynh PX Nguyen

Analyze the experiment result.
Input: *.out1
Output: *.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)]...
4b37c1d9 03/07/2016 12:36 PM Quynh PX Nguyen

Analyze the bi-connected components for CN and PL graphs
3673c3e8 02/16/2016 03:36 PM Quynh PX Nguyen

[HBC - Python] Backup code
82c7c698 12/29/2015 09:33 PM Quynh PX Nguyen

[f] WBBC = HBC :)
739fe075 12/28/2015 01:35 AM Quynh PX Nguyen

Heuristic BC for different graphs
24a4abf9 12/20/2015 01:04 PM Quynh PX Nguyen

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.
54b6e5c3 12/20/2015 12:54 AM Quynh PX Nguyen

More examples to debug the Computing Component Tree Weights - I found problems for the simple4.edges
3c6ce57c 12/20/2015 12:52 AM Quynh PX Nguyen

Debugging the Algorithm 1: Compute Component Tree Weights [Puzis 2012]
f1ee8a55 12/13/2015 02:11 PM Quynh PX Nguyen

Done with creating the communication importance matrix (or Traffic Matrix). This is necessary in calculating betweenness centrality later

View revisions

Also available in: Atom