Timeline for Problems with representing and analysing non-network data as a network?
Current License: CC BY-SA 3.0
17 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jul 20, 2019 at 19:48 | history | edited | kjetil b halvorsen♦ |
edited tags
|
|
| May 9, 2016 at 3:04 | vote | accept | timothyjgraham | ||
| May 9, 2016 at 3:04 | vote | accept | timothyjgraham | ||
| May 9, 2016 at 3:04 | |||||
| May 9, 2016 at 3:04 | vote | accept | timothyjgraham | ||
| May 9, 2016 at 3:04 | |||||
| S May 5, 2016 at 5:25 | history | bounty ended | CommunityBot | ||
| S May 5, 2016 at 5:25 | history | notice removed | CommunityBot | ||
| May 3, 2016 at 16:17 | answer | added | Antoine Vernet | timeline score: 1 | |
| May 3, 2016 at 4:52 | answer | added | shadowtalker | timeline score: 1 | |
| Apr 30, 2016 at 5:14 | history | tweeted | twitter.com/StackStats/status/726278642918109184 | ||
| Apr 30, 2016 at 4:16 | comment | added | timothyjgraham | Thanks @dv_bn, this is a positive sign. I will research into this more, and report back any findings for the benefit of other users. | |
| Apr 29, 2016 at 12:27 | comment | added | dv_bn | You are not willing to capture interactions between websites, for instance through clustering of communities of websites that interact with each other. In contrary, you seem to be willing to cluster websites according to the features they have in common using network analysis. In some sense it would be similar to clustering communities of anonymous users that 'follow' music artists according to what artists they follow, and then study the characteristics of these communities. I don't see any problem with that... It should actually provide an insightful visualization of the dataset. | |
| Apr 29, 2016 at 3:17 | comment | added | timothyjgraham | Thanks - this is a good question. Here are two reasons why. (1) The network visualisations of the community clustering is much better at expressing the clustering patterns to non-technical users (e.g. qualitative sociologists). (2) It provides the opportunity to cross-validate and 'sanity check' traditional statistical methods (e.g. multiple correspondence analysis), to see how the results compare/contrast. | |
| Apr 27, 2016 at 4:23 | comment | added | dv_bn | I wonder what is the gain from modelling non-network data this way. You seem to be asking 'why not?', could you elaborate on the 'why'? | |
| S Apr 27, 2016 at 4:13 | history | bounty started | timothyjgraham | ||
| S Apr 27, 2016 at 4:13 | history | notice added | timothyjgraham | Authoritative reference needed | |
| Apr 24, 2016 at 12:04 | history | edited | timothyjgraham | CC BY-SA 3.0 |
Added more detail and specificity to the question.
|
| Apr 24, 2016 at 11:59 | history | asked | timothyjgraham | CC BY-SA 3.0 |