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Author Topic: Customized Trust Network – Interactive tool to see who we trust/distrust  (Read 1887 times)
DdmrDdmr
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January 12, 2019, 05:47:05 AM
Last edit: November 30, 2019, 11:27:21 AM by DdmrDdmr
Merited by SebastianJu (20), dbshck (20), Foxpup (15), suchmoon (15), Welsh (10), redsn0w (7), TECSHARE (5), TheNewAnon135246 (5), allyouracid (5), LoyceV (5), bones261 (5), krogothmanhattan (5), chimk (4), Veleor (3), Daniel91 (2), franckuestein (2), bill gator (2), MaoChao (2), coinlocket$ (2), Alone055 (2), S_Therapist (2), qwk (1), mocacinno (1), xenon131 (1), Coin-1 (1), Piggy (1), Alex_Sr (1), TomCrypto (1), DireWolfM14 (1), 1miau (1), VB1001 (1), HiDevin (1)
 #1

Link to the Personal Trust Network.
Link to the Base File (Data to load the Personal Trust Network (first tab) + Summary per user (second tab -> interesting to see most trusted/distrusted and so on))

This is the last update: This product will be discontinued on the 03/12/2019

Data as of 30/11/2019 (trust file is released on Saturdays and not Fridays as is the merit.txt file).

Summary:
Code:
Date                Trust/Dist. rel.    Trust rel.          Distrust rel.       Customized Lists    Distinct Trusted/Untrusted
30/11/2019          38795               30466               8329                4533                10613
23/11/2019          38728               30412               8316                4531                10599
16/11/2019          38552               30331               8221                4529                10590
09/11/2019          38247               30149               8098                4522                10505
26/10/2019          36275               29042               7233                4512                10128
19/10/2019          36193               28990               7203                4510                10126
12/10/2019          35944               28940               7004                4496                9938
05/10/2019          35844               28889               6955                4494                9906
28/09/2019          35738               28830               6908                4486                9871
21/09/2019          35662               28797               6865                4479                9838
14/09/2019          35454               28669               6785                4475                9783
07/09/2019          35306               28565               6741                4468                9771
31/08/2019          35351               28630               6721                4463                9757
24/08/2019          35340               28579               6761                4460                9744
17/08/2019          35185               28458               6727                4453                9727
10/08/2019          35132               28431               6701                4446                9706
03/08/2019          34975               28316               6659                4432                9685
27/07/2019          34596               27990               6606                4421                9644
13/07/2019          34244               27780               6464                4384                9548
06/07/2019          34233               27741               6492                4372                9525
29/06/2019          33906               27496               6410                4361                9457
22/06/2019          33782               27408               6374                4347                9426
15/06/2019          33593               27278               6315                4338                9408
08/06/2019          33446               27278               6168                4328                9362
01/06/2019          33080               26980               6100                4293                9325
25/05/2019          32747               26710               6037                4268                9288
18/05/2019          32611               26634               5977                4264                9257
11/05/2019          32177               26264               5913                4247                9243
04/05/2019          32026               26204               5822                4239                9216
27/04/2019          31850               26075               5775                4221                9154
20/04/2019          31811               26065               5746                4217                9137
13/04/2019          31572               25858               5714                4212                9115
06/04/2019          31353               25721               5632                4203                9044
30/03/2019          31029               25621               5408                4199                8922
23/03/2019          30920               25520               5400                4193                8913
16/03/2019          31142               25640               5502                4191                8893
09/03/2019          31118               25632               5486                4183                8882
02/03/2019          31002               25515               5487                4169                8868
23/02/2019          31567               25845               5722                4160                8837
16/02/2019          31542               25762               5780                4151                8872
09/02/2019          31450               25710               5740                4145                8855
02/02/2019          31238               25392               5846                4123                8811
26/01/2019          25777               22083               3694                4083                8707
19/01/2019          25387               21811               3576                4052                8662
12/01/2019          23800               20720               3080                3957                8498
05/01/2019          22605               19637               2968                3891                8527
note: skipped week -> 20/07/2019

Date->                                       Date of update.
Trust/Dist. rel. ->                      Number of trust/distrust relations in the file.
Trust rel. ->                               Number of Trust relations.
Distrust rel. ->                           Number of Distrust relations.
Customized Lists ->                   Number of customized Trust lists.
Distinct Trusted/Untrusted ->  Number of distint user profiles that are either trusted or untrusted by others.

Profiles that all trust each other:
-   7 members where all trust all: 5 cases (complete graph networks)
-   6 members where all trust all: 39 cases (complete graph networks)
-   5 members where all trust all: 179 cases (complete graph networks)
-   4 members where all trust all: 563 cases (complete graph networks)
-   3 members where all trust all: 1.118 cases (complete graph networks)
-   2 members where all trust all: 2.369 cases (complete graph networks)

In addition:
- Analysis – A quick glance at the current Custom Trust Networks.
- Analysis - Reciprocal trust, distrust and asymmetries + all trust all subgraphs.


1. Introduction.

Back in April 2018, I created a similar project to the one I’m going to describe here, but left it aside since, at the time, it didn’t seem to be useful enough to endeavour a weekly update of the information (see A picture of what our Trust/Distrust Network looks like). Nevertheless, I’ve decided to retake it in light of the recent changes, modifying and adding a few things that were not relevant in version 1 of the project.

The base that I’m using here is the weekly forum official trust file (https://bitcointalk.org/trust.txt.xz), which basically includes a set with the following information:
a->b    'a' trust 'b'
a-/>b   'a' does not trust 'b'

As far as I’m aware, the file includes only data relative to customized trust lists, so DT is not shown here.

What I have done is include certain information for both ends of the 'a' and 'b' trust relation, so that we can see for a given user:
- The set of forum members 'a' trusts and/or doesn’t trust.
- The set of forum members who trust 'a' and/or don’t trust him/her/it.
The included columns are: user names and user ids involved, urls, rank, trust type, earned merits.

A few things to consider:
- The tool is visual and filterable, but it is a Beta tool created by Google, that will be discontinued in December 2019.
- The tool does have some bugs, and many limitations (I can barely add anything more to it in terms of functionality).
- Once you get the hang of it, it works fine, but it takes a bit to get used to the filters and specially resetting them.
- The list that serves as a base for the "Data" tab could suffice really (but we lose out the graphic part if we do).
- Rank and IDs are derived from a combination of the data I download (merited profiles), but also from @piggy’s full dataset (for the data not related to merited profiles).
- A few (12 o so) profiles with weird characters are not ranked nor merit counted (I will fix them briefly - I hope).

Note This is a similar product in terms of usage to Our very own sMerit Network Picture.


2. Data.

The Data Tab contains all the available data I’ve managed to group up. Each row contains:


  FromTo: The Trust relationship as found on the trust.txt file.
  UserfromName:  The username that trusts/distrusts.
  UserToName: The username that is trusted/distrusted.
  TrustType: Y: trusts; N: Does not trust.
  nFromEarnedMerits: Earned merits by the user that trusts/distrusts (not including merit sent between them).
  nToEarnedMerits: Earned merits by the user that is trusted/distrusted.
  nFromdummyWeight: For internal purposes (equal to nFromEarnedMerits +1).
  nTodummyWeight: For internal purposes (equal to nToEarnedMerits +1).
  nFromId: The User Id that trusts/distrusts.
  nToId: The User Id that is trusted/distrusted.
  nFromRank: The rank of the user that trusts/distrusts.
  nToRank: The rank of the user that is trusted/distrusted.
  nFromURL: The Bitcointalk profile URL of the user that trusts/distrusts.
  nToRank: The Bitcointalk profile URL of the user that is trusted/distrusted.

All trust/distrust relations are shown (until I encounter a volume problem that may well happen at some point). You can browse through this dataset, and apply filters.



You can add multiple filters, and multiple values to them. If at some point you get lost, it is best to delete the filter with the cross mark and re-add the filter by selecting it from the blue Filter dropdown menu.


3. Who I Trust/Distrust.

On this tab you can see a graphical representation of your Trust Network, specifically of those you trust. Simply enter the username on the "UserFromName" filter, press "find" and the graph should show the trusted/untrusted network for the selected user.
Note that both trusted and untrusted are shown, but I cannot give the nodes a different color. In order to distinguish between the Trusted Network and the Untrusted Network you will need to additionally filter by "TrustType" (Y/N).

The size of the nodes are proportional to the number of earned merits a user has.


I have used @theymos's Trust network for my examples, since mine is rather limited so far. In this case, I've set the filter to show those trusted by @theymos (TrustType = 'Y').

Unsolvable bugs:
-   Not all nodes are shown by default necessarily. You will need to type a number of nodes (top left of graph) higher or equal to the max nodes shown, in order to see them all.

-   You cannot see all the underlying data here by pulling down the three button handle above the graph (rows are all shown, but only 5 columns, and I cannot see how to change that). To see the actual underlying data, you’ll need to change to the Data Tab and filter it there as explained before.


4. Who Trusts me/Distrusts me.

This tab works in the same manner as the previously described tab. The focus here is on the "UserToName", being that parameter the name of the user for whom we want to see the network of people that trust or distrust him. As before, we need to filter by "TrustType" to delimit the graph to those that either trust us or distrust us.


In this case, I've set the filter to show those untrusted by @theymos (TrustType = 'N').


5. A few interesting numbers.

-   Trust.txt files contains 23.800 trust/distrust relations (22.605 last week).
-   Trust relations: 20.720 (19.637 last week).
-   Distrust relations: 3.080 (2.968 last week).
-   People that have a customized Trust Network: 3.957 (3.891 last week).
-   People that are included in a customized Trust Network: 8.498 (8.527 last week, which is larger – likely due to list resets).

 The changes a really new, but in spite of the Meta hype, not that many new people seem to have created a customized list yet. Well see how those numbers evolve.


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suchmoon
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January 12, 2019, 06:08:43 AM
 #2

Awesome sauce. I can choose nFromEarnedMerits filter 10+ or 250+ to see potential votes.

Looking good:

Loading...

DdmrDdmr
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January 12, 2019, 01:48:38 PM
Last edit: January 12, 2019, 04:02:11 PM by DdmrDdmr
Merited by bones261 (1)
 #3

Added a second tab to the Base File in order to include a summary per user:


Sort, filter and search as you like.

Note: I may throw Added some additional merit related columns to the summary tab, after seeing @suchmoon's post.

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January 12, 2019, 02:27:57 PM
 #4

I'm amazed how many people have included me Cheesy Thanks for making this.
I've asked theymos (here) if it's possible to update trust.txt more frequent. Considering the many changes people make at the moment, it would be nice to be able to see them faster.

Awesome sauce. I can choose nFromEarnedMerits filter 10+ or 250+ to see potential votes.
I assume that doesn't exclude the Merits sent by the user himself, right? Because theymos excludes those:
- You must have at least 10 people directly trusting you each with an earned merit of at least 10, not including merit you yourself sent.
 - You must have at least 1 person directly trusting you with an earned merit of at least 100, not including merit you yourself sent.

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January 12, 2019, 02:38:30 PM
Last edit: January 12, 2019, 04:15:49 PM by DdmrDdmr
 #5

<...>
No … it does not exclude those merits sent from oneself (I has version 1.0 of @theymo’s OP in mind). If I skip my "siesta", I can take a look to see if I can exclude those merits (it does seem rather more useful if I manage to exclude them and adjust it to that criteria).

Note: If the trust.txt file is update more frequently I’ll probably stick to a weekly update just the same, in order to align it to the merit update frequency (and manage to get some free time …).

Edit: Done. nFromEarnedMerits should now reflect the earned merit by the FromUser, minus the earned merit received from the ToUser in the Trust relationship.

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January 12, 2019, 06:45:46 PM
 #6

I assume that doesn't exclude the Merits sent by the user himself, right? Because theymos excludes those:

It doesn't didn't but I was looking at some shady individuals so overestimating their chances was ok in the context.

Thanks DD for the update. Even awesomer now.

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January 15, 2019, 08:10:21 PM
 #7

Is it just me or did some one make a mess of this? How do I strip those filters that load automatically now?


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DdmrDdmr
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January 15, 2019, 08:37:12 PM
 #8

<…>
That was me really, trying to put the whole DT1 on screen to see how the graph looks like of those that distrust them. I’ve reset the filters.

What seems to happen is that everyone’s session seems to clone mine, unless they log in with a google account, at which point the filters should be theirs from start to stop.

If it happens again, or someone gets muddled with the filters, the easiest thing to do is to delete the filters and reselect them again from the filter menu. The filters are a bit of a bummer until you get the hang of them. I often find that I need to delete and reselect them when I select more than one user for a given filter.



Note: Bear in mind that all the data is refreshed on Saturdays, when the Trust.txt file is released.

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January 16, 2019, 12:50:30 AM
 #9

Apparently when this happens I can't even delete the filters because I looked all over the filter menu and I can't remove them, even by highlighting manually and deleting. Thanks for this project btw. I am sure many will find it helpful.


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DdmrDdmr
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January 16, 2019, 07:36:36 AM
 #10

<...>
The filters are a bit of a bummer, so I’ll leave a general explanation here:

-   To add a new filter, click on the “filter” dropdown box and select a filter from the list. Reiterate at will all required filters.

-   To delete a filter, use the "x" (cross) symbol on the top right of each individual filter.



If you search for a value (using the Find button and the accompanying text box), the filter will search for all values containing the entered text (you could type a complete username for example, or a partial one).

If more than one value meet the criteria, then all the filter condition compliant values will be shown. You can then click on any one (or many) of the values shown to narrow down the selection.
The thing is, that once you click a value from the list of values under the filter, it is not always easy to delete it from the filter condition (shown above the graph). There are two ways to delete selected values:

-   Delete the filter (as explained above) using the cross symbol, and adding it back on using the filter dropdown box.
-   Or search for the value again and uncheck it from the list of criteria matching values on the filter set of retrieved values.

TheNewAnon135246
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January 16, 2019, 08:51:14 AM
 #11

Very cool tool, sent you some merit. Thanks for taking to time to create this!

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DdmrDdmr
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January 19, 2019, 06:12:05 AM
 #12

Data updated as of 19/01/2019.

Link to the Personal Trust Network.
Link to the Base File (Data to load the Personal Trust Network (first tab) + Summary per user (second tab -> interesting to see most trusted/distrusted and so on))

Summary:
Code:
Date                Trust/Dist. rel.    Trust rel.          Distrust rel.       Customized Lists    Distinct Trusted/Untrusted[b]
19/01/2019          25387               21811               3576                4052                8662
12/01/2019          23800               20720               3080                3957                8498
05/01/2019          22605               19637               2968                3891                8527
That is an additional 95 customized lists this week (rather a small amount), 1091 Trust relations and 596 net Distrust relations.

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January 22, 2019, 10:48:51 AM
Last edit: January 22, 2019, 12:17:23 PM by xenon131
 #13

Thnx, shared with Russian community . BTW, some arrows that show dependencies are very thick.   Does their thickness have any sense?

DdmrDdmr
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January 22, 2019, 12:36:16 PM
 #14

<…>
Thanks for the translation. Bare I intend to update the content once a week, on par with the weekly Saturday trust.txt file update.
Yes, the nodes are sized in accordance to the number of earned merits that the person has.

xenon131
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January 22, 2019, 01:42:24 PM
Last edit: January 22, 2019, 08:06:57 PM by xenon131
 #15

<…>
Thanks for the translation. Bare I intend to update the content once a week, on par with the weekly Saturday trust.txt file update.
Yes, the nodes are sized in accordance to the number of earned merits that the person has.


Thnx, pretty clear by now. From my part that was not exactly  word-by-word translation. It could be seen as some kind of  explanation of your tool for Russian community. Added step-by-step instruction  how to integrate data obtained for separate users into one picture.

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January 23, 2019, 03:21:33 PM
 #16

I didn't have enough time to figure out the settings. Now I have seen bulk statistics. Thank you, good tool.

DdmrDdmr
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January 26, 2019, 06:39:26 AM
 #17

Data updated as of 26/01/2019.

Link to the Personal Trust Network.
Link to the Base File (Data to load the Personal Trust Network (first tab) + Summary per user (second tab -> interesting to see most trusted/distrusted and so on))

Summary:
Code:
Date                Trust/Dist. rel.    Trust rel.          Distrust rel.       Customized Lists    Distinct Trusted/Untrusted
26/01/2019          25777               22083               3694                4083                8707
19/01/2019          25387               21811               3576                4052                8662
12/01/2019          23800               20720               3080                3957                8498
05/01/2019          22605               19637               2968                3891                8527
That is just an additional 31 customized lists this week, 272 new Trust relations and 118 new net Distrust relations.

DdmrDdmr
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February 02, 2019, 02:13:16 PM
 #18

Data updated as of 02/02/2019.

Link to the Personal Trust Network.
Link to the Base File (Data to load the Personal Trust Network (first tab) + Summary per user (second tab -> interesting to see most trusted/distrusted and so on))

Summary:
Code:
Date                Trust/Dist. rel.    Trust rel.          Distrust rel.       Customized Lists    Distinct Trusted/Untrusted
02/02/2019          31238               25392               5846                4123                8811
26/01/2019          25777               22083               3694                4083                8707
19/01/2019          25387               21811               3576                4052                8662
12/01/2019          23800               20720               3080                3957                8498
05/01/2019          22605               19637               2968                3891                8527
That is just an additional 40 customized lists this week, 3.309 new Trust relations and 2.152 new net Distrust relations.

xenon131
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February 06, 2019, 08:45:30 PM
Last edit: February 06, 2019, 08:56:17 PM by xenon131
 #19

Howto: combined data for i users (i=1.......n)

  • Put NN1 (NN - nickname) of the 1st user into relevant field and click Find
  • Find result for NN1  on the right panel
  • Check box right at the left of NN1
  • Replace  NN1  with NN2   and click Find
  • Check box right at the left of NN2
  • Find combined  result for NN1    +  NN2      on the right panel
  • If you wanna  add NN3, NN4    and so on do the same adding NNi    one-by-one


DdmrDdmr
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February 09, 2019, 02:25:31 PM
 #20

Data updated as of 09/02/2019.

Link to the Personal Trust Network.
Link to the Base File (Data to load the Personal Trust Network (first tab) + Summary per user (second tab -> interesting to see most trusted/distrusted and so on))

Summary:
Code:
Date                Trust/Dist. rel.    Trust rel.          Distrust rel.       Customized Lists    Distinct Trusted/Untrusted
09/02/2019          31450               25710               5740                4145                8855
02/02/2019          31238               25392               5846                4123                8811
26/01/2019          25777               22083               3694                4083                8707
19/01/2019          25387               21811               3576                4052                8662
12/01/2019          23800               20720               3080                3957                8498
05/01/2019          22605               19637               2968                3891                8527
That is just an additional 22 customized lists this week, 318 new Trust relations and -106 new net Distrust relations.

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