Why do you think Gephi is using Graphviz? I think it does not. In graphviz there is no Giant Component filter and no centrality statistics, which are part of graph theory. Gephi is closer to graph theory than graphviz is. Graphviz does have some good node placement algorithms, but in general these apps have different scope. Graphviz is a no go for this purpose.

Gephi, NetworkX or iGraph - pick single one of these and it will be a single tool you need to repeat steps in the post and achieve similar result. But latter two are programming libraries. Managing to get and launch Gephi probably worth the hassle.

I suspect there were no issue in the first place. A lot of time ago, if torrent client encountered files are missing, you had to run long process of verification for them to become available for seeding.

Now, if torrents switched to “files are missing” you can restart torrent client and seed like if nothing happened. No need for categories even. Also, function “Set location” can be used to move torrent to external storage.

Confirmed as well. Also, stopping them before unmounting drive doesn’t prevent missing files error.

Seems reasonable, I didn’t thought about port conflict. But in this scenario not running both clients at the same time also is an acceptable solution.

Thank you for this clarification, I will try to exit qbit and launch it again when HDD is accessible. Maybe it will reset those error statuses. I think it didn’t work some years ago (error status remained, had to start verification).

“regular check” - do you mean verification? Verification takes a lot of time, verifying 10s of gigs will take a lot of time. What do you forget, stopping torrents?

I can move, but next time when I will launch qbt without external HDD accessible, those torrents will gain error status “Files not found” and will require a long verification process. This is what I’m trying to avoid.

I will check how categories can help managing this, thx

I wonder how many messages can it store. I will try leaving my node for a day and will see timestamp of earliest messages and how many there are. Also, maybe it worth checking out firmware source code. Different devices can have different limit.

You should’ve seen this place when maga activist was killed last year. Also can’t see none of your images except last two, lol.

Related:

• https://www.reddit.com/r/meshtastic/comments/1camtqt/handling_missed_messages/
• https://www.reddit.com/r/meshtastic/comments/1nuqmsb/question_for_best_practice_not_to_miss_messages/
  • https://github.com/meshtastic/firmware/pull/3784
• https://github.com/pdxlocations/Meshtastic-Python-Examples - “print all packets” script probably will print all packets collected by a node since last time it had a chance to dump them somewhere.

There are standalone devices with integrated keyboard for typing messages. I’d expect them to be able to store a lot of messages, regardless of firmware version. Imagine someone sent 7 “test” messages to Primary channel and thus wiped your DM’s. Doesn’t feel right.

What about MeshCore, can it operate as a mailbox? Mailbox mode will be extremely convenient.

it’s not really meant to operate as a “mailbox” where you can retrieve the messages later

Why not, where’s bottleneck? Internal memory is too small? Packets are 255 bytes each, doesn’t seem like there’s much to store.

Hmm maybe this is what I want: https://github.com/brad28b/meshtastic-cli-receive-text But I can’t install it currently, I get python stack trace instead…

UPD. Fail. I’ve managed to launch it, but it is same as “listen”, it receives only new messages in real time.

I wonder what metrics provided by fediverse are actually reliable. E.g. views count on PeerTube videos are not, they can be adjusted by instance admin to his liking, lol.

Nothing. All points randomly placed on a 2D plane, then forces are applied to them - all points are trying to move away from each other, but if 2 points are connected with an edge - they are attracted to each other. Check out this interactive demo of force-directed graph

Hi! Unfortunately, mastodon.uy is not included in the dataset, I don’t know why.

Try image with white legend in bottom left corner.

2026. According to this table your instance should be quite discoverable. Strange. This table is 1.5 bigger than dataset is, while opposite would’ve been more natural.

Your instance is not present in the original dataset, I don’t know why.

No, outgoing follows don’t affect color or size, only incoming (how many instances follow you and if they’re important or not). What’s the name of your instance? I will take a look later. Or you can try finding PeerTube instances.csv file on Kaggle (link in the post) and try checking yourself if your instance is in the dataset. To download a file account is needed, but you can search through specific column by clicking on header.