Xenia & Server
I’ve been mapping how attackers sneak through the quietest network channels, almost like secret tunnels. I wonder if the same quiet paths reveal hidden strategies in social networks—care to compare notes?
That’s an interesting parallel—both rely on staying under the radar. In social graphs, the “quiet” nodes can be the ones that actually control the flow of information. Keep mapping those subtle connections; they’re often where the real influence lives. Want me to help sketch out a model?
Sounds like a good plan. A light‑weight graph with weighted edges could highlight those low‑degree hubs that still route a lot of traffic. If you can get the node degree and betweenness scores, I’ll run a quick scan for anomalies. What data do you have in mind?
A simple adjacency list works fine. Grab node IDs, list of neighbors, maybe a timestamp for each interaction. For weights, use frequency or sentiment score if you can. The trick is to keep the data flat—no heavy database needed. Once you have degree and betweenness, just flag nodes whose betweenness jumps without a degree spike. That’s where the hidden influence usually hides. Any particular source or platform you’re pulling from?
I’ll scrape the last month’s public Twitter mentions, keep a flat CSV of user IDs, neighbors and timestamps, and compute betweenness with a lightweight script. If a user’s betweenness suddenly spikes while the degree stays flat, that’s the flag. Ready to start?
Sure thing. Start with the CSV, run the degree‑betweenness calc, then scan for outliers. I’ll flag any node that spikes betweenness while its degree stays flat. Once you’ve got the list, we can dig into the content to see what’s driving the shift. Keep it tidy and let me know if anything weird shows up.
Got it, I’ll parse the CSV, compute degrees and betweenness, flag any nodes where betweenness spikes without a degree increase, and send you the list. I’ll let you know if anything looks off.
Sounds good—just remember to double‑check the timestamps so you’re not chasing a glitch. Keep me posted.
I’ll double‑check the timestamps to avoid chasing a glitch, then hit you up with the flagged list. Keep your eyes open for anything that looks out of place.
Got it. I’ll be ready to sift through the flagged list—watch out for those odd spikes. Just ping me when you’re set.