Tina Eliassi-Rad

So because when you are doing these grouping of nodes, you have some objective function that you're trying to maximize. And basically the idea is that there is no one peak there. So there's not like one particular community that you can put Tina on and say, okay, Tina belongs here. That's where she has to sit. And so some of that becomes an issue.

So because when you are doing these grouping of nodes, you have some objective function that you're trying to maximize. And basically the idea is that there is no one peak there. So there's not like one particular community that you can put Tina on and say, okay, Tina belongs here. That's where she has to sit. And so some of that becomes an issue.

But this notion of what does it mean for one network to be similar to another network has its tentacles to community detection, to clustering of nodes, and all of those are ill-defined. So it really is driven by the task at hand.

But this notion of what does it mean for one network to be similar to another network has its tentacles to community detection, to clustering of nodes, and all of those are ill-defined. So it really is driven by the task at hand.

Yeah, and that becomes what we call the small world problem, right? Or the Kevin Bacon or the Erdős number, right? You don't have to go that far out. to be connected to famous people.

Yeah, and that becomes what we call the small world problem, right? Or the Kevin Bacon or the Erdős number, right? You don't have to go that far out. to be connected to famous people.

I mean, for downstream tasks that you can like have some, let's say, confusion matrix where you can draw like true positives, false positives, true negatives, false negatives. We're actually very good at it. But if it's about like, OK, I found these communities and do these communities make sense?

I mean, for downstream tasks that you can like have some, let's say, confusion matrix where you can draw like true positives, false positives, true negatives, false negatives. We're actually very good at it. But if it's about like, OK, I found these communities and do these communities make sense?

It kind of breaks down into whether they're like hard clustering where you put Tina into just one community or you put Tina into multiple communities. And then there's a little bit of just like eyeballing it in a way. If you do not have this downstream task that you can say, okay, here are the true positives, here are the false positives, and so on and so forth.

It kind of breaks down into whether they're like hard clustering where you put Tina into just one community or you put Tina into multiple communities. And then there's a little bit of just like eyeballing it in a way. If you do not have this downstream task that you can say, okay, here are the true positives, here are the false positives, and so on and so forth.

But in many cases, it's difficult to place a person in a social network only in one community because people are multifaceted.

But in many cases, it's difficult to place a person in a social network only in one community because people are multifaceted.

I think they're in part, they just want your attention. And so the objective function is such that, you know, they just want to hold your attention. And so they will show you whatever necessary that will keep your attention.

I think they're in part, they just want your attention. And so the objective function is such that, you know, they just want to hold your attention. And so they will show you whatever necessary that will keep your attention.

And so if they believe that like my tie to Brandon is very strong, that we have a strong relationship and Brandon found these things interesting, then they will show it to me as well to just test it, to see whether, you know, they can capture my attention. And then through that, they can show me more ads.

And so if they believe that like my tie to Brandon is very strong, that we have a strong relationship and Brandon found these things interesting, then they will show it to me as well to just test it, to see whether, you know, they can capture my attention. And then through that, they can show me more ads.

Exactly. Exactly. And so they kind of go hand in hand. And in fact, this touches on this issue that we have written a couple of times about. There was a Nature Perspective piece a while back and more recently an AI Journal piece on this. in a way like human AI co-evolution.

Exactly. Exactly. And so they kind of go hand in hand. And in fact, this touches on this issue that we have written a couple of times about. There was a Nature Perspective piece a while back and more recently an AI Journal piece on this. in a way like human AI co-evolution.

So if you think about it, when you're using Amazon, when you're using YouTube, when you're using Google, you're providing data for them. We talked about this, right? And they take that data into account and they make recommendations. Those recommendations then affect what you do in the real life. And then you go back and you provide them more training data.

So if you think about it, when you're using Amazon, when you're using YouTube, when you're using Google, you're providing data for them. We talked about this, right? And they take that data into account and they make recommendations. Those recommendations then affect what you do in the real life. And then you go back and you provide them more training data.