Structure of Romantic and Sexual relationship

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SUMMARY

The discussion centers on a sociological survey conducted at Jefferson High School, which visualizes the network of romantic and sexual relationships among students. The study reveals that 52% of romantically involved students are interconnected, suggesting a complex web of relationships that extends beyond individual awareness. Participants express skepticism about the accuracy of the visual representation, particularly regarding the interpretation of "romantic relations" versus sexual interactions. The conversation highlights the implications of these connections for understanding the spread of STDs among adolescents.

PREREQUISITES
  • Understanding of sociological survey methodologies
  • Familiarity with network theory and graph theory concepts
  • Knowledge of sexual health and STD transmission dynamics
  • Awareness of adolescent relationship behaviors and patterns
NEXT STEPS
  • Research "network analysis in sociology" to understand relationship mapping
  • Study "graph theory applications in social sciences" for deeper insights
  • Explore "adolescent sexual health education" to inform prevention strategies
  • Investigate "epidemiology of STDs" to understand disease transmission in social networks
USEFUL FOR

Researchers, sociologists, public health officials, and educators focused on adolescent behavior, relationship dynamics, and sexual health education will benefit from this discussion.

  • #31
The key words in the web page are "romantic" and "observed". This indicates that the snoops taking data are not asking questions about sex, but looking for hand-holding and kissing n' similar stuff. They've been given (hopefully) some criterion to judge 'romantic relationship'.
 
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  • #32
lisab said:
The other male-male is actually on the ring...the SE part.
Mph. Still not seeing it. Then again, they're pretty mashed together. I may be discounting an intersection of dots that you are considering a valid link.


mcknia07 said:
Wow, talk about kids being active now-a-days... Hahaha

I dunno, I had 3 gfs before leaving HS (and 3 more with HS students once I was in college, but they don't count those in the graph).

[ EDIT:omg, did I just commit braggery? ]
 
  • #33
14ujdeb.jpg


Yes I agree, it's sort of bunched up in that corner. But the fact that there's an odd number (37) gives it away.
 
  • #34
DaveC426913 said:
I dunno, I had 3 gfs before leaving HS (and 3 more with HS students once I was in college, but they don't count those in the graph).

[ EDIT:omg, did I just commit braggery? ]

Ohm, I'm tellin'... Well maybe I just wasn't cool or attractive in high school. I never had any boyfriends. It's so not the case anymore :biggrin: well the boyfriend part, I'm still unattractive, lol.
 
  • #35
lisab said:
The other male-male is actually on the ring...the SE part.

lisab said:
14ujdeb.jpg
Ah. I see the problem. You meant the other SE corner - i.e. SW. :wink:
 
  • #36
mcknia07 said:
Ohm, I'm tellin'... Well maybe I just wasn't cool or attractive in high school. I never had any boyfriends. It's so not the case anymore :biggrin: well the boyfriend part, I'm still unattractive, lol.
I'm pretty sure your pic is there in the Member photo thread, and unless I'm disremembering, it wasn't something to sneeze at.

omg, did you just commit fishing-ery? :wink:
 
  • #37
DaveC426913 said:
Ah. I see the problem. You meant the other SE corner - i.e. SW. :wink:

Ahahahaha, you're right...so sorry, Dave :redface:!
 
  • #38
LOL, well thanks.

Fishing-ery? Say what?
 
  • #39
I had boyfriends when I was in high school, but none of them were in high school. I guess there's no mapping for that.
 
  • #40
Math Is Hard said:
I had boyfriends when I was in high school, but none of them were in high school. I guess there's no mapping for that.

DAAAAAANG MIH, you got it going on I see :wink:
 
  • #41
Woo Who! Way to work it MIH! Teach me your game :biggrin:
 
  • #42
I notice it isn't time dependent. That is to say, that it does not show which relations come first. This makes the data a little less useful in disease spreading analysis. This is what I mean by eaxmple:
Person A has a relation with Person B and after that with Person C.
Person C has had 3 relations.
So, Person A has had in effect 5 relations (person B, Person C and the 3 relations of Person C (if they all occurred beforehand)) whereas even though Person B is connected to Person A, they have only had one relation as it occurred before Person A connected to person C.
I think this is an important thing to note when trying to track diseases.

It is a very interesting plot though and makes me shudder a little at the possible connections that I may have made in my lifetime.
 
  • #43
Do I know you redargon? Just think of the possibilities.
 
  • #44
Math Is Hard said:
You know this guy has to be totally hot.

I'm surprised there aren't more loops. The long straight strings seem more surprising than a large ring.

So, the guy in MIH's section is totally hot and his wingman picks up the pieces after the inevitable breakup?

Or is it the other way around and whenever the wingman gets a girlfriend, the hot guy steals her from him?

:smile:
 
  • #45
I found it odd that the authors forgot to group some of the repeating patterns.

I also think that the interconnectedness would be much higher if they used a time period longer than 6 months. 6 months is very short..I think it would have made more sense to use the period of "while you have attended this high school."
 
  • #46
Huckleberry said:
Do I know you redargon? Just think of the possibilities.

It's like the six degrees of separation thing, but for sexual relationships. I guess almost everyone has done it with Kevin Bacon then :wink: :-p
 
  • #47
junglebeast said:
I also think that the interconnectedness would be much higher if they used a time period longer than 6 months. 6 months is very short..I think it would have made more sense to use the period of "while you have attended this high school."
I had not thought of that.

6 months. Stud-muffin there dated all those girls inside of six months??

I'd like to see this chart correlated with a police report of unexplained deaths...
 
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  • #48
I see a cool business idea to start romantic/sexual network web portal, like linkedin or facebook. It would be fun to play the shortest distance game (the one we played using wikipedia, in another GD thread).

well, the fun ends when you see your blood relatives in the portal :(
 
  • #49
jobyts said:
I see a cool business idea to start romantic/sexual network web portal, like linkedin or facebook. It would be fun to play the shortest distance game (the one we played using wikipedia, in another GD thread).

well, the fun ends when you see your blood relatives in the portal :(

It would be flooded with 14 year old boys saying "I banged this chick" and fourteen year old girls saying "No you didn't!"

Ye gods, think of the ad revenue
 
  • #50
Office_Shredder said:
fourteen year old girls saying "No you didn't!"
Please. Proper spelling and grammar. "Oh no you di' 'int!"
 
  • #51
I wish I had the raw data. These dots and strings are not enlightening. A more useful representation of the data would be "How many relationships-How many people exposed." Bar/line graph.

I have a good feeling it will be exponential.

It would also be better to just have a survey of sexual relationships instead of the other since romantic relationships DO NOT imply a sexual one.
 
  • #52
The text describes a non-romantic relationship as one in which the couple are having intercourse but not dating. I'm assuming that a romantic relationship involves intercourse and dating. If the study is to be used to apply STD prevention then it doesn't make sense otherwise.

(Romantic relationships were ones in which the students named the other as a romantic partner. Non-romantic sexual partners were those in which the participants said they had sexual intercourse, but were not dating).
“The students in this network are not unusual. They are just average students, and not extremely active sexually. So social policies that could help some of them protect themselves from STDs could break a lot of these chains that can lead to the spread of disease.”
 
  • #53
Huckleberry said:
If the study is to be used to apply STD prevention then it doesn't make sense otherwise.

If the study is to be used to apply STD prevention then it doesn't make sense anyway.

as I said earlier:

regargon said:
I notice it isn't time dependent. That is to say, that it does not show which relations come first. This makes the data a little less useful in disease spreading analysis. This is what I mean by eaxmple:
Person A has a relation with Person B and after that with Person C.
Person C has had 3 relations.
So, Person A has had in effect 5 relations (person B, Person C and the 3 relations of Person C (if they all occurred beforehand)) whereas even though Person B is connected to Person A, they have only had one relation as it occurred before Person A connected to person C.
I think this is an important thing to note when trying to track diseases.
 
  • #54
redargon said:
If the study is to be used to apply STD prevention then it doesn't make sense anyway.

as I said earlier:

The graph is not a TSP (Traveling Salesman's) problem. Also,
When they say it's applied to prevent STD, they don't mean how many people got STD from person X. And the pattern helps in creating effective strategy to prevent STD.
The following is the sex pattern they found different between adults and teenagers.

In adult populations, in which there are cores of sexually active people who are the main conduits of disease, you can focus education and other efforts to this select group.

But in the case of adolescents, “there aren’t any hubs to target, so you have to focus on broad-based interventions,” Moody said. “You can’t just focus on a small group.”

The interpretation of the graph is, in adults, it's more of a hub-spoke topology, whereas among teens, it's more random.
 
  • #55
redargon said:
If the study is to be used to apply STD prevention then it doesn't make sense anyway.

Yeah, you're right. I was only speculating on their definition of 'romantic relationship'. If they chose to include non-sexual dating as romantic relations then it would make even less sense. Including intercourse in their definition still doesn't improve upon their method.

The only time related reference I saw was that it is limited to partners within a 6 month period. It's pretty vague, but it makes for a pretty chart.
 
  • #56
redargon said:
If the study is to be used to apply STD prevention then it doesn't make sense anyway.

as I said earlier:

It does if you're looking at things from a probability point of view. The people involved won't know the detailed sexual history of their partners (or whether the sex was protected or unprotected).
 
  • #57
DaveC426913 said:
I am pretty sure that the appearance of those connectons as a ring is an artifact of arbitrary organization. While factual, it has little meaning.

Well, I was just getting into this whole thread but now the mood is ruined. :frown:
 
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  • #58
I can't think of another message board I've been a member of where a picture of dots and lines could generate four pages worth of discussion and analysis.

That's one reason why I like it here. :biggrin:
 
  • #59
Redbelly98 said:
Well, I was just getting into this whole thread but now the mood is ruined. :frown:

Yes, The initial mood was trying to find out who is the biggest stud and slut, and question like do they do orgies etc. (also Dave's attempt to imagine himself as the blue dot connected to 6 pinks , until he knew it's a 6 months graph, not a six year graph :-p)

But later the talk changed to graph theory and STD
 
  • #60
Office_Shredder said:
Yes I am, but you shouldn't go looking for special meaning into the big circle, because there's probably something similar in every group just by probability

DaveC426913 said:
I am pretty sure that the appearance of those connectons as a ring is an artifact of arbitrary organization. While factual, it has little meaning.

If you have a random set of dots laid out and make random connections, you get topological data minus spatial organization. Then you manually arrange all those branches and nodes to be as visually organized as possible, it will disproportionately highlight things like this. It's just unavoidable.

Actually I thought it was quite unusual for a random graph -- for as many connections as there are, I would expect a larger main component. It's only 1/4 to 1/3 the population.
 

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