ALGORITHM MAPS FRIENDSHIPS TO FIGHT SPREAD OF HIV
A brand-new mathematical approach obtains about 60 percent more information about HIV out amongst homeless teenagers and young people.
Social employees at My Friend's Place, a not-for-profit company that helps Los Angeles' homeless young people become more self-sufficient, have been functioning to prevent the spread out of HIV.
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"IT'S A MATHEMATICAL FORMULA OF PEOPLE AND THEIR REAL FRIENDSHIPS"
To maximize the word-of-mouth project, computer system researchers produced a formula that can identify the best individual to spread out words while representing unpredictabilities because person's social circle. As social employees verify the person's relationships, the formula obtains smarter and its answers are improved.
Amulya Yadav, a PhD trainee in the computer system scientific research division of the USC Viterbi Institution of Design, and associates provided the formula today at the Organization for Advancement of Artificial Knowledge conference in Austin, Texas.
WHO ARE THE ‘INFLUENCERS'?
Homelessness affects about 2 million individuals matured 13-24 every year in the Unified Specifies. Of them, 11 percent are HIV-positive—that's 10 times the rate of infection in the basic populace, scientists say.
Eric Rice, an aide teacher at the USC Institution of Social Work and coauthor of the paper, has been functioning with My Friend's Place since 2003 to produce more effective public-health projects. A mathematical approach to the problem made good sense.
"Among the greatest, thorniest problems when you are discussing peer-led programs is: who's supposed to be the peer?" Rice says. "What Amulya's work does so well is it provides a computer system formula that picks peers in a a lot more advanced way compared to we could do without that technology."
At this phase in development, the formula exists just on a computer system. But authorities at My Friend's Place are evaluating it.
"Addressing the complex issue of young people homelessness requires both great dedication and development," says Heather Carmichael, the exec supervisor of My Friend's Place.
"With greater need compared to sources, it's imperative that we be tactical in our application of programs for the best favorable effect on the lives of the young people we offer."
MAPPING FRIENDSHIPS
To produce the formula, the scientists mapped the relationships of homeless teenagers and young people at My Friend's Place. Every node, or link point, on the map stands for an individual, and links in between everyone suggests that both are friends.
"It is a mathematical formula of individuals and their real relationships," Yadav says. "There are some relationships that we're not certain about, and there are some relationships that we're certain about, so we maintain all this information. This gives us input for our formula. We extrapolate the problem right into a chart. After that, once we have our formula, we can equate our solutions back to the real-world network."
After evaluating what could be an extremely complex map of relationships, the computer system formula can determine which nodes (or names) are best positioned to influence their peers and maximize the message of a word-of-mouth project.
Unlike various other word-of-mouth models, this formula accounts for unpredictabilities, which can occur if a young adult provides just an unclear summary of their friends. The formula is also unique because it enables social media networks to develop.
"Among the points that is really challenging about homeless young people is that there's a great deal of unpredictability. It is not such as institution. This is a a lot more liquid populace. They show up someday, they do not show up again for another month. They show up along with a buddy someday, a couple of months later on they do not talk to every various other anymore—so there is a great deal more sound," Rice says.
"That is component of why this program's so great, is because it can extrapolate all that loud information and help us make better guesses."
