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involved in a sexual or romantic relationship. Of those, many (126) were
involved with only one partner over the previous 18 months, but there were
also larger components where a person may have been involved with more
than one other person.
Figure 1-14
(created using Gephi) shows a large component of 288 students
linked by sexual relationship. This graph is important because it indicates
how approximately 50 percent of sexually involved students could be linked
in the diffusion of sexually transmitted diseases (STDs).
Figure 1-14:
In this visualization of romantic and sexual relationships at a
Midwest high school, you see how a large percentage of students surveyed
are connected to each other through long chains of relationships.
The spread of diseases is similar to the spread of viral marketing or the
spread of opinions and sentiment. Some firms may have data based on sales
referrals or e-mail or extracted from social media such as Twitter.
Analyzing these social networks will often reveal clusters with higher
densities of interconnections known in graph terms as
communities
.
