by Troy Brown
Social networks offer many opportunities to stimulate healthy behavior by accelerating the change process and reaching more people than would otherwise be possible, according to a review published in the July 5 issue of Science.
In the review, Thomas W. Valente, PhD, professor of preventive medicine at the Keck School of Medicine of the University of Southern California in Los Angeles, illustrates these strategies and discusses ways that each can be used.
“Network interventions are purposeful efforts to use social networks or social network data to generate social influence, accelerate behavior change, improve performance, and/or achieve desirable outcomes among individuals, communities, organizations, or populations,” writes Dr. Valente.
Individuals
This is the most basic network intervention, and it involves using network data to identify individuals or opinion leaders who can act as champions of the behavior change. Selection of opinion leaders can be done by counting nominations from group members or using a mathematical algorithm to identify central nodes based on different definitions of centrality.
This strategy involves identifying the people best able to influence members to adopt the behavior change and those most likely to disrupt the change process. Dr. Valente notes that group leaders might not always be the most effective agents of change because they might have a vested interest in maintaining the status quo; for this reason, bridging individuals, who have connections to people in more than one group, might be a more effective way to promote change.
Low-threshold adapters, or early adapters, can be used early on to build momentum and create an early tipping point.
Segmentation
This approach identifies groups of people who will change at the same time. “Group-detection algorithms create mutually exclusive groups and an overall index indicating how well the groups represent the overall network structure,” writes Dr. Valente. In a work environment, groups might be organized according to the roles individuals play in the organization.
Induction
“Induction interventions stimulate or force peer-to-peer interaction to create cascades in information/behavioral diffusion,” Dr. Valente explains. Such strategies can involve word-of-mouth campaigns, which are often employed to create a “buzz” about a specific product or behavior.
Respondent-driven sampling (RDS) methods use people (seeds) to recruit others (usually closely associated peers) to participate in a study (like a clinical trial) or to receive an intervention. RDS can be very effective at reaching people who would be otherwise difficult to reach, perhaps because they are in a marginalized group (like injection-drug users). This method involves identifying the number of seeds to start with, and the number of people each seed can be expected to recruit.
In network outreach, which is similar to RDS, network seeds recruit people in their personal networks to participate in an intervention as a group. It is thought that this is more effective than individual interventions because the group reinforces the behavior change.
Alteration
This strategy is different than the other 3 methods, in which the networks are fairly static. In this strategy, the network is intentionally altered to improve efficiency. Three different tactics can be used to accomplish this: adding/deleting nodes, adding/deleting links, and rewiring existing links.
Adding nodes involves bringing someone in from the outside to encourage change in the network. This approach can involve using health professionals or lay health advisors to educate the group. Support groups like Alcoholics Anonymous use this approach to add support people to a person’s network.
Node-deletion strategies identify and remove critical nodes in the network as a means of effecting change; an example of this is antiterrorism strategies designed to weaken a terrorist network.
Networks can also be altered to increase efficiency or improve performance. Teachers often do this when they divide a class into study groups and distribute skill levels evenly in the groups.
Intervention Selection
“Selecting an appropriate network intervention depends on many factors, including the type and character of available network data, the type of behavior change being promoted, and the environmental or situational context,” writes Dr. Valente.
“Network data can be derived from many sources, including archived communications (such as phone, email, text messaging, and listserve postings), participant observations, published sources (such as corporate board membership), and survey data,” Dr. Valente notes.
He explains that although there are many benefits to using social networks to stimulate positive behavior change, there are risks as well. Members might not want to be identified by the group to which they belong, or they might not want their level of involvement to be widely known.
In addition, few of the network intervention methods have been studied in laboratory or real-world settings. “By understanding how social networks can be used to improve learning, performance, and organizational outcomes, we can use the power of human interaction to improve the human condition,” Dr. Valente writes.
From Medscape Medical News
http://www.medscape.com/viewarticle/766988?sssdmh=dm1.800869&src=nldne
Posted: 7/6/2012