Web address:
     http://www.sciencedaily.com/releases/2011/07/
     110725190044.htm   
Minority Rules: Scientists Discover Tipping Point for the Spread of Ideas
enlarge

In this visualization, we see the tipping point where minority opinion (shown 
in red) quickly becomes majority opinion. Over time, the minority opinion 
grows. Once the minority opinion reached 10 percent of the population, the 
network quickly changes as the minority opinion takes over the original 
majority opinion (shown in green). (Credit: SCNARC/Rensselaer Polytechnic 
Institute)

ScienceDaily (July 26, 2011) — Scientists at Rensselaer Polytechnic Institute 
have found that when just 10 percent of the population holds an unshakable 
belief, their belief will always be adopted by the majority of the society. The 
scientists, who are members of the Social Cognitive Networks Academic Research 
Center (SCNARC) at Rensselaer, used computational and analytical methods to 
discover the tipping point where a minority belief becomes the majority 
opinion. The finding has implications for the study and influence of societal 
interactions ranging from the spread of innovations to the movement of 
political ideals.

"When the number of committed opinion holders is below 10 percent, there is no 
visible progress in the spread of ideas. It would literally take the amount of 
time comparable to the age of the universe for this size group to reach the 
majority," said SCNARC Director Boleslaw Szymanski, the Claire and Roland 
Schmitt Distinguished Professor at Rensselaer. "Once that number grows above 10 
percent, the idea spreads like flame."

As an example, the ongoing events in Tunisia and Egypt appear to exhibit a 
similar process, according to Szymanski. "In those countries, dictators who 
were in power for decades were suddenly overthrown in just a few weeks."

The findings were published in the July 22, 2011, early online edition of the 
journal Physical Review E in an article titled "Social consensus through the 
influence of committed minorities."

An important aspect of the finding is that the percent of committed opinion 
holders required to shift majority opinion does not change significantly 
regardless of the type of network in which the opinion holders are working. In 
other words, the percentage of committed opinion holders required to influence 
a society remains at approximately 10 percent, regardless of how or where that 
opinion starts and spreads in the society.

To reach their conclusion, the scientists developed computer models of various 
types of social networks. One of the networks had each person connect to every 
other person in the network. The second model included certain individuals who 
were connected to a large number of people, making them opinion hubs or 
leaders. The final model gave every person in the model roughly the same number 
of connections. The initial state of each of the models was a sea of 
traditional-view holders. Each of these individuals held a view, but were also, 
importantly, open minded to other views.

Once the networks were built, the scientists then "sprinkled" in some true 
believers throughout each of the networks. These people were completely set in 
their views and unflappable in modifying those beliefs. As those true believers 
began to converse with those who held the traditional belief system, the tides 
gradually and then very abruptly began to shift.

"In general, people do not like to have an unpopular opinion and are always 
seeking to try locally to come to consensus. We set up this dynamic in each of 
our models," said SCNARC Research Associate and corresponding paper author 
Sameet Sreenivasan. To accomplish this, each of the individuals in the models 
"talked" to each other about their opinion. If the listener held the same 
opinions as the speaker, it reinforced the listener's belief. If the opinion 
was different, the listener considered it and moved on to talk to another 
person. If that person also held this new belief, the listener then adopted 
that belief.

"As agents of change start to convince more and more people, the situation 
begins to change," Sreenivasan said. "People begin to question their own views 
at first and then completely adopt the new view to spread it even further. If 
the true believers just influenced their neighbors, that wouldn't change 
anything within the larger system, as we saw with percentages less than 10."

The research has broad implications for understanding how opinion spreads. 
"There are clearly situations in which it helps to know how to efficiently 
spread some opinion or how to suppress a developing opinion," said Associate 
Professor of Physics and co-author of the paper Gyorgy Korniss. "Some examples 
might be the need to quickly convince a town to move before a hurricane or 
spread new information on the prevention of disease in a rural village."

The researchers are now looking for partners within the social sciences and 
other fields to compare their computational models to historical examples. They 
are also looking to study how the percentage might change when input into a 
model where the society is polarized. Instead of simply holding one traditional 
view, the society would instead hold two opposing viewpoints. An example of 
this polarization would be Democrat versus Republican.

The research was funded by the Army Research Laboratory (ARL) through SCNARC, 
part of the Network Science Collaborative Technology Alliance (NS-CTA), the 
Army Research Office (ARO), and the Office of Naval Research (ONR).

The research is part of a much larger body of work taking place under SCNARC at 
Rensselaer. The center joins researchers from a broad spectrum of fields -- 
including sociology, physics, computer science, and engineering -- in exploring 
social cognitive networks. The center studies the fundamentals of network 
structures and how those structures are altered by technology. The goal of the 
center is to develop a deeper understanding of networks and a firm scientific 
basis for the newly arising field of network science. More information on the 
launch of SCNARC can be found at 
http://news.rpi.edu/update.do?artcenterkey=2721&setappvar=page(1)

Szymanski, Sreenivasan, and Korniss were joined in the research by Professor of 
Mathematics Chjan Lim, and graduate students Jierui Xie (first author) and 
Weituo Zhang.
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Story Source:

    The above story is reprinted (with editorial adaptations by ScienceDaily 
staff) from materials provided by Rensselaer Polytechnic Institute.

Journal Reference:

    J. Xie, S. Sreenivasan, G. Korniss, W. Zhang, C. Lim, B. Szymanski. Social 
consensus through the influence of committed minorities. Physical Review E, 
2011; 84 (1) DOI: 10.1103/PhysRevE.84.011130

Need to cite this story in your essay, paper, or report? Use one of the 
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Rensselaer Polytechnic Institute (2011, July 26). Minority rules: Scientists 
discover tipping point for the spread of ideas. ScienceDaily. Retrieved July 
27, 2011, from http://www.sciencedaily.com­ /releases/2011/07/110725190044.htm

Note: If no author is given, the source is cited instead.

Disclaimer: This article is not intended to provide medical advice, diagnosis 
or treatment. Views expressed here do not necessarily reflect those of 
ScienceDaily or its staff.




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