Influential people + influential friends = spread products

Identifying social influence in networks is critical to understanding how behaviors spread. We present a method for identifying influence and susceptibility in networks that avoids biases in traditional estimates of social contagion by leveraging in vivo randomized experimentation. Estimation in a representative sample of 1.3 million Facebook users showed that younger users are more susceptible than older users, men are more influential than women, women influence men more than they influence other women, and married individuals are the least susceptible to influence in the decision to adopt the product we studied. Analysis of influence and susceptibility together with network structure reveals that influential individuals are less susceptible to influence than non-influential individuals and that they cluster in the network, which suggests that influential people with influential friends help spread this product [red text highlighting added].

Identifying Influential and Susceptible Members of Social Networks
Sinan Aral, Dylan Walker

Science http://dx.doi.org/10.1126/science.1215842

Social media have provided plentiful evidence of their capacity for information diffusion. Fads and rumors but also social unrest and riots travel fast and affect large fractions of the population participating in online social networks (OSNs). This has spurred much research regarding the mechanisms that underlie social contagion, and also who (if any) can unleash system-wide information dissemination. Access to real data, both regarding topology—the network of friendships—and dynamics—the actual way in which OSNs users interact, is crucial to decipher how the former facilitates the latter’s success, understood as efficiency in information spreading. With the quantitative analysis that stems from complex network theory, we discuss who (and why) has privileged spreading capabilities when it comes to information diffusion. This is done considering the evolution of an episode of political protest which took place in Spain, spanning one month in 2011

Locating privileged spreaders on an online social network

Javier Borge-Holthoefer, Alejandro Rivero, and Yamir Moreno

Phys. Rev. E 85, 066123 (2012)

http://link.aps.org/doi/10.1103/PhysRevE.85.066123

New research challenges assumptions about Twitter news sharing communities

A new study of tweets spreading news from The New York Times finds that the Internet, while creating an open line of communication across continents, may at the same time be strengthening walls that separate users into ideological camps, and more.

Researchers for the study, “An Exploration of Social Identity: The Geography and Politics of News-Sharing Communities in Twitter,” collected 521,733 tweets posted by 223,950 unique users — all of them posting or retweeting at least three links referring to NYT articles over a fifteen day period, September 14 – 29, 2011. The tweeters were clustered by who communicates with whom, and groups were characterized by the topics they posted most, tweeters’ location, and their biography key words.

What the research team found were obvious and not so obvious connection points along with revelations that challenge easy assumptions about Twitter communities.

While liberal and conservative national political subgroups were identified, other dynamics were teased out in the mathematical modeling performed by the research team.

“A person who is cosmopolitan associates with others who are cosmopolitan, and a US liberal or conservative associates with others who are US liberal or conservative, creating separated social groups with those identities,” said Yaneer Bar-Yam, president of New England Complex Systems Institute (NECSI), where the research was done.

The clusters revealed not only local and national but also global (cosmopolitan) associations. The national group has subgroups specifically political (liberal and conservative) and one that is broadly interested in business, arts and sports. Contrary to frequent media portrayals, said Bar-Yam, the findings in turn suggest that online readers of The New York Times can have competing priorities and are not uniformly liberal.

“A significant fraction of the population has become so strongly identified with ideological camps that those identities drive their social associations,” said Bar-Yam. “For those who are concerned about the polarization of society into liberal and conservative camps, the results have both positive and negative connotations. There are specific subgroups that are polarized into opposing camps, but often associations are local, national and cosmopolitan.”

The study found these dominant clusters in this sample:

  • The cosmopolitan Global Political Group – those interested in international topics, who live in various cities around the world, including New York and Washington DC, are focused on human rights and politics, and may themselves be journalists.
  • The New York Scene – A New York City-oriented group interested in a diverse set of topics including world news, US news, business, arts, fashion and sports.
  • National Business – a group with the strongest focus on business, but also interest in world news, sports, fashion and the arts. It is geographically spread across the US.
  • Two clusters that are also US-based but are specifically liberal and conservative in their political orientation.

The study is available free at www.necsi.edu/research/social/nyttwitter/.

The authors note that more than 100 million tweets are posted each day, and that a significant portion includes links to online information.

Bar-Yam, in assessing the study, noted that “Twitter cannot be ignored in how peer-to-peer and mass media are connecting people separated in space and time—and what that means in the behavior of social systems.”

In a scientific context, each user, he said, “can be thought of as a node in a network, and the relationships as links between them.”

The study authors are Amaç Herdağdelen, Wenyun Zuo, Alexander Gard-Murray and Yaneer Bar-Yam. The work was supported in part by the Office of Naval Research.

Disclaimer: This is post is a press release from NECSI, with which I have no paid connection. While I have used tools borrowed from complexity science in the health sector, my primary interest lies in adapting such insights for everyday use.