MAKING THE BEST DECISION: MATH SHOWS DIVERSE THINKERS EQUAL BETTER RESULTS

A Florida State University researcher published a new study today that tackles how groups make decisions and the dynamics that make for fast and accurate decision making. He found that networks that consisted of both impulsive and deliberate individuals made, on average, quicker and better decisions than a group with homogenous thinkers.

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Like Humans, Beluga Whales Form Social Networks Beyond Family Ties

A groundbreaking study is the first to analyze the relationship between group behaviors, group type, group dynamics, and kinship of beluga whales in 10 locations across the Arctic. Results show that not only do beluga whales regularly interact with close kin, including close maternal kin, they also frequently associate with more distantly related and unrelated individuals. Findings will improve the understanding of why some species are social, how individuals learn from group members and how animal cultures emerge.

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Which Comes First: The Heavy Drinking Young Adult or the Alcohol-Saturated Social Culture?

Heavy-drinking peer groups increase young adults’ desire to drink, according to a study in Alcoholism: Clinical and Experimental Research. Investigators used behavioral economic theory — the science of how people make choices — to assess motivations for consuming alcohol among a diverse sample of young adult drinkers. Young adults’ motivation to drink alcohol, as well as their likelihood of misusing it, is associated with how it is consumed within their social networks. But it is not well understood how these factors influence each other, and how those effects may vary depending on sex, race, and education level. For example, does the culture of heavy drinking in US colleges drive the high demand for alcohol there, or is alcohol demand high among young adults generally?

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A Faster Way To Replace Inaccurate Information On Social Networks

Researchers have demonstrated a new model of how competing pieces of information spread in online social networks and the Internet of Things. The findings may be used to disseminate accurate information more quickly, displacing false information on anything from computer security to public health.

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