Dataset Information

Leading the Game, Losing the Competition: Identifying Leaders and Followers in a Repeated Game.

ABSTRACT: We explore a new method for identifying leaders and followers, LF, in repeated games by analyzing an experimental, repeated (50 rounds) game where Row player shifts the payoff between small and large values-a type of "investor" and Column player determines who gets the payoff-a type of "manager". We found that i) the Investor (Row) most often is a leading player and the manager (Column) a follower. The longer the Investor leads the game, the higher is both player's payoff. Surprisingly however, it is always the Manager that achieves the largest payoff. ii) The game has an efficient cooperative strategy where the players alternate in receiving a high payoff, but the players never identify, or accept, that strategy. iii) Under the assumption that the information used by the players is closely associated with the leader- follower sequence, and that information is available before the player's decisions are made, the players switched LF- strategy primarily as a function of information on the Investor's investment and moves and secondly as a function of the Manager's payoff.

SUBMITTER: Seip KL

PROVIDER: S-EPMC4788453 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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Leading the Game, Losing the Competition: Identifying Leaders and Followers in a Repeated Game.

Seip Knut Lehre KL Grøn Øyvind Ø

PloS one 20160311 3

We explore a new method for identifying leaders and followers, LF, in repeated games by analyzing an experimental, repeated (50 rounds) game where Row player shifts the payoff between small and large values-a type of "investor" and Column player determines who gets the payoff-a type of "manager". We found that i) the Investor (Row) most often is a leading player and the manager (Column) a follower. The longer the Investor leads the game, the higher is both player's payoff. Surprisingly however, ...[more]

PMID: 26968032

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Project description:BackgroundTobacco-related content on social media is generated and propagated by opinion leaders on the Web who disseminate messages to others in their network, including followers, who then continue to spread the information. Opinion leaders can exert powerful influences on their followers' knowledge, attitudes, and behaviors; yet, little is known about the demographic characteristics and tobacco use behavior of tobacco opinion leaders on the Web and their followers, compared with general Twitter users.ObjectiveIn this study, we hypothesized that opinion leaders use more tobacco products and have higher nicotine dependence than the other 2 groups (eg, followers and general Twitter users) and that followers-those who spread messages by opinion leaders-would more likely be in demographic groups that are vulnerable to tobacco marketing influence (eg, young adults and lower educational attainment).MethodsWe constructed the social networks of people who tweet about tobacco and categorized them using a combination of social network and Twitter metrics. To understand the characteristics of tobacco opinion leaders and their followers, we conducted a survey of tobacco opinion leaders, their followers, and general Twitter users. The sample included 347 opinion leaders, 567 followers, and 519 general users. The opinion leaders had a median of 1000 followers, whereas followers and general users had fewer than 600 followers.ResultsOpinion leaders were more likely than their followers to report past month use of tobacco products; followers, in turn, were more likely to report past month use of these products than general Twitter users. The followers appeared to be an especially vulnerable group; they tended to be younger (mean age 22.4 years) and have lower education compared with the opinion leaders and general users.ConclusionsFollowers of Twitter tobacco opinion leaders are a vulnerable group that might benefit from antitobacco education to counter the protobacco communications they see on social media.

Dataset Information

Leading the Game, Losing the Competition: Identifying Leaders and Followers in a Repeated Game.

Publications

Leading the Game, Losing the Competition: Identifying Leaders and Followers in a Repeated Game.

Similar Datasets

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