The dynamics of collective social behavior in a crowd controlled game

Aleta, Alberto; Moreno, Yamir

doi:10.1140/epjds/s13688-019-0200-1

Cited by 16 publications

(5 citation statements)

References 45 publications

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“…We show that a majority of teams feature a core group of players that results in a large proportion of teams having a similar make-up. We call this phenomenon the template team which appears to emerge at different points in the season; this type of collective behaviour has been observed in such social settings previously, see, for example [ 38 , 39 ]. We identify the template team by using the network structure describing the teams of all managers, which is described by the adjacency matrix , whereby an edge between two players i and j appearing in n teams for a given gameweek G describes a value in the matrix given by .…”

Section: Resultsmentioning

confidence: 95%

Identification of skill in an online game: The case of Fantasy Premier League

2021

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In all competitions where results are based upon an individual’s performance the question of whether the outcome is a consequence of skill or luck arises. We explore this question through an analysis of a large dataset of approximately one million contestants playing Fantasy Premier League, an online fantasy sport where managers choose players from the English football (soccer) league. We show that managers’ ranks over multiple seasons are correlated and we analyse the actions taken by managers to increase their likelihood of success. The prime factors in determining a manager’s success are found to be long-term planning and consistently good decision-making in the face of the noisy contests upon which this game is based. Similarities between managers’ decisions over time that result in the emergence of ‘template’ teams, suggesting a form of herding dynamics taking place within the game, are also observed. Taken together, these findings indicate common strategic considerations and consensus among successful managers on crucial decision points over an extended temporal period.

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Section: Resultsmentioning

confidence: 95%

Identification of skill in an online game: The case of Fantasy Premier League

2021

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“…We show that a majority of teams feature a core group of players that results in a large proportion of teams having a similar make-up. We call this phenomenon the template team which appears to emerge at different points in the season; this type of collective behaviour has been observed in such social settings previously, see, for example [37,38]. We identify the template team by using the network structure describing the teams of all managers, which is described by the adjacency matrix A G ij , whereby an edge between two players i and j appearing in n teams for a given gameweek G describes a value in the matrix given by A G ij = n. This matrix is similar in nature to the co-citation matrix used within the field of bibliometrics [39], see Fig.…”

Section: Template Teammentioning

confidence: 86%

Identification of skill in an online game: The case of Fantasy Premier League

O'Brien,

Gleeson,

O'Sullivan

2020

Preprint

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In all competitions where results are based upon an individual's performance the question of whether the outcome is a consequence of skill or luck arises. We explore this question through an analysis of a large dataset of approximately one million contestants playing Fantasy Premier League, an online fantasy sport where managers choose players from the English football (soccer) league. We show that managers' ranks over multiple seasons are correlated and we analyse the actions taken by managers to increase their likelihood of success. The prime factors in determining a manager's success are found to be long-term planning and consistently good decision-making in the face of the noisy contests upon which this game is based. Similarities between managers' decisions over time that result in the emergence of 'template' teams, suggesting a form of herding dynamics taking place within the game, are also observed. Taken together, these findings indicate common strategic considerations and consensus among successful managers on crucial decision points over an extended temporal period.

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“…Our work add to a list of notable Internet performances, including Reddit Place and Twitch Plays Pokémon, which highlighted how intelligent goal-oriented behavior, typical of higher cognitive functions, can emerge in a decentralized manner from distributed social systems [1,11]. At the same time, our work employs a real-time democratic consensus system based on language, instead of simpler local aggregation rules typically used in other Internet performances.…”

Section: Discussionmentioning

confidence: 99%

Real-time Internet Control of Situated Human Agents

Pescetelli

Cebrián

Rahwan

2020

Preprint

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We present an online platform, called BeeMe, designed to test the current boundaries of Internet collective action and problem solving.BeeMe allows a scalable internet crowd of online users to collectively control the actions of a human surrogate acting in physical space.BeeMe demonstrates how intelligent goal-oriented decision-making can emerge from large crowds in quasi real-time. We analyzed data collected from a global BeeMe live performance that involved thousands of individuals, collectively solving a sci-fi Internet mystery. We study simple heuristic algorithms that read in users' chat messages and output human actionable commands representing majority preferences, and compare their performance to the behavior of a human operator solving the same task. Results show that simple heuristics can achieve near-human performance in interpreting the democratic consensus. When human and machine's output differ, the discrepancy is often due to human bias favoring non-representative views. We discuss our results in light of previous work and the contemporary debate on democratic digital systems.Humans are extreme cooperators [18,20]. The evolution of language allowed our species to coordinate actions, thoughts and intentions. Contrary to other social species -like eusocial insects and other primates -humans cooperate in large-scale societies of largely non-related individuals [4,6,8]. The increasing returns of group scale, evident for instance in warfare, big game hunting, or tax collection, has put pressure on humans to develop norms and institutions that allow increasingly larger social groups to cooperate and act together [3,21,22]. Social norms and institutionsdefined as the set of culturally acquired rules governing the behavior of individuals in specific contexts [21]-are considered solutions to the collective action problem, arising when selfish instincts must be suppressed in favor of higher group payoffs [8,13,17]. Religion and political states are thought to have provided a range of innovations-like moralizing gods, policing and representative hierarchies -that maintain fairness, punish non-cooperators and increase

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The dynamics of collective social behavior in a crowd controlled game

Cited by 16 publications

References 45 publications

Identification of skill in an online game: The case of Fantasy Premier League

Identification of skill in an online game: The case of Fantasy Premier League

Identification of skill in an online game: The case of Fantasy Premier League

Real-time Internet Control of Situated Human Agents

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