Spatially quantifying the leadership effectiveness in collective behavior

Among natural biological flocks/swarms or mass social activities, when the collective behavior of the followers has been dominated by the direction or opinion of one leader group, it seems difficult for later-coming leaders to reverse the orientation of the mass followers, especially when they are in quantitative minority. This paper, however, reports a counter-intuitive phenomenon, i.e. Following the Later-coming Minority, provided that the later-comers obey a favorable distribution pattern that enables them to spread their influence to as many followers as possible within a given time and to be dense enough to govern these local followers they can influence directly from the beginning. We introduce a discriminant index to quantify the whole group's orientation under competing leaderships, with which the eventual orientation of the mass followers can be predicted before launching the real dynamical procedure. From the application point of view, this leadership effectiveness index also helps us to design an economical way for the minority later-coming leaders to defeat the dominating majority leaders solely by optimizing their spatial distribution pattern provided that the premeditated goal is available. Our investigation provides insights into effective leadership in biological systems with meaningful implications for social and industrial applications.

[1]  I. Couzin,et al.  Collective behavior in cancer cell populations , 2009, BioEssays : news and reviews in molecular, cellular and developmental biology.

[2]  I. Couzin,et al.  Collective memory and spatial sorting in animal groups. , 2002, Journal of theoretical biology.

[3]  Reza Olfati-Saber,et al.  Flocking for multi-agent dynamic systems: algorithms and theory , 2006, IEEE Transactions on Automatic Control.

[4]  D. Sumpter The principles of collective animal behaviour , 2006, Philosophical Transactions of the Royal Society B: Biological Sciences.

[5]  Joseph J. Hale,et al.  From Disorder to Order in Marching Locusts , 2006, Science.

[6]  Zoltán Toroczkai,et al.  Competition-driven network dynamics: emergence of a scale-free leadership structure and collective efficiency. , 2004, Physical review letters.

[7]  Eamonn B. Mallon,et al.  Information flow, opinion polling and collective intelligence in house-hunting social insects. , 2002, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[8]  Robert Shield,et al.  Modeling the Effect of Leadership on Crowd Flow Dynamics , 2004, ACRI.

[9]  Charlotte K. Hemelrijk,et al.  Leadership in fish shoals , 2000 .

[10]  I. Couzin,et al.  Effective leadership and decision-making in animal groups on the move , 2005, Nature.

[11]  D. Helbing,et al.  Leadership, consensus decision making and collective behaviour in humans , 2009, Philosophical Transactions of the Royal Society B: Biological Sciences.

[12]  Madeleine Beekman,et al.  How does an informed minority of scouts guide a honeybee swarm as it flies to its new home? , 2006, Animal Behaviour.

[13]  T. Vicsek,et al.  Hierarchical group dynamics in pigeon flocks , 2010, Nature.

[14]  T. Seeley,et al.  Honeybee Ecology: A Study of Adaptation in Social Life , 1985 .

[15]  C. Dreu,et al.  Differential processing and attitude change following majority versus minority arguments , 1996 .

[16]  Dirk Helbing,et al.  Simulating dynamical features of escape panic , 2000, Nature.

[17]  Vicsek,et al.  Novel type of phase transition in a system of self-driven particles. , 1995, Physical review letters.

[18]  T. J. Roper,et al.  Group decision-making in animals , 2003, Nature.

[19]  Lennart Ljung,et al.  System Identification: Theory for the User , 1987 .

[20]  Kevin N. Laland,et al.  Familiarity facilitates social learning of foraging behaviour in the guppy , 2001, Animal Behaviour.