Using Quantum Agent-Based Simulation to Model Social Networks

2014 ◽  
pp. 909-921
Author(s):  
C. Bisconti ◽  
A. Corallo ◽  
M. De Maggio ◽  
F. Grippa ◽  
S. Totaro

This research aims to apply models extracted from the many-body quantum mechanics to describe social dynamics. It is intended to draw macroscopic characteristics of organizational communities starting from the analysis of microscopic interactions with respect to the node model. In this chapter, the authors intend to give an answer to the following question: which models of the quantum physics are suitable to represent the behaviour and the evolution of business processes? The innovative aspects of the project are related to the application of models and methods of the quantum mechanics to social systems. In order to validate the proposed mathematical model, the authors intend to define an open-source platform able to model nodes and interactions within a network, to visualize the macroscopic results through a digital representation of the social networks.

Author(s):  
C. Bisconti ◽  
A. Corallo ◽  
M. De Maggio ◽  
F. Grippa ◽  
S. Totaro

This research aims to apply models extracted from the many-body quantum mechanics to describe social dynamics. It is intended to draw macroscopic characteristics of organizational communities starting from the analysis of microscopic interactions with respect to the node model. In this chapter, the authors intend to give an answer to the following question: which models of the quantum physics are suitable to represent the behaviour and the evolution of business processes? The innovative aspects of the project are related to the application of models and methods of the quantum mechanics to social systems. In order to validate the proposed mathematical model, the authors intend to define an open-source platform able to model nodes and interactions within a network, to visualize the macroscopic results through a digital representation of the social networks.


2010 ◽  
Vol 1 (1) ◽  
pp. 1-11 ◽  
Author(s):  
C. Bisconti ◽  
A. Corallo ◽  
M. De Maggio ◽  
F. Grippa ◽  
S. Totaro

In this paper, the authors apply models extracted from the Many-Body Quantum Mechanics to understand how knowledge production is correlated to the innovation potential of a work team. This study is grounded in key assumtpions. First, complexity theory applied to social science suggests that it is of paramount importance to consider elements of non-objectivity and non-determinism in the statistical description of socio-economic phenomena. Second, a typical factor of indeterminacy in the explanation of these phenomena lead to the need to apply the instruments of quantum physics to formally describe social behaviours. In order to experiment the validity of the proposed mathematic model, the research intends to: 1) model nodes and interactions; 2) simulate the network behaviour starting from specific defined models; 3) visualize the macroscopic results emerging during the analysis/simulation phases through a digital representation of the social network.


2020 ◽  
Vol 117 (6) ◽  
pp. 2993-2999 ◽  
Author(s):  
Roslyn Dakin ◽  
T. Brandt Ryder

The dynamics of social networks can determine the transmission of information, the spread of diseases, and the evolution of behavior. Despite this broad importance, a general framework for predicting social network stability has not been proposed. Here we present longitudinal data on the social dynamics of a cooperative bird species, the wire-tailed manakin, to evaluate the potential causes of temporal network stability. We find that when partners interact less frequently and when social connectedness increases, the network is subsequently less stable. Social connectivity was also negatively associated with the temporal persistence of coalition partnerships on an annual timescale. This negative association between connectivity and stability was surprising, especially given that individual manakins who were more connected also had more stable partnerships. This apparent paradox arises from a within-individual behavioral trade-off between partnership quantity and quality. Crucially, this trade-off is easily masked by behavioral variation among individuals. Using a simulation, we show that these results are explained by a simple model that combines among-individual behavioral heterogeneity and reciprocity within the network. As social networks become more connected, individuals face a trade-off between partnership quantity and maintenance. This model also demonstrates how among-individual behavioral heterogeneity, a ubiquitous feature of natural societies, can improve social stability. Together, these findings provide unifying principles that are expected to govern diverse social systems.


2019 ◽  
Vol 4 (1) ◽  
pp. 17 ◽  
Author(s):  
Tommaso Macrì ◽  
Fabio Cinti

Crystallization is a generic phenomenon in classical and quantum mechanics arising in a variety of physical systems. In this work, we focus on a specific platform, ultracold dipolar bosons, which can be realized in experiments with dilute gases. We reviewed the relevant ingredients leading to crystallization, namely the interplay of contact and dipole–dipole interactions and system density, as well as the numerical algorithm employed. We characterized the many-body phases investigating correlations and superfluidity.


Author(s):  
Ioannis Katerelos ◽  
Charalambos Tsekeris

We live in a ceaselessly changing and inescapably dynamic social world. Given the inherent unpredictability of human complex systems, this brief article seeks to show that agent-based social simulations can possibly approach the ideal of a fundamental law of social dynamics, including all forms or processes of social dynamics, articulated with everyday life and action, individual or collective. This ultimately tends to recover the explanatory potential of social networks and offer an efficient research basis for the creative re-conceptualization of social dynamics.


Author(s):  
Ioannis Katerelos ◽  
Charalambos Tsekeris

We live in a ceaselessly changing and inescapably dynamic social world. Given the inherent unpredictability of human complex systems, this brief article seeks to show that agent-based social simulations can possibly approach the ideal of a fundamental law of social dynamics, including all forms or processes of social dynamics, articulated with everyday life and action, individual or collective. This ultimately tends to recover the explanatory potential of social networks and offer an efficient research basis for the creative re-conceptualization of social dynamics.


2016 ◽  
Vol 18 (10) ◽  
pp. 7318-7333 ◽  
Author(s):  
Hiroshi C. Watanabe ◽  
Misa Banno ◽  
Minoru Sakurai

Quantum effects in solute–solvent interactions, such as the many-body effect and the dipole-induced dipole, are known to be critical factors influencing the infrared spectra of species in the liquid phase.


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