The social dynamics of diverse and closed networks

2004 ◽  
Vol 23 (2) ◽  
pp. 111-122 ◽  
Author(s):  
Desmond Ng
Keyword(s):  
Social Capital ◽  
Theoretical Model ◽  
Network Performance ◽  
Social Dynamics ◽  
Complex Adaptive System ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Closed Networks ◽  
The Social ◽  
Simulation Results

Inherent to the dynamics of social networks is a paradoxical trade-off between closed networks that promote cooperation and efficiency and diverse networks that are flexible to new resources and ideas. Since actors cannot simultaneously maximize both facets of a network, this has created a sharp debate on the social capital performance of closed and diverse network relationships. Research on this social capital debate has often focused on these described network affects without explaining the origins and dynamics of network performance. This paper advances a cognitive diversity approach that is based upon the subjective and alert behaviors of Austrian entrepreneurs. These are key causal drivers to this paper's theoretical model of social dynamics and performance of closed and diverse networks. Such network behavior is subsequently modeled as a Complex Adaptive system. Using agent-based simulation, an agent-based model of entrepreneurship and social network dynamics is constructed to test the relationships described by the proposed theoretical model. The simulation results support the described hypothesized relationships. These findings also suggest the benefits of closed and diverse networks are logically distinct and, thus, should not be viewed as an either-or phenomenon. Agent-based simulation results show entrepreneurs can construct a balanced network of closed and diverse networks to optimize the benefits of both networks.

scholarly journals Application of Agent-based Modeling for Cultural Information-based Decisions Making

2020 ◽  
Vol 88 ◽  
pp. 8-28
Author(s):  
Rimvydas Laužikas ◽  
Darius Plikynas ◽  
Vytautas Dulskis ◽  
Leonidas Sakalauskas ◽  
Arūnas Miliauskas
Keyword(s):  
Social Capital ◽  
Simulation Model ◽  
Cultural Participation ◽  
Agent Based Simulation ◽  
Research Issues ◽  
Agent Based ◽  
Cultural Events ◽  
The Social ◽  
Cultural Processes ◽  
The Impact

The impact of cultural processes on personal and social changes is one of the important research issues not only in contemporary social sciences but also for simulation of future development scenarios and evidence-based policy decision making. In the context of the theoretical concept of cultural values, based on the system theory and theory of social capital, the impact of cultural events could be analyzed and simulated by focussing on the construction/deconstruction of social capital, which takes place throughout the actor’s cultural participation. The main goal of this research is the development of measuring metrics, and agent-based simulation model aimed at investigation of the social impact of cultural processes.  This paper provides new insights of modeling the social capital changes in a society and its groups, depending on cultural participation. The proposed measurement metrics provide the measurement facility of three key components: actors, cultural events and events flow and social capital. It provides the initial proof of concept simulation results, - simplified agent-based simulation model showcase. The NetLogo MAS platform is used as a simulation environment.  

Endogenous Uncertainty and the Dynamics of Constraints

2019 ◽  
pp. 246-260
Author(s):  
Paul Humphreys
Keyword(s):  
Utility Maximization ◽  
Social Dynamics ◽  
Fitness Landscape ◽  
Agent Based Model ◽  
Agent Based ◽  
Endogenous Uncertainty ◽  
The Commons ◽  
Simulation Results ◽  
Special Case

An agent- based model of social dynamics is introduced using a deformable fitness landscape, and it is shown that in certain clearly specifiable situations, strategies that are different from utility maximization outperform utility maximizers. Simulation results are presented and intuitive interpretations of the results provided. The situations considered occur when individuals' actions affect the outcomes for other agents and endogenous effects are dominant. The Tragedy of the Commons is merely a special case of this. Arguments are given that constraints are to be encouraged in some circumstances. The appropriate role of constraints in various types of society is assessed and their use justified in identifiable types of situations.

scholarly journals Towards Exploration of Social in Social Internet of Vehicles Using an Agent-Based Simulation

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Kashif Zia ◽  
Arshad Muhammad ◽  
Abbas Khalid ◽  
Ahmad Din ◽  
Alois Ferscha
Keyword(s):  
Context Awareness ◽  
Data Science ◽  
Social Ties ◽  
Social Aspects ◽  
Internet Of Vehicles ◽  
Agent Based ◽  
Smart Vehicles ◽  
The Social ◽  
Simulation Results ◽  
Data Constraints

Internet of Vehicles (IoV) is turning out to be one of the first impressive examples of Internet of Things (IoT). In IoV, the factors of connectivity and interaction/information dispersion are equally important as sensing/actuating, context-awareness, services provisioning, etc. However, most of the researches related to connectivity and interaction are constrained to physics of signaling and data science (semantics/contents), respectively. Very rapidly, the meanings of these factors are changing due to evolution of technologies from physical to social domain. For example, Social IoV (SIoV) is a term used to represent when vehicles build and manage their own social network. Hence, in addition to physical aspects, the social aspects of connectivity and information dispersion towards these systems of future should also be researched, a domain so far ignored in this particular context. In this paper, an agent-based model of information sharing (for context-based recommendations) of a hypothetical population of smart vehicles is presented. Some important hypotheses are tested under reasonable connectivity and data constraints. The simulation results reveal that closure of social ties and its timing impacts the dispersion of novel information (necessary for a recommender system) substantially. It is also observed that as the network evolves due to incremental interactions, the recommendations guaranteeing a fair distribution of vehicles across equally good competitors is not possible.

MODELING ENDOGENOUS RULE CHANGES IN AN INSTITUTIONAL CONTEXT: THE ADICO SEQUENCE

2008 ◽  
Vol 11 (02) ◽  
pp. 199-215 ◽  
Author(s):  
ALEX SMAJGL ◽  
LUIS R. IZQUIERDO ◽  
MARCO HUIGEN
Keyword(s):  
Social Group ◽  
Social Dynamics ◽  
Institutional Context ◽  
Agent Based Modeling ◽  
Institutional Framework ◽  
Agent Based ◽  
The Social ◽  
Rule Changes ◽  
Do So

Agent-based modeling is being increasingly used to simulate socio-techno-ecosystems that involve social dynamics. Humans face constraints that they sometimes wish to challenge, and when they do so, they often trigger changes at the scale of the social group too. Including such adaptation dynamics explicitly in our models would allow simulation of the endogenous emergence of rule changes. This paper discusses such an approach in an institutional framework and develops a sequence that allows modeling of endogenous rule changes. Parts of this sequence are implemented in a NetLogo KISS model to provide some illustrative results.

scholarly journals Special Issue on New Trends in Agent-Based Simulation

2011 ◽  
Vol 15 (2) ◽  
pp. 165-165
Author(s):  
Keiki Takadama ◽  
Kiyoshi Izumi
Keyword(s):  
Social Sciences ◽  
Social Science ◽  
Computer Science ◽  
Mutual Influence ◽  
Real Data ◽  
Special Issue ◽  
Learning Mechanisms ◽  
Agent Based Simulation ◽  
Agent Based ◽  
The Social

Agent-Based Simulation (ABS), an interdisciplinary area embracing both the computer science and the social science, has attracted much attention and aided the understanding of socially complex phenomena. A current important issue in this research area is how to improve ABS effectiveness and comprehension, which makes further mutual influence between the computer science and the social sciences indispensable - e.g., (1) agent modeling involving learning mechanisms in the computer science and (2) social dynamics analysis needed in the social science. Such integration of these two areas would help fulfill the great potential of ABS, first in solving complex engineering problems using agent-based technology and second in developing and testing new theories on socially complex systems. This special issue features ABS papers from both of these important areas exploring new trends in ABS. The 10 papers composing this special issue start with papers by Nobutada Fujii and Hiroyasu Inoue analyzing the relationship between the network structure and system dynamics. In these papers, an agent-based computational economics approach has been active in applying agent-based technologies to financial and economic systems. Papers by Biliana Alexandrova-Kabadjova, Isamu Okada, TomokoOhi, and Nariaki Nishino cover consumer and financial markets using agent-based models. They test economic theory and examine market phenomena for market design. Agent-based simulation is increasingly used in application fields in the social sciences. Papers by Kiyoshi Izumi, Hideki Fujii, Hiromitsu Hattori, and Shigeo Sagai propose solutions for actual social problems such as injury prevention, traffic, and electrical power. Models are created based on behavior data, and the integration of an agent-based model and real data is a hot topic in this area. As the beginning of these technical papers, this issue starts by a position paper to give an ABS overview for understanding important issues in ABS from an overall viewpoint and for understanding state-of-the-art ABS. The information presented is invaluable in helping readers grasp the important features of ABS.

scholarly journals Relief Aircraft Dispatch Strategies Based on Different Levels of Information Sharing Systems

Aerospace ◽  
2021 ◽  
Vol 8 (10) ◽  
pp. 306
Author(s):  
Qingqi Wang ◽  
Terumitsu Hirata
Keyword(s):  
Dynamic System ◽  
Information Sharing ◽  
Simulation Modeling ◽  
Disaster Relief ◽  
Primary Factor ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Simulation Results ◽  
Aircraft Pilots ◽  
Different Levels

In the wake of a disaster, relief activities are expected to start immediately. To determine a better approach in dispatchment and transportation during relief activities, the primary factor is the communication and information sharing between the various parties such as airports, relief shelters and aircraft pilots. However, the effect of the information-sharing systems on the efficiency of transportation is yet to be clarified, and the differences between transport methods under different information-sharing systems are not yet known. Therefore, in this paper, we proposed different dispatch strategies corresponding to different information sharing levels and utilized the agent-based simulation modeling dynamic system to compare the air relief efficiency of different dispatch strategies. The simulation results demonstrate that the efficiency of relief activities increases as the level of information sharing improves, and different dispatch strategies have an impact on the effect of relief activities.

The Effects of Different Interaction Protocols in Agent-Based Simulation of Social Activities

2012 ◽  
pp. 11-24
Author(s):  
Nicole Ronald ◽  
Theo Arentze ◽  
Harry Timmermans
Keyword(s):  
Decision Making ◽  
Decision Process ◽  
Social Activity ◽  
Travel Behaviour ◽  
Large Role ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Interaction Protocols ◽  
Modelling Techniques ◽  
Simulation Results

Decision making in models of activity and travel behaviour is usually individual-based and focuses on outcomes rather than the decision process. Using agent-based modelling techniques and incorporating interaction protocols into the model can assist in modelling decision-making in more detail. This paper describes an agent-based model of social activity generation and scheduling, in which utility-based agents interact with each other to schedule activities. Six different protocols are tested. The authors show that the model outcomes reflect minor changes in the protocol, while changing the order of the protocol leads to significantly different outcomes, hence the protocol plays a large role in the simulation results and should be studied in more detail.

Agent-Based Simulation of Cultural Events Impact on Social Capital Dynamics

2019 ◽  
pp. 1138-1154 ◽  
Author(s):  
Darius Plikynas ◽  
Rimvydas Laužikas ◽  
Leonidas Sakalauskas ◽  
Arūnas Miliauskas ◽  
Vytautas Dulskis
Keyword(s):  
Social Capital ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Cultural Events
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