A  B  C  D  E  F  G  H  I  J  K  L  M  N  O  P  Q  R  S  T  U  V  W  X  Y  Z  

  Subjects -> STATISTICS (Total: 130 journals)
The end of the list has been reached or no journals were found for your choice.
Similar Journals
Journal Cover
Advances in Complex Systems
Journal Prestige (SJR): 0.25
Citation Impact (citeScore): 1
Number of Followers: 10  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0219-5259 - ISSN (Online) 1793-6802
Published by World Scientific Homepage  [121 journals]
  • AUTHOR INDEX (2022)

    • Free pre-print version: Loading...

      Abstract: Advances in Complex Systems, Volume 25, Issue 08, December 2022.

      Citation: Advances in Complex Systems
      PubDate: 2023-03-03T08:00:00Z
      DOI: 10.1142/S0219525922990016
      Issue No: Vol. 25, No. 08 (2023)
       
  • MODELING SOCIAL RESILIENCE: QUESTIONS, ANSWERS, OPEN PROBLEMS

    • Free pre-print version: Loading...

      Authors: FRANK SCHWEITZER, GEORGES ANDRES, GIONA CASIRAGHI, CHRISTOPH GOTE, RAMONA ROLLER, INGO SCHOLTES, GIACOMO VACCARIO, CHRISTIAN ZINGG
      Abstract: Advances in Complex Systems, Ahead of Print.
      Resilience denotes the capacity of a system to withstand shocks and its ability to recover from them. We develop a framework to quantify the resilience of highly volatile, non-equilibrium social organizations, such as collectives or collaborating teams. It consists of four steps: (i) delimitation, i.e. narrowing down the target systems, (ii) conceptualization, i.e. identifying how to approach social organizations, (iii) formal representation using a combination of agent-based and network models, (iv) operationalization, i.e. specifying measures and demonstrating how they enter the calculation of resilience. Our framework quantifies two dimensions of resilience, the robustness of social organizations and their adaptivity, and combines them in a novel resilience measure. It allows monitoring resilience instantaneously using longitudinal data instead of an ex-post evaluation.
      Citation: Advances in Complex Systems
      PubDate: 2023-02-25T08:00:00Z
      DOI: 10.1142/S021952592250014X
       
  • Clouds in the Basins of Fully Asynchronous Cellular Automata

    • Free pre-print version: Loading...

      Authors: SOUVIK ROY, SUKANTA DAS
      Abstract: Advances in Complex Systems, Ahead of Print.
      This paper studies the basins of attraction of fully asynchronous cellular automata (ACAs) that converge to point attractor. Unlike traditional (synchronous) cellular automata (CAs), an ACA may approach to different point attractors from the same initial condition for different runs. In this direction, this paper introduces the notion of cloud behavior in convergence dynamics of ACAs. Depending on the cloud behavior, we classify the convergent ACAs into three classes—eccentric cloud, partially eccentric cloud and deterministic cloud system. In addition, this study observes the computational ability of addressing density classification problem (i.e. distributed consensus problem) of this asynchronous cloud system.
      Citation: Advances in Complex Systems
      PubDate: 2023-02-09T08:00:00Z
      DOI: 10.1142/S0219525922500138
       
  • WHEN INTUITION FAILS: THE COMPLEX EFFECTS OF ASSIMILATIVE AND REPULSIVE
           INFLUENCE ON OPINION POLARIZATION

    • Free pre-print version: Loading...

      Authors: SHUO LIU, MICHAEL MÄS, HAOXIANG XIA, ANDREAS FLACHE
      Abstract: Advances in Complex Systems, Ahead of Print.
      There is a public and scholarly debate about whether personalized services of social-media platforms contribute to the rise of bipolarization of political opinions. On the one hand, it is argued that personalized services of online social networks generate filter bubbles limiting contact between users who disagree. This reduces opportunities for assimilative social influence between users from different camps and prevents opinion convergence. On the other hand, empirical research also indicated that exposing users to content from the opposite political spectrum can activate the counter-part of assimilative influence, repulsive influence. Fostering contact that leads to opinion assimilation and limiting contacts likely to induce repulsive interactions, it has been concluded, may therefore prevent bipolarization. With an agent-based model, we demonstrate here that these conclusions fail to capture the complexity that assimilative and repulsive influence generate in social networks. Sometimes, more assimilative influence can actually lead to more and not less opinion bipolarization. Likewise, increasing the exposure of users to like-minded individuals sometimes intensifies opinion polarization. While emerging only in specific parts of the parameter space, these counter-intuitive dynamics are robust, as our simulation experiments demonstrate. We discuss implications for the debate about filter bubbles and approaches to improve the design of online social networks. While we applaud the growing empirical research on the micro-processes of assimilative and repulsive influence in online settings, we warn that drawing conclusions about resulting macro-outcomes like opinion bipolarization requires a rigorous analysis capturing the complexity of online communication systems. Intuition alone is error-prone in this context. Accordingly, models capturing the complexity of social influence in networks should play a more important role in the design of communication systems.
      Citation: Advances in Complex Systems
      PubDate: 2023-01-28T08:00:00Z
      DOI: 10.1142/S0219525922500114
       
 
JournalTOCs
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Email: journaltocs@hw.ac.uk
Tel: +00 44 (0)131 4513762
 


Your IP address: 44.200.171.156
 
Home (Search)
API
About JournalTOCs
News (blog, publications)
JournalTOCs on Twitter   JournalTOCs on Facebook

JournalTOCs © 2009-