Market Architecture: A Conceptual Framework and Real-World Systems

2013 ◽  
pp. 135-157
Author(s):  
Massimiliano Marzo
Keyword(s):  
Conceptual Framework ◽  
Real World ◽  
World Systems

Phenomenological Modelling

2018 ◽  
Author(s):  
Ray Huffaker ◽  
Marco Bittelli ◽  
Rodolfo Rosa
Keyword(s):  
Nonlinear Dynamics ◽  
Time Series ◽  
Real World ◽  
Biological Diversity ◽  
False Positives ◽  
World Systems ◽  
Economic Activities ◽  
Essential Services ◽  
Low Dimension ◽  
Convergent Cross Mapping

Detecting causal interactions among climatic, environmental, and human forces in complex biophysical systems is essential for understanding how these systems function and how public policies can be devised that protect the flow of essential services to biological diversity, agriculture, and other core economic activities. Convergent Cross Mapping (CCM) detects causal networks in real-world systems diagnosed with deterministic, low-dimension, and nonlinear dynamics. If CCM detects correspondence between phase spaces reconstructed from observed time series variables, then the variables are determined to causally interact in the same dynamic system. CCM can give false positives by misconstruing synchronized variables as causally interactive. Extended (delayed) CCM screens for false positives among synchronized variables.

scholarly journals Higher-order temporal network effects through triplet evolution

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Qing Yao ◽  
Bingsheng Chen ◽  
Tim S. Evans ◽  
Kim Christensen
Keyword(s):  
Real World ◽  
Link Prediction ◽  
Higher Order ◽  
Prediction Algorithm ◽  
Interaction Patterns ◽  
Temporal Networks ◽  
World Systems ◽  
Order Interaction ◽  
Space And Time ◽  
Pairwise Interactions

AbstractWe study the evolution of networks through ‘triplets’—three-node graphlets. We develop a method to compute a transition matrix to describe the evolution of triplets in temporal networks. To identify the importance of higher-order interactions in the evolution of networks, we compare both artificial and real-world data to a model based on pairwise interactions only. The significant differences between the computed matrix and the calculated matrix from the fitted parameters demonstrate that non-pairwise interactions exist for various real-world systems in space and time, such as our data sets. Furthermore, this also reveals that different patterns of higher-order interaction are involved in different real-world situations. To test our approach, we then use these transition matrices as the basis of a link prediction algorithm. We investigate our algorithm’s performance on four temporal networks, comparing our approach against ten other link prediction methods. Our results show that higher-order interactions in both space and time play a crucial role in the evolution of networks as we find our method, along with two other methods based on non-local interactions, give the best overall performance. The results also confirm the concept that the higher-order interaction patterns, i.e., triplet dynamics, can help us understand and predict the evolution of different real-world systems.

scholarly journals Asymmetry underlies stability in power grids

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Ferenc Molnar ◽  
Takashi Nishikawa ◽  
Adilson E. Motter
Keyword(s):  
Symmetry Breaking ◽  
Real World ◽  
Power Grids ◽  
Stable Operation ◽  
World Systems ◽  
Symmetric State ◽  
Network Systems ◽  
Additional Improvement ◽  
The Stability ◽  
General Method

AbstractBehavioral homogeneity is often critical for the functioning of network systems of interacting entities. In power grids, whose stable operation requires generator frequencies to be synchronized—and thus homogeneous—across the network, previous work suggests that the stability of synchronous states can be improved by making the generators homogeneous. Here, we show that a substantial additional improvement is possible by instead making the generators suitably heterogeneous. We develop a general method for attributing this counterintuitive effect to converse symmetry breaking, a recently established phenomenon in which the system must be asymmetric to maintain a stable symmetric state. These findings constitute the first demonstration of converse symmetry breaking in real-world systems, and our method promises to enable identification of this phenomenon in other networks whose functions rely on behavioral homogeneity.

“Is There Lead in My Water?”: Employing a Culturally Compelling Instructional Perspective to Teach for Change

2018 ◽  
Vol 14 (1) ◽  
Author(s):  
Fenice B. Boyd ◽  
Monica L. Ridgeway ◽  
Tiffany M. Nyachae
Keyword(s):  
Conceptual Framework ◽  
Real World ◽  
Instructional Practice ◽  
Instructional Delivery ◽  
Learning Opportunities ◽  
Content Area ◽  
Illustrative Case ◽  
Water Crisis ◽  
Alternative Learning ◽  
Instructional Perspective

AbstractIn this paper we build a conceptual framework to argue for culturally compelling instruction that leads to teaching for change. Culturally compelling instruction calls for a substantive shift in how teachers view their students, communities, and what the perspective might mean for students’ future when they have access to alternative learning opportunities. The framework encourages teachers to take a stance and assume responsibility and ownership for their own decisions about the curriculum and instructional delivery. Most prominent is to acquire a depth of understanding of their students’ identities and needs. To represent our vision for culturally compelling instruction we use the lead poisoned water crisis in Flint, Michigan, USA as an illustrative case. Our work provides an example of how a real-world circumstance such as Flint’s may be integrated into content area subjects to frame a culturally compelling instructional practice.

scholarly journals Modeling and simulation of economic processes

2010 ◽  
Author(s):  
Bogdan Brumar
Keyword(s):  
Decision Analysis ◽  
Modeling And Simulation ◽  
Real World ◽  
Analytical Methods ◽  
Simulation Experiment ◽  
Management Decision ◽  
Economic Systems ◽  
World Systems ◽  
Simulation Techniques ◽  
Laborious Work

In general, any activity requires a longer action often characterized by a degree of uncertainty, insecurity, in terms of size of the objective pursued. Because of the complexity of real economic systems, the stochastic dependencies between different variables and parameters considered, not all systems can be adequately represented by a model that can be solved by analytical methods and covering all issues for management decision analysis-economic horizon real. Often in such cases, it is considered that the simulation technique is the only alternative available. Using simulation techniques to study real-world systems often requires a laborious work. Making a simulation experiment is a process that takes place in several stages.

scholarly journals Identifying important nodes from content-associated heterogeneous graph by LeaderRank

2021 ◽  
Vol 2113 (1) ◽  
pp. 012082
Author(s):  
Yulong Dai ◽  
Qiyou Shen ◽  
Xiangqian Xu ◽  
Jun Yang
Keyword(s):  
Real World ◽  
Experimental Analysis ◽  
Differential Information ◽  
World Systems ◽  
Ranking Problem ◽  
Data Set ◽  
Importance Ranking ◽  
Basic Concepts ◽  
Important Nodes ◽  
Graph Nodes

Abstract Most real-world systems consist of a large number of interacting entities of many types. However, most of the current researches on systems are based on the assumption that the type of node or link in the network is unique. In other words, the network is homogeneous, containing the same type of nodes and links. Based on this assumption, differential information between nodes and edges is ignored. This paper firstly introduces the research background, challenges and significance of this research. Secondly, the basic concepts of the model are introduced. Thirdly, a novel type-sensitive LeaderRank algorithm is proposed and combined with distance rule to solve the importance ranking problem of content-associated heterogeneous graph nodes. Finally, the writer influence data set is used for experimental analysis to further prove the validity of the model.

Framework and Guidelines to Industry Web Portal Business

2019 ◽  
pp. 407-421 ◽  
Author(s):  
Duanning Zhou ◽  
Arsen Djatej ◽  
Robert Sarikas ◽  
David Senteney
Keyword(s):  
Conceptual Framework ◽  
Real World ◽  
Development Stage ◽  
Lessons Learned ◽  
The Internet ◽  
Web Portals ◽  
Web Portal ◽  
Website Development ◽  
Internet Business ◽  
Business Practitioners

This chapter discusses a growth framework for industry web portals which present a new opportunity in the internet business. The framework contains five stages: business plan stage, website development stage, attraction stage, entrenchment stage, and defense stage. The actions to be taken and strategies to be applied in each stage are set out. Two industry web portals are investigated in detail. The two examples illustrate the applicability of the proposed growth framework to the real world. The combination of a conceptual growth framework and the application of this conceptual framework to two real-world examples yields a set of guidelines based in large part on lessons learned from the two examples. Thus, this chapter provides a concept-based growth framework and a set of real-world-based guidelines that will very possibly provide a practical benefit to industry web portal business practitioners.

Supporting Community Engagement Through Real-World Instructional Learning

2021 ◽  
pp. 415-431
Author(s):  
Caroline M. Crawford ◽  
Janice Moore Newsum ◽  
Sharon Andrews White ◽  
Jennifer Young Wallace
Keyword(s):  
Conceptual Framework ◽  
Community Engagement ◽  
Lifelong Learning ◽  
Real World ◽  
Higher Order ◽  
Instructional Process ◽  
Community Environment ◽  
New Information ◽  
Instructional Environments ◽  
Competency Based

The ability to attain knowledge for implementation within real-world environments is a shift in understanding within many instructional environments. Shifting from competency-based understandings wherein a knowledge base is attained as well as implemented towards a capability-based understanding that emphasizes the conceptual framework of information shift towards higher order knowledge creation within novel situations and environments is essential. Lifelong learning within nuanced understandings of new situations and new experiences is essential. Normally, these novel situations and experiences occur within a real-world community environment wherein the learner is critically analyzing new information and opinions from innumerable engaged people within the community. This style of learning is vital to understand within a competency-based learning environment, as well. Therefore, real-world instructional learning embeds the supporting community engagement at distinctly appropriate and impactful points throughout the instructional process, resulting in outstanding conceptual frameworks with the continuous understanding around cognitive engagement.

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