Understanding the Role of Technical Features and Network Effects in Explaining Microblogging Acceptance

2012 ◽  
Author(s):  
Tao Wang ◽  
Bin Fu ◽  
Minghui Kang ◽  
Han Zhang
Keyword(s):  
Network Effects ◽  
Technical Features

scholarly journals Global dynamics of international migration systems across South–South, North–North, and North–South flows, 1990–2015

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Diego F. Leal ◽  
Nicolas L. Harder
Keyword(s):  
International Migration ◽  
Network Effects ◽  
Global Dynamics ◽  
Core Set ◽  
Migration Dynamics ◽  
Key Drivers ◽  
Migration Flows ◽  
And Migration ◽  
Migration Systems

AbstractEvidence from 184 countries over the span of 25 years is gathered and analyzed to understand North–North, South–South, and North–South international migration flows. Conceptually, the analysis borrows from network theory and Migration Systems Theory (MST) to develop a model to characterize the structure and evolution of international migration flows. Methodologically, the Stochastic Actor-oriented Model of network dynamics is used to jointly model the three types of flows under analysis. Results show that endogenous network effects at the monadic, dyadic, and triadic levels of analysis are relevant to understand the emergence and evolution of migration flows. The findings also show that a core set of non-network covariates, suggested by MST as key drivers of migration flows, does not always explain migration dynamics in the systems under analysis in a consistent fashion; thus, suggesting the existence of important levels of heterogeneity inherent to these three types of flows. Finally, evidence related to the role of political instability and countries’ care deficits is also discussed as part of the analysis. Overall, the results highlight the importance of analyzing flows across the globe beyond typically studied migratory corridors (e.g., North–South flows) or regions (e.g., Europe).

scholarly journals Network Effects on the Robustness of Dynamic Systems

2020 ◽  
Vol 3 (1) ◽  
pp. 115-149
Author(s):  
Ketan Savla ◽  
Jeff S. Shamma ◽  
Munther A. Dahleh
Keyword(s):  
Network Flow ◽  
Network Effects ◽  
Cascading Failure ◽  
Economic Networks ◽  
Worst Case ◽  
Linear Dynamics ◽  
Physical Constraints ◽  
Small Gain ◽  
Network Properties

We review selected results related to the robustness of networked systems in finite and asymptotically large size regimes in static and dynamical settings. In the static setting, within the framework of flow over finite networks, we discuss the effect of physical constraints on robustness to loss in link capacities. In the dynamical setting, we review several settings in which small-gain-type analysis provides tight robustness guarantees for linear dynamics over finite networks toward worst-case and stochastic disturbances. We discuss network flow dynamic settings where nonlinear techniques facilitate understanding the effect, on robustness, of constraints on capacity and information, substituting information with control action, and cascading failure. We also contrast cascading failure with a representative contagion model. For asymptotically large networks, we discuss the role of network properties in connecting microscopic shocks to emergent macroscopic fluctuations under linear dynamics as well as for economic networks at equilibrium. Through this review, we aim to achieve two objectives: to highlight selected settings in which the role of the interconnectivity structure of a network in its robustness is well understood, and to highlight a few additional settings in which existing system-theoretic tools give tight robustness guarantees and that are also appropriate avenues for future network-theoretic investigations.

Multiple Firing Patterns in Deep Dorsal Horn Neurons of the Spinal Cord: Computational Analysis of Mechanisms and Functional Implications

2010 ◽  
Vol 104 (4) ◽  
pp. 1978-1996 ◽  
Author(s):  
Yann Le Franc ◽  
Gwendal Le Masson
Keyword(s):  
Spinal Cord ◽  
Dorsal Horn ◽  
Information Transfer ◽  
Network Effects ◽  
Neuronal Response ◽  
Sensory Information ◽  
Firing Patterns ◽  
Dorsal Horn Neurons ◽  
The Impact

Deep dorsal horn relay neurons (dDHNs) of the spinal cord are known to exhibit multiple firing patterns under the control of local metabotropic neuromodulation: tonic firing, plateau potential, and spontaneous oscillations. This work investigates the role of interactions between voltage-gated channels and the occurrence of different firing patterns and then correlates these two phenomena with their functional role in sensory information processing. We designed a conductance-based model using the NEURON software package, which successfully reproduced the classical features of plateau in dDHNs, including a wind-up of the neuronal response after repetitive stimulation. This modeling approach allowed us to systematically test the impact of conductance interactions on the firing patterns. We found that the expression of multiple firing patterns can be reproduced by changes in the balance between two currents (L-type calcium and potassium inward rectifier conductances). By investigating a possible generalization of the firing state switch, we found that the switch can also occur by varying the balance of any hyperpolarizing and depolarizing conductances. This result extends the control of the firing switch to neuromodulators or to network effects such as synaptic inhibition. We observed that the switch between the different firing patterns occurs as a continuous function in the model, revealing a particular intermediate state called the accelerating mode. To characterize the functional effect of a firing switch on information transfer, we used correlation analysis between a model of peripheral nociceptive afference and the dDHN model. The simulation results indicate that the accelerating mode was the optimal firing state for information transfer.

The Application of Frequency Converter Energy-Saving Technology for Air Compressor in Intelligent Industrial Park

2014 ◽  
Vol 1008-1009 ◽  
pp. 1195-1198
Author(s):  
Qian Sun ◽  
Ning Xi Song ◽  
Qian Wang ◽  
Shang Ji Chen ◽  
Da Peng Wang
Keyword(s):  
Energy Saving ◽  
Frequency Converter ◽  
Technical Innovation ◽  
Industrial Park ◽  
Air Compressor ◽  
Working Principle ◽  
Energy Saving Technology ◽  
Technical Features

An application of an energy saving device for air compressor in intelligent industrial park is introduced in this paper. The program of air compressor energy saving system, working principle, and technical features are described in details. Actual running result shows that the air compressor device can greatly improve the power quality of enterprise, enhance the power factor. This device plays a role of energy saver in manufacturing process, indicates the direction of technical innovation in intelligent power for industrial park, and provides reliable technical support.

scholarly journals Artificial Counselor System for Stock Investment

2019 ◽  
Vol 33 ◽  
pp. 9558-9564 ◽  
Author(s):  
Hadi NekoeiQachkanloo ◽  
Benyamin Ghojogh ◽  
Ali Saheb Pasand ◽  
Mark Crowley
Keyword(s):  
New York ◽  
Stock Exchange ◽  
Risk Tolerance ◽  
Support Vector ◽  
New York Stock Exchange ◽  
Stock Investment ◽  
York Stock Exchange ◽  
Markowitz Portfolio ◽  
Technical Features

This paper proposes a novel trading system which plays the role of an artificial counselor for stock investment. In this paper, the stock future prices (technical features) are predicted using Support Vector Regression. Thereafter, the predicted prices are used to recommend which portions of the budget an investor should invest in different existing stocks to have an optimum expected profit considering their level of risk tolerance. Two different methods are used for suggesting best portions, which are Markowitz portfolio theory and fuzzy investment counselor. The first approach is an optimization-based method which considers merely technical features, while the second approach is based on Fuzzy Logic taking into account both technical and fundamental features of the stock market. The experimental results on New York Stock Exchange (NYSE) show the effectiveness of the proposed system.

Role of virtual avatars in digitalized hotel service

2020 ◽  
Vol 32 (3) ◽  
pp. 977-997 ◽  
Author(s):  
Youngjoon Choi ◽  
Fuad Mehraliyev ◽  
Seongseop (Sam) Kim
Keyword(s):  
Visual Cues ◽  
Positive Influence ◽  
Social Position ◽  
Intention To Use ◽  
Significant Interaction Effect ◽  
Content Type ◽  
Psychological Mechanism ◽  
And Gender ◽  
Technical Features

Purpose This study aim to attempt to conceptualize agency in a hospitality setting and examine the psychological effects of agency-related visual cues on user perception and intention to use to understand the role of agency in the digitalization of hotel services. Design/methodology/approach After developing demo videos of an express check-out application, two experiments were conducted to examine the effects of using an avatar and explain the psychological mechanism of how attributes of an avatar increase intention to use. Findings Study 1 found that the presence of an avatar had a positive influence on intention to use. Study 2 retested the findings of Study 1 and illustrated the psychological mechanism of how two attributes of an avatar (social position and gender) influenced perceived expertise and intention to use. A significant interaction effect between social position and gender was found on perceived expertise. Perceived expertise also mediated the effect of an avatar on intention to use in the male avatar conditions. Originality/value As the first attempt to investigate the role of avatars in human–computer interaction in a hotel setting, this study will serve as an example in testing the effects of agency-related technical features on user experience and behavioral intention, possibly broadening the current research scope of hospitality and tourism. This study also provides a useful guideline to develop and design a successful interface of digitalized hotel services.

scholarly journals The Role of Artificial Intelligence and Data Network Effects for Creating User Value

2020 ◽  
Author(s):  
Robert Wayne Gregory ◽  
Ola Henfridsson ◽  
Evgeny Kaganer ◽  
Harris Kyriakou
Keyword(s):  
Artificial Intelligence ◽  
Network Effects ◽  
Data Network ◽  
User Value

scholarly journals On the role of consumer expectations in markets with network effects

2011 ◽  
Vol 105 (2) ◽  
pp. 101-127 ◽  
Author(s):  
Irina Suleymanova ◽  
Christian Wey
Keyword(s):  
Network Effects ◽  
Consumer Expectations

Promoting Regional Economic Growth in Greece by Investing in Public Infrastructure

10.1068/c9761 ◽  
2002 ◽  
Vol 20 (3) ◽  
pp. 393-419 ◽  
Author(s):  
Antonis Rovolis ◽  
Nigel Spence
Keyword(s):  
Network Effects ◽  
Development Process ◽  
Regional Scale ◽  
Private Investment ◽  
Public Capital ◽  
Positive Contribution ◽  
Social Infrastructure ◽  
Public Infrastructure ◽  
The Impact

The role of public infrastructure capital in the development process, either at national or at regional levels, was a relatively neglected area of research until recently. The innovatory work of Aschauer, and the ensuing debate between himself, Munnell, and Holtz-Eakin regarding the role of infrastructure in the development process in the USA, has spawned much interest in the issue. The authors aim to assess the impact of public capital on Greek manufacturing industries, especially focused at the regional scale. Capital stocks were estimated for the private and public sectors and Cobb—Douglas production functions were used in the analytical framework. The results suggest that the role of private capital in economic development in recent times has been marginal, as private investment has declined, whereas the role of labour and public capital has been both positive and significant. The authors segregate public capital into ‘productive’ and ‘social’ infrastructure; they argue that when productive infrastructure makes a positive contribution to production output, the impact of social infrastructure is insignificant and/or negative in most cases. The network effects of infrastructure are also estimated.

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