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Network effects in online marketplaces: the case of Kiva

Mendelson Haim, Shen Yuanyuan

Annals of Computer Science and Information Systems

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2019

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Vol. 18

535--538

EN

Advanced information technologies have enabled the development of online marketplaces that connect businesses and people on a global scale. Much of the analysis of the adoption, growth and engagement on these marketplaces in the extant literature is based on the premise that they are characterized by network effects - a premise that has major implications for their deployment, implementation and management. In this paper we test this premise using data from Kiva, the world's largest online, peer-to-peer social lending marketplace. We find that while network effects are strong and significant during the early growth phase of the marketplace, they become weak or disappear once the marketplace stabilizes.

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Feasibility of FPGA to HPC computation migration of plasma impurities diagnostic algorithms

Linczuk P., Krawczyk R. D., Zabolotny W., Wojenski A., Kolasinski P., Pozniak K. T., Kasprowicz G., Chernyshova M., Czarski T.

International Journal of Electronics and Telecommunications

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2017

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Vol. 63, No. 3

323--328

EN

We present a feasibility study of fast events parameters estimation algorithms regarding their execution time. It is the first stage of procedure used on data gathered from gas electron multiplier (GEM) detector for diagnostic of plasma impurities. Measured execution times are estimates of achievable times for future and more complex algorithms. The work covers usage of Intel Xeon and Intel Xeon Phi - high-performance computing (HPC) devices as a possible replacement for FPGA with highlighted advantages and disadvantages. Results show that less than 10 ms feedback loop can be obtained with the usage of 25% hardware resources in Intel Xeon or 10% resources in Intel Xeon Phi which leaves space for future increase of algorithms complexity. Moreover, this work contains a simplified overview of basic problems in actual measurement systems for diagnostic of plasma impurities, and emerging trends in developed solutions.

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A correction in feedback loop applied to two-axis gimbal stabilization

Wrońska-Zych A., Dudczyk J., Kawalec A.

Bulletin of the Polish Academy of Sciences. Technical Sciences

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2015

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Vol. 63, nr 1

217–-219

EN

A two-axis gimbal system can be used for stabilizing platform equipped with observation system like cameras or different measurement units. The most important advantageous of using a gimbal stabilization is a possibility to provide not disturbed information or data from a measurement unit. This disturbance can proceed from external working conditions. The described stabilization algorithm of a gimbal system bases on a regulator with a feedback loop. Steering parameters are calculated from quaternion transformation angular velocities received from gyroscopes. This data are fed into the input of Proportional Integral Derivative (PID) controller. Their input signal is compared with earned value in the feedback loop. The paper presents the way of increasing the position’s accuracy by getting it in the feedback loop. The data fusion from a positioning sensor and a gyroscope results in much better accuracy of stabilization.

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A Boolean Approach for Disentangling the Roles of Submodules to the Global Properties of a Biomodel

Czeizler E., Mizera A., Petre I.

Fundamenta Informaticae

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2012

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Vol. 116, nr 1-4

51-63

EN

To disentangle the numerical contribution of modules to the system-level behavior of a given biomodel, one often considers knock-out mutant models, investigating the change in the model behavior when modules are systematically included and excluded from the model architecture in all possible ways. We propose in this paper a Boolean approach for extracting conclusions about the role of each module from the systematic comparison of the numerical behavior of all knock-out mutants. We associate a Boolean variable to each module, expressing when the module is included in the architecture and when it is not. We can then express the satisfiability of system-level properties of the full model, such as efficiency, or economical use of resources, in terms of a Boolean formula expressing in a compact way which model architectures, i.e., which combinations of modules, give rise to the desired property. We demonstrate this method on a recently proposed computational model for the heat shock response in eukaryotes. We describe the contribution of each of its three feedback loops towards achieving an economical and effective heat shock response.