Study on the influence of the cooperation network based on the PageRank algorithm

2015 ◽  
pp. 585-590
Keyword(s):  
Pagerank Algorithm ◽  
Cooperation Network

Improvement of PageRank algorithm by ant colony algorithm

2009 ◽  
Vol 29 (10) ◽  
pp. 2726-2728
Author(s):  
Yue-wei DING ◽  
Hui GUO
Keyword(s):  
Ant Colony Algorithm ◽  
Ant Colony ◽  
Pagerank Algorithm

Key phrase Extraction by Improving TextRank with an Integration of Word Embedding and Syntactic Information

2020 ◽  
Vol 13 ◽  
Author(s):  
Sheng Zhang ◽  
Qi Luo ◽  
Yukun Feng ◽  
Ke Ding ◽  
Daniela Gifu ◽  
...  
Keyword(s):  
Semantic Information ◽  
Performance Enhancement ◽  
Word Embedding ◽  
The Other ◽  
Test Set ◽  
Pagerank Algorithm ◽  
Phrase Extraction ◽  
Extraction Algorithm ◽  
Syntactic Information ◽  
Key Phrase Extraction

Background: As a known key phrase extraction algorithm, TextRank is an analogue of PageRank algorithm, which relied heavily on the statistics of term frequency in the manner of co-occurrence analysis. Objective: The frequency-based characteristic made it a neck-bottle for performance enhancement, and various improved TextRank algorithms were proposed in the recent years. Most of improvements incorporated semantic information into key phrase extraction algorithm and achieved improvement. Method: In this research, taking both syntactic and semantic information into consideration, we integrated syntactic tree algorithm and word embedding and put forward an algorithm of Word Embedding and Syntactic Information Algorithm (WESIA), which improved the accuracy of the TextRank algorithm. Results: By applying our method on a self-made test set and a public test set, the result implied that the proposed unsupervised key phrase extraction algorithm outperformed the other algorithms to some extent.

scholarly journals PageRank Implemented with the MPI Paradigm Running on a Many-Core Neuromorphic Platform

2021 ◽  
Vol 11 (2) ◽  
pp. 25
Author(s):  
Evelina Forno ◽  
Alessandro Salvato ◽  
Enrico Macii ◽  
Gianvito Urgese
Keyword(s):  
Parallel Execution ◽  
Spiking Neural Networks ◽  
Massively Parallel ◽  
Current Version ◽  
Hardware Platform ◽  
Pagerank Algorithm ◽  
Programming Paradigm ◽  
Neuromorphic Hardware ◽  
Efficient Communication ◽  
Many Core

SpiNNaker is a neuromorphic hardware platform, especially designed for the simulation of Spiking Neural Networks (SNNs). To this end, the platform features massively parallel computation and an efficient communication infrastructure based on the transmission of small packets. The effectiveness of SpiNNaker in the parallel execution of the PageRank (PR) algorithm has been tested by the realization of a custom SNN implementation. In this work, we propose a PageRank implementation fully realized with the MPI programming paradigm ported to the SpiNNaker platform. We compare the scalability of the proposed program with the equivalent SNN implementation, and we leverage the characteristics of the PageRank algorithm to benchmark our implementation of MPI on SpiNNaker when faced with massive communication requirements. Experimental results show that the algorithm exhibits favorable scaling for a mid-sized execution context, while highlighting that the performance of MPI-PageRank on SpiNNaker is bounded by memory size and speed limitations on the current version of the hardware.

scholarly journals Social Sensing of the Imbalance of Urban and Regional Development in China Through the Population Migration Network around Spring Festival

2020 ◽  
Vol 12 (8) ◽  
pp. 3457 ◽  
Author(s):  
Ruoxin Zhu ◽  
Diao Lin ◽  
Yujing Wang ◽  
Michael Jendryke ◽  
Rui Xin ◽  
...  
Keyword(s):  
Urban Development ◽  
Regional Development ◽  
Analytical Framework ◽  
Pagerank Algorithm ◽  
Rich Club ◽  
Importance Index ◽  
Spring Festival ◽  
Spatiotemporal Behavior ◽  
Urban And Regional Development ◽  
Reform And Opening Up

Regional development differences are a universal problem in the economic development process of countries around the world. In recent decades, China has experienced rapid urban development since the implementation of the reform and opening-up policy. However, development differs across regions, triggering the migration of laborers from underdeveloped areas to developed areas. The interaction between regional development differences and Spring Festival has formed the world’s largest cyclical migration phenomenon, Spring Festival travel. Studying the migration pattern from public spatiotemporal behavior can contribute to understanding the differences in regional development. This paper proposes a geospatial network analytical framework to quantitatively characterize the imbalance of urban/regional development based on Spring Festival travel from the perspectives of complex network science and geospatial science. Firstly, the urban development difference is explored based on the intercity population flow difference ratio, PageRank algorithm, and attractiveness index. Secondly, the community detection method and rich-club coefficient are applied to further observe the spatial interactions between cities. Finally, the regional importance index and attractiveness index are used to reveal the regional development imbalance. The methods and findings can be used for urban planning, poverty alleviation, and population studies.

scholarly journals How Does Inter-Organizational Cooperation Impact Organizations’ Scientific Knowledge Generation? Evidence from the Biomass Energy Field

2020 ◽  
Vol 13 (1) ◽  
pp. 191
Author(s):  
Liu Li ◽  
Chaoying Tang
Keyword(s):  
Scientific Knowledge ◽  
Biomass Energy ◽  
Knowledge Generation ◽  
Degree Centrality ◽  
Technical Knowledge ◽  
Technical Cooperation ◽  
Scientific Cooperation ◽  
Structural Holes ◽  
Cooperation Network ◽  
Positive Effect

Previous studies have demonstrated that accessing external knowledge is important for organizations’ knowledge generation. The main purpose of this study is to investigate how the diversity and amount of organizations’ external scientific knowledge influence their scientific knowledge generation. We also consider the moderating effect of the redundant industrial scientific knowledge and the amount of technical knowledge from external technical cooperators. The social network analysis method is used to establish both ego- and industrial-scientific cooperation network, and ego-technical cooperation network in order to analyze the external scientific knowledge and technical knowledge. The empirical analysis is based on patent and article data of 106 organizations in the biomass energy industry (including firms, universities and research institutes), and the results show that organizations’ structural holes and degree centrality of scientific cooperation network have positive effects on their scientific knowledge generation. In addition, organizations’ degree centrality of technical cooperation network positively moderates the relationship between their degree centrality of scientific cooperation network and scientific knowledge generation. Furthermore, density of industrial scientific cooperation network decreases the positive effect of organizations’ structural holes on their scientific knowledge generation, while it strengthens the positive effect of degree centrality of scientific cooperation network on their scientific knowledge generation. Academic contributions and practical suggestions are discussed.

Analysis of the Effect of Covid-19 on the Floating Population of Seoul Using the PageRank Algorithm

2021 ◽  
Author(s):  
JinWoo Kim ◽  
HyoungSun Na ◽  
Hee-Gook Jun ◽  
Jinhyun Ahn ◽  
Daesung Jun ◽  
...  
Keyword(s):  
Floating Population ◽  
Pagerank Algorithm

scholarly journals How Intellectual Property Management Capability and Network Strategy Affect Open Technological Innovation in the Korean New Information Communications Technology Industry

2018 ◽  
Vol 10 (8) ◽  
pp. 2600 ◽  
Author(s):  
So Kim ◽  
Eungdo Kim
Keyword(s):  
Intellectual Property ◽  
Technological Innovation ◽  
Open Innovation ◽  
Communications Technology ◽  
Management Capability ◽  
New Information ◽  
Cooperation Network ◽  
Ict Industry ◽  
The Impact ◽  
Ip Management

This paper analyses factors in open innovation activity in the Korean new information and communications technology (ICT) industry, with a focus on cooperation network strategy and intellectual property (IP) management capability, by applying multiple regression models with data collected from 300 companies within the industry. The results of this analysis suggested that the intensity and variation of a company’s technological cooperation with a new ICT company has a statistically meaningful impact on its innovation. In particular, the impact depended on the type of cooperation network. Though IP management capability was also shown to have an important influence on a new ICT company’s innovation, the impact of specific actions for IP management varied by the specific type of innovation results. This study suggests that new ICT companies need to construct technological innovation networks using multiple external sources and enhance their IP management capability in order to increase their technological innovation performance. The factors influencing technological innovation are elements of open innovation, indicating the open technological innovativeness of the new ICT Industry.

Sign in / Sign up

Export Citation Format

Share Document