scholarly journals Where's My Parking Lot?

2018 ◽  
pp. 28-32
Author(s):  
Greg Young
Keyword(s):  
Network Analysis ◽  
Spatial Information ◽  
Data Network ◽  
Web Technologies ◽  
Parking Spot ◽  
Gis Data ◽  
The World ◽  
Parking Lot ◽  
Mobile Maps ◽  
Unique Application

In this issue of GIS Trends we redefine how libraries can provide spatial information and plunge into the world of mobile maps. To help solve the problem of parking lot overcrowding, we learn how one library has used GIS data, network analysis and modern web technologies to create a unique application designed to connect drivers with the parking spot that is right for them.

Mapping the Topics and Evolutions of Chinese Children’s Bestsellers

Libri ◽  
2020 ◽  
Vol 70 (4) ◽  
pp. 305-317
Author(s):  
Jiming Hu ◽  
Xiang Zheng ◽  
Peng Wen ◽  
Jie Xu
Keyword(s):  
Social Network ◽  
Quantitative Analysis ◽  
Network Analysis ◽  
Intellectual Structure ◽  
Structure Evolution ◽  
Children's Books ◽  
Children’S Books ◽  
Correlation Structures ◽  
The World ◽  
Data Source

AbstractChildren’s books involve a large number of topics. Research on them has been paid much attention to by both scholars and practitioners. However, the existing achievements do not focus on China, which is the fastest growing market for children’s books in the world. Studies using quantitative analysis are low in number, especially on the intellectual structure, evolution patterns, and development trends of topics of children’s bestsellers in China. Dangdang.com, the biggest Chinese online bookstore, was chosen as a data source to obtain children’s bestsellers, and topic words in them were extracted from brief introductions. With the aid of co-occurrence theory and tools of social network analysis and visualization, the distribution, correlation structures, and evolution patterns of topics were revealed and visualized. This study shows that topics of Chinese children’s bestsellers are broad and relatively concentrated, but their distribution is unbalanced. There are four distinguished topic communities (Living, Animal, World, and Child) in terms of centrality and maturity, and they all establish their individual systems and tend to be mature. The evolution of these communities tends to be stable with powerful continuity.

scholarly journals Study on the Behaviors of Inbound Tourists based on Geotagged Photo Metadata – A Case of the City Group in the Upper Reach of the Yellow River in China

2019 ◽  
Vol 1 ◽  
pp. 1-2
Author(s):  
Ruru Shen ◽  
Haowen Yan ◽  
Qinke Sun ◽  
Xiaojun Li
Keyword(s):  
Network Analysis ◽  
Spatial Information ◽  
Yellow River ◽  
Tourism Industry ◽  
Qinghai Lake ◽  
The Yellow River ◽  
Single Node ◽  
Area Of Interest ◽  
Spatial Attributes ◽  
Geotagged Photos

<p><strong>Abstract.</strong> The spatial distribution of geotagged photos is a projection of the tourist's tourism activities in the geospatial space, which contains spatial attributes and interrelationships of tourists’ activities. Using the Flickr photo sharing website, the paper utilizes new data mining technologies to discover and capture the metadata of geotagged photos uploaded by visitors from January 2008 to October 2018 in the upper reach of the Yellow River in China. The spatial information processing and expression of the collected data are processed and the characteristics of the inbound tourists’ behavior are explored by the P-DBSCAN, the path tracking technology and the UCINET network analysis. The main results are as follows: (1) By using the P-DBSCAN cluster analysis, the area of interest (AOI) has a feature of high agglomeration and forms a “V” shaped in the Xining-Lanzhou-Yinchuan area. The concentration of AOIs is closely related to the urban functional area and has a clear Urban functional orientation. (2) Using tracking analysis, the paper reveals single node trajectory, intraregional path trajectory and interregional path trajectory. Among them, 68.42% visitors chose single node trajectory, 9.78% visitors chose intraregional path trajectory and 21.80% tourists chose interregional path trajectory. (3) Ten cross-regional tourism mainstream lines are picked by the UCINET network analysis mode. It has been found that the tourists tend to visit those famous scenic spots (points) such as the Qinghai Lake, the YaDan Geological Park, the ‘Danxia’ Landform, the Zhenbeibu China West Film Studio. It is apparent that the Gansu-Qinghai Great Circle Tour is a hot tourist route that tourists are keen to choose. The research results have certain reference significance for improving the transformation and upgrading of tourism industry in the upper reach of the Yellow River.</p>

scholarly journals An Exploratory Study on COVID-19 and the Rights of Children Based on Keyword Network Analysis

2021 ◽  
Author(s):  
Seoyeon Lee
Keyword(s):  
Network Analysis ◽  
Child Rearing ◽  
Current Status ◽  
Educational Institutions ◽  
Income Support ◽  
Online Classes ◽  
Health Crisis ◽  
The World ◽  
Entire Country ◽  
Keyword Network

Abstract COVID-19 has become a worldwide health crisis. Around March 2020, the entire country was shut down, including schools. This resulted in significant changes in the lives of children. In this study, the researcher conducted a keyword network analysis utilizing Ucinet ver 6.716 and NetDraw ver 2.173, after gathering the data using Textom in order to examine the current status of the rights of children in a COVID-19 pandemic. The findings of this study were that the degree centrality was higher with poverty, educational institutions, parents, teachers, income support, child care, child-rearing, caring, online classes, and child welfare, etc. Therefore, it can be said that there is an urgent need for the implementation of the respect of the rights of children all over the world in this COVID-19 pandemic.

scholarly journals Trajectory-based POI recommendations for mobile maps

2019 ◽  
Vol 1 ◽  
pp. 1-2
Author(s):  
Shane Loeffler
Keyword(s):  
Spatial Information ◽  
Direct Interaction ◽  
Relevant Information ◽  
Test Case ◽  
Point Of Interest ◽  
Predictive Software ◽  
Mobile Maps

<p><strong>Abstract.</strong> Providing mobile map users with relevant information about their surroundings based on their current trajectory is a necessary next step in providing them with the information they need or want without requiring direct interaction with the map, which can be dangerous or distracting, as well as time-consuming and annoying. Providing these recommendations requires integrating spatial information from the mobile device’s GPS chip with attributes about the underlying map and point of interest (POI) data, as well as the preferences and goals of the user. The Flyover Country app provides a relatively contained test case for the development of predictive software for recommending current and upcoming POIs during travel.</p>

scholarly journals Smart Parking with Fair Selection and Imposing Higher Privacy Constraints in Parking Owner and Driver Information

2021 ◽  
Vol 3 (1) ◽  
pp. 11-20
Author(s):  
Vivekanadam B
Keyword(s):  
Privacy Protection ◽  
High Efficiency ◽  
Bloom Filters ◽  
Willingness To Participate ◽  
Group Signatures ◽  
Parking Spot ◽  
Parking System ◽  
Parking Lot ◽  
Smart Parking ◽  
Privacy Constraints

The use of private cars has enhanced the comfort of travel of individuals, but has proven to be a challenge for parking in congested downtown areas and metropolitans. This hike in the vehicle count has led to difficulty among the drivers to find a parking spot, exploiting resources and time. On the other hand, there are many idle private parking spots that remain inaccessible because of multiple reasons like unavailable owners, different open timings and so on. In order to prevent parking issues as well as to enable the use of private parking spots, smart parking applications that are easy to use by the drivers will prove to be highly effective. However, most parking lot owners and drivers face the threat of privacy which affects their willingness to participate while many others are located in a centralized location where the presence of malicious users is in plenty. In this proposed work, we have introduced a smart-parking system that is based on blockchain exhibiting qualities of privacy protection, reliability and fairness. To protect the privacy of users, vector-based encryption, bloom filters and group signatures are also insisted. This has helped us establish a more reliable smart parking system coupled with fair operation for smart contact. Experimental analysis of the real-world dataset indicates that the proposed work operates with high efficiency, establishing privacy protection, reliability and fairness.

scholarly journals Analisis Akun Twitter Berpengaruh terkait Covid-19 menggunakan Social Network Analysis

2021 ◽  
Vol 5 (4) ◽  
pp. 697-704
Author(s):  
Aprillian Kartino ◽  
M. Khairul Anam ◽  
Rahmaddeni ◽  
Junadhi
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Information Dissemination ◽  
Interaction Network ◽  
Analysis Method ◽  
The Social ◽  
The World ◽  
High Degree

Covid-19 is a disease of the virus that is shaking the world and has been designated by WHO as a pandemic. This case of Covid-19 can be a place of dissemination of disinformation that can be utilized by some parties. The dissemination of information in this day and age has turned to the internet, namely social media, Twitter is one of the social media that is often used by Indonesians and the data can be analyzed. This study uses the social network analysis method, conducted to be able to find nodes that affect the ongoing interaction in the interaction network of information dissemination related to Covid-19 in Indonesia and see if the node is directly proportional to the value of its popularity. As well as to know in identifying the source of Covid-19 information, whether dominated by competent Twitter accounts in their fields. The data examined 19,939 nodes and 12,304 edges were taken from data provided by the web academic.droneemprit.id on the project "Analisis Opini Persebaran Virus Corona di Media Sosial", using the period of December 2019 to December 2020 on social media Twitter. The results showed that the @do_ra_dong account is an influential actor with the highest degree centrality of 860 and the @detikcom account is the actor with the highest popularity value of follower rank of 0.994741605. Thus actors who have a high degree of centrality value do not necessarily have a high follower rank value anyway. The study ignores if there are buzzer accounts on Twitter.  

scholarly journals Sistem Informasi Geografis Berbasis Web Digitasi Persil Bangunan

2015 ◽  
Vol 1 (1) ◽  
pp. 20-28
Author(s):  
Arief Susanto
Keyword(s):  
Information System ◽  
Spatial Data ◽  
Local Governments ◽  
Spatial Information ◽  
Geographic Information ◽  
Process Data ◽  
Desktop Application ◽  
Gis Data ◽  
Google Map Api ◽  
Advanced Development

Geographic Information Systems ( GIS abbreviated as Geographic Information System ) is a specialized information system that manages data having spatial information . Most to process data in the form of GIS data are still many who use desktop application or can only run on one computer while the more advanced development requires us to produce information more easily is to develop a GIS online ( via the Internet ) and can be accessed Anywhere You . This application is designed using DFD modeling and created using the programming language PHP with MySQL database as well as utilizing Google Map API . As well as to facilitate the collection of data by the field of local government development . Moreover , the existence of GIS aims to help local governments in the search for building plots parcels and ownership of data previously not been structured to be more structural and facilitate spatial data collection .

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