An improved sampling method of complex network

2014 ◽  
Vol 25 (05) ◽  
pp. 1440007 ◽  
Author(s):  
Qi Gao ◽  
Xintong Ding ◽  
Feng Pan ◽  
Weixing Li
Keyword(s):  
Prior Knowledge ◽  
Complex Network ◽  
Degree Distribution ◽  
Local Structure ◽  
Random Sampling ◽  
Sampling Method ◽  
Sampling Methods ◽  
Global Information ◽  
Snowball Sampling ◽  
Original Network

Sampling subnet is an important topic of complex network research. Sampling methods influence the structure and characteristics of subnet. Random multiple snowball with Cohen (RMSC) process sampling which combines the advantages of random sampling and snowball sampling is proposed in this paper. It has the ability to explore global information and discover the local structure at the same time. The experiments indicate that this novel sampling method could keep the similarity between sampling subnet and original network on degree distribution, connectivity rate and average shortest path. This method is applicable to the situation where the prior knowledge about degree distribution of original network is not sufficient.

Toward cost-efficient sampling methods

2015 ◽  
Vol 26 (05) ◽  
pp. 1550050 ◽  
Author(s):  
Peng Luo ◽  
Yongli Li ◽  
Chong Wu ◽  
Guijie Zhang
Keyword(s):  
Complex Network ◽  
Sampling Method ◽  
Sampling Methods ◽  
Random Network ◽  
Sampling Rate ◽  
Clustering Coefficient ◽  
Node Degree ◽  
Snowball Sampling ◽  
Structure Information ◽  
Cost Efficient

The sampling method has been paid much attention in the field of complex network in general and statistical physics in particular. This paper proposes two new sampling methods based on the idea that a small part of vertices with high node degree could possess the most structure information of a complex network. The two proposed sampling methods are efficient in sampling high degree nodes so that they would be useful even if the sampling rate is low, which means cost-efficient. The first new sampling method is developed on the basis of the widely used stratified random sampling (SRS) method and the second one improves the famous snowball sampling (SBS) method. In order to demonstrate the validity and accuracy of two new sampling methods, we compare them with the existing sampling methods in three commonly used simulation networks that are scale-free network, random network, small-world network, and also in two real networks. The experimental results illustrate that the two proposed sampling methods perform much better than the existing sampling methods in terms of achieving the true network structure characteristics reflected by clustering coefficient, Bonacich centrality and average path length, especially when the sampling rate is low.

scholarly journals RANTAI PASOK KOMODITAS KACANG TANAH DI KABUPATEN MUNA

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Abdul Rahman ◽  
Usman Rianse ◽  
Sitti Aida Adha Taridala
Keyword(s):  
Supply Chain ◽  
Random Sampling ◽  
Sampling Method ◽  
Simple Random Sampling ◽  
Supply Chain Performance ◽  
Good Position ◽  
Order Fulfillment ◽  
Snowball Sampling ◽  
Qualitative Descriptive ◽  
Model Approach

This research aims to analyze (1) supply chain path, and (2) the performance of a supply chain commodity peanut Muna Regency. Sampling method used in this research was simple random sampling and snowball sampling. Supply chain path analyzed in qualitative descriptive. Supply chain performance is analyzed with a model approach to Supply Chain Operations Reference (SCOR). The results showed that members of the supply chain consists of peanut farmers, village collector (PPD), Sub-district collector (PPK) and inter-insular traders (PAP). There are three pathways of a supply chain that is a path I: farmer → PPD → PAP; path II: farmer → PPK → PAP; and path III: farmer → PAP. Supply chain performance attributes based on shipping and order fulfillment cycle, farmers are in the position and traders are at a good position..Keywords: peanuts; supply chains; traders; SCOR

scholarly journals Short Communication: Phenotypic diversity of male Burgo chicken from Bengkulu, Indonesia

2019 ◽  
Vol 20 (2) ◽  
pp. 532-536
Author(s):  
JOHAN SETIANTO ◽  
SUTRIYONO SUTRIYONO ◽  
HARDI PRAKOSO ◽  
BASYARUDDIN ZAIN ◽  
RIFKY ADWIYANSYAH ◽  
...  
Keyword(s):  
Direct Observation ◽  
Random Sampling ◽  
Sampling Method ◽  
Short Communication ◽  
Phenotypic Diversity ◽  
Gallus Gallus ◽  
Snowball Sampling ◽  
Red Junglefowl ◽  
The City ◽  
High Diversity

Abstract. Setianto J, Sutriyono, Prakoso H, Zain B, Adwiyansyah R, Amrullah AHK. 2019. Short Communication: Phenotypic diversity of male Burgo chicken from Bengkulu, Indonesia. Biodiversitas 20: 532-536. Burgo chicken is the result of a crossbreed of Red Junglefowl (Gallus gallus gallus) with Kampung chicken (Gallus domestica). This study aimed to describe the diversity of colors found in male Burgo chickens. The study was conducted in the city of Bengkulu, Indonesia. The method used in this study was a direct observation of the 50 male chickens on the breeders. The breeders belonging to the Burgo chicken community were determined by random sampling method. The breeders who did not join the community were determined by the snowball sampling method. This method was carried out because the presence of breeders who keep Burgo chickens was unknown. The data in this study consisted of the color of chest feathers, neck feathers, wing feathers, tail feathers, saddle feathers, and the number of wing and tail feathers. The data obtained were analyzed descriptively. The number of colors ranges 4 to 11 with the high diversity is mainly found on the feathers of the chest, neck and, saddle.

scholarly journals MARKETING CHANNEL OF THE TILAPIA IN HARAU SUB DISTRICT

2021 ◽  
Vol 1 (2) ◽  
pp. 365-372
Author(s):  
Regia Indah Kemala Sari
Keyword(s):  
Random Sampling ◽  
Sampling Method ◽  
Marketing Channel ◽  
Marketing Channels ◽  
Snowball Sampling ◽  
Trading System

This study aims to analyze the flow of tilapia trade in Harau Regency and the function of the trading system carried out in marketing tilapia in Harau Regency. The research was conducted in Solok Bio-Bio Village, Harau Sub District, Lima Puluh Kota Regency. The research sample was tilapia cultivation farmers selected by random sampling and tilapia marketing channels in Solok Bio Bio Village, Harau Sub District, namely traders and retailers using the snowball sampling method. The results showed that there were three patterns of tilapia marketing channels in Harau Sub District, namely Channel 0: Farmers → Final consumers; Channel II: Farmers → Retailers → Final consumers; Channel III : Farmers → wholesalers → Retailer → Final Consumers. The trading functions carried out include the functions of selling, buying, grading, transporting, storing and facilitating.

scholarly journals An investigation of relations between pre-service teachers' metacognition skill levels and their critical thinking situations

2015 ◽  
Vol 5 (1) ◽  
pp. 35-68 ◽  
Author(s):  
Özden Demir ◽  
Halil İbrahim Kaya
Keyword(s):  
Critical Thinking ◽  
Prospective Teachers ◽  
Random Sampling ◽  
Sampling Method ◽  
Sampling Methods ◽  
Negative Relationship ◽  
Descriptive Statistics ◽  
Skill Levels ◽  
Screening Model ◽  
Self Confidence

The main purpose of this study is to investigate prospective teachers' critical thinking and metacognition levels. The study is descriptive in nature and based on relational screening model. The participants were selected using stratified sampling method which is one of the random sampling methods, and 293 teachers became the participants of the study. The data collected via "California Critical Thinking Scale" and "Metacognition Scale" were analyzed using independent groups t-test, one-way variance analysis, correlation analysis as well as the descriptive statistics. Results show that although the participants' metacognition perceptions differed according to gender in the evaluation and organization dimensions, no significant differences were found in the other dimensions. The participants' perceived critical thinking levels did not show significant differences according to the departments they attend in the seeking truth, open-mindedness, analyticalness, systematicity, curiousness and total dimensions. Critical thinking total scores were found to display a negative relationship with evaluation, organization, and metacognition total scores while they showed a positive relationship with seeking the truth, open-mindedness, analyticalness, systematicity, self-confidence, and curiousness scores.

scholarly journals SAMPLING METHODS AND NUMBER OF ROUNDWOODS FOR DETERMINING THE MOISTURE CONTENT

2018 ◽  
Vol 42 (4) ◽  
Author(s):  
Danilo Barros Donato ◽  
Renato Vinícius Oliveira Castro ◽  
Angélica de Cássia Oliveira Carneiro ◽  
Ana Márcia Macedo Ladeira Carvalho ◽  
Benedito Rocha Vital ◽  
...  
Keyword(s):  
Moisture Content ◽  
Random Sampling ◽  
Sampling Method ◽  
Optimal Allocation ◽  
Sampling Methods ◽  
Simple Random Sampling ◽  
Optimum Number ◽  
Average Standard Deviation ◽  
Proportional Allocation ◽  
Allowable Error

ABSTRACT This study had the objective of comparing two methodologies of sampling, Simple Random Sampling (ACS) and Stratified Random Sampling (ACE) to determine the optimum number of roundwood samples to obtain the moisture content of the population. In order to achieve this goal, different percentages of allowable error (5,10,15 and 20%) were considered for each sampling methodology. In the conduction of this study, the samples were randomly taken from a lot of 250 steres of wood, 144 roundwood of three meters of length and distributed in four classes of diameter. Later, the moisture content of these samples was determined. And, from these values, the population estimates (average, standard deviation, variance, coefficient of variation, and standard error) by ACS and ACE methods, helped to determine the optimum number of roundwood (n) to be sampled from different percentages of allowable error adopted in this study at 95% probability. According to the results, the amount of roundwood to be sampled from ACS for each allowable error 5, 10, 15 and 20% was respectively 214, 55, 25 and 14. For the ACE (proportional allocation) the amount of roundwood was 141, 35, 16 and 9 for ACE (optimal allocation) this number was 136, 34, 15 and 8. It was concluded that the most indicated sampling method for this study, considering the allowable error, was the ACE method.

A beginner's Guide to Sampling Methods in Medical Research

2021 ◽  
Author(s):  
Moslem Basti ◽  
Farzan Madadizadeh
Keyword(s):  
Random Sampling ◽  
Sampling Method ◽  
Sampling Methods ◽  
Simple Random Sampling ◽  
Cluster Sampling ◽  
Stratified Random Sampling ◽  
Systematic Random Sampling ◽  
Probabilistic Sampling ◽  
Multi Stage ◽  
Main Components

Background: Sampling methods are one of the main components of each research. Familiarity with a variety of sampling methods is essential for researchers. Objective: The main purpose of this study was to teach different probabilistic and non-probabilistic sampling methods to improve the knowledge of researchers in conducting more accurate research. Methods: In this tutorial article, useful information about each sampling method, as well as how to properly use each method and its strengths and weaknesses are provided. Results: Five cases of probabilistic sampling methods and four cases of non-probabilistic sampling methods that are common are mentioned. Probabilistic sampling included simple random sampling, stratified random sampling, cluster sampling, systematic random sampling, and multi-stage random sampling. In addition to introducing each method, its strengths and weaknesses are also mentioned. Conclusion: Probabilistic sampling methods despite limiting assumptions provide more reliable results. Therefore, if it is possible, researchers should use probabilistic sampling methods to increase the accuracy of the study.

scholarly journals Sampling Methods and the Accredited Population in Athletic Training Education Research

2009 ◽  
Vol 4 (2) ◽  
pp. 75-81 ◽  
Author(s):  
W. David Carr ◽  
Jennifer Volberding
Keyword(s):  
Education Research ◽  
Literature Review ◽  
Athletic Training ◽  
Information Search ◽  
Random Sampling ◽  
Sampling Method ◽  
Sampling Methods ◽  
Demographic Data ◽  
Athletic Training Education ◽  
Web Based

Context: We describe methods of sampling the widely-studied, yet poorly defined, population of accredited athletic training education programs (ATEPs). Objective: There are two purposes to this study; first to describe the incidence and types of sampling methods used in athletic training education research, and second to clearly define the accredited ATEP population. Design and Setting: Literature review and web-based information search Participants: Accredited programs as of January 2008 Measurements: We conducted a literature review with the following limits: (1) articles with keyword “accreditation,” (2) articles utilizing accredited ATEP population, (3) articles published in the Journal of Athletic Training and the Athletic Training Education Journal, and (4) articles published since 2000. We categorized articles based on their sampling method(s). We conducted a web-based search of all accredited programs as of January 2008 and collected demographic data including: state/private affiliation, university enrollment, cost of attendance, National Athletic Trainers' Association district, and athletic affiliation. Results: Our literature search identified 37 articles. Twenty-seven (73%) articles did not clearly state their sampling methods. Twenty-two (59%) of the articles used some sort of random sampling method. The remaining 15 articles (41%) used some sort of nonrandom sampling method. As of January 2008 there were 360 accredited programs. Conclusions: The following generalizations can be made: (1) The majority of articles used a random sampling method. (2) The vast majority of programs were undergraduate. (3) A majority of programs are affiliated with state institutions.

scholarly journals Field sampling methods for investigating forest-floor bryophytes: Microcoenose vs. random sampling

2018 ◽  
Vol 70 (3) ◽  
pp. 589-598
Author(s):  
Milos Ilic ◽  
Ruzica Igic ◽  
Mirjana Cuk ◽  
Dragana Vukov
Keyword(s):  
Species Richness ◽  
Random Sampling ◽  
Forest Floor ◽  
Sampling Method ◽  
Sampling Methods ◽  
Diversity Index ◽  
Systematic Sampling ◽  
Field Sampling ◽  
Beech Forests ◽  
Quadrat Size

Because of the high importance of bryophytes in forest ecosystems, it is necessary to develop standardized field sampling methodologies. The quadrat method is commonly used for bryophyte diversity and distribution pattern surveys. Quadrat size and the position of quadrats within the studied area have a significant influence on different analyses. The aim of the present study was to define the minimum quadrat size appropriate for sampling ground bryophytes in temperate beech forests, to compare two different field sampling methods for research on ground bryophytes, the random and microcoenose methods; and to test the adequacy of the microcoenose sampling method in temperate beech forests. Research was carried out on Fruska Gora mountain (Serbia) at four different sites. All sites contained temperate broadleaf forest vegetation, predominantly Fagus sylvatica, but also included various other tree species. Systematic sampling based on nested quadrats was used to determine the minimum sampling area. Random sampling was performed using 10 or 20 microplots (minimum area quadrat), randomly located within 10x10 m plots. Microcoenose sampling is a systematic sampling method based on the fact that every bryophyte fragment on the forest floor is a separate microcoenose. These methods were compared using the following criteria: species richness; Shannon?s diversity index and evenness measure; coverage of dominant species, and the time needed for sampling. The microcoenose sampling method has proven to be highly applicable in temperate beech forests in terms of species richness and diversity, in contrast to random sampling, which was not suitable for bryophyte flora with a patchy distribution.

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