scholarly journals Measuring social networks in primates: wearable sensors vs. direct observations

2020 ◽  
Author(s):  
Valeria Gelardi ◽  
Jeanne Godard ◽  
Dany Paleressompoulle ◽  
Nicolas Claidière ◽  
Alain Barrat
Keyword(s):  
Data Collection ◽  
Wearable Sensors ◽  
A Priori ◽  
Population Level ◽  
Collection Method ◽  
Data Collection Method ◽  
Direct Observations ◽  
The Social ◽  
Different Types ◽  
Data Yield

AbstractNetwork analysis represents a valuable and flexible framework to understand the structure of individual interactions at the population level in animal societies. The versatility of network representations is moreover suited to different types of datasets describing these interactions. However, depending on the data collection method, different pictures of the social bonds between individuals could a priori emerge. Understanding how the data collection method influences the description of the social structure of a group is thus essential to assess the reliability of social studies based on different types of data. This is however rarely feasible, especially for animal groups, where data collection is often challenging. Here, we address this issue by comparing datasets of interactions between primates collected through two different methods: behavioral observations and wearable proximity sensors. We show that, although many directly observed interactions are not detected by the sensors, the global pictures obtained when aggregating the data to build interaction networks turn out to be remarkably similar. Sensors data yield moreover a reliable social network already over short timescales and can be used for long term campaigns, showing their important potential for detailed studies of the evolution of animal social groups.

scholarly journals Measuring social networks in primates: wearable sensors versus direct observations

2020 ◽  
Vol 476 (2236) ◽  
pp. 20190737
Author(s):  
Valeria Gelardi ◽  
Jeanne Godard ◽  
Dany Paleressompoulle ◽  
Nicolas Claidiere ◽  
Alain Barrat
Keyword(s):  
Data Collection ◽  
Wearable Sensors ◽  
A Priori ◽  
Population Level ◽  
Sensor Data ◽  
Collection Method ◽  
Data Collection Method ◽  
The Social ◽  
Different Types ◽  
Data Yield

Network analysis represents a valuable and flexible framework to understand the structure of individual interactions at the population level in animal societies. The versatility of network representations is moreover suited to different types of datasets describing these interactions. However, depending on the data collection method, different pictures of the social bonds between individuals could a priori emerge. Understanding how the data collection method influences the description of the social structure of a group is thus essential to assess the reliability of social studies based on different types of data. This is however rarely feasible, especially for animal groups, where data collection is often challenging. Here, we address this issue by comparing datasets of interactions between primates collected through two different methods: behavioural observations and wearable proximity sensors. We show that, although many directly observed interactions are not detected by the sensors, the global pictures obtained when aggregating the data to build interaction networks turn out to be remarkably similar. Moreover, sensor data yield a reliable social network over short time scales and can be used for long-term studies, showing their important potential for detailed studies of the evolution of animal social groups.

صورة المرأة في قصة مريم في القرآن الكريم : دراسة الأدبية النسوية

2020 ◽  
Vol 4 (01) ◽  
pp. 40-54
Author(s):  
Jihan Nabila ◽  
Muhammad Yusuf
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Social Image ◽  
Collection Method ◽  
Data Collection Method ◽  
The Social ◽  
The Family ◽  
Library Studies ◽  
Qualitative Descriptive ◽  
Descriptive Method

The study of feminism is a literarytradition that leads tokan fokus analisis to female. One of the focuses of the study of feminism is the image of women. In the Qur'an there are many verses that tell about women, there is even one surah that tells the female character specifically, surah Maryam. The purpose of this research is to describe the image of women in the story of Maryam in the Quran including psychic imagery and social imagery. The data collection method that library studies use. The method of data analysis used is a qualitative descriptive method. The subjects in this study are the text of surah Ali Imran, surah Maryam, and surah At Tahrim in the Qur'an. The result of this study is a psychic image ofa woman in the storyof Maryam in the Qur'an consisting of 1)a sincereperson,(2)a devout worshipter,(4)a worried person,(4)a fearful person,(5)a man who is inflicted in pain, and(6)a man who guards honor. The social image of women in the story of Maryamin the Qur'an in the family and community consists of (1)a nephew, (2a) mother, ( 3a child, (4) a sister, (5) a weak man rather than a man in worship (6) an exiled person, (7) a contested person, (8) an accused person, and (9) a man who is given to serve. Based on the analysis of the above imagery found gender injustice contained in this study in the form of stereotypes and violence

scholarly journals DEMOGRAPHIC PORTRAIT OF CORRUPTORS IN INDONESIA

2019 ◽  
Vol 7 (1) ◽  
pp. inPress
Author(s):  
Khy’sh Nusri Leapatra Chamalinda ◽  
Tarjo ◽  
Bambang Hariyadi
Keyword(s):  
Data Collection ◽  
Supreme Court ◽  
Secondary Data ◽  
Primary Data ◽  
Government Officials ◽  
Collection Method ◽  
Economic Rights ◽  
Data Collection Method ◽  
The Social ◽  
Financial Losses

Corruption not only cause financial losses to the state but also violates the social and economic rights of society at large. Corruption always draws more attention than other criminal acts (Hartanti, 2005). This research aims to present a demographic portrait of corruptors in Indonesia based on the Decree of Supreme Court of 2015. This research used qualitative method with descriptive analytical approach. There were 92 cases of corruption in the Decree of Supreme Court of 2015 and the number of corruptors analyzed was 106. Informants in this research were psychologists and religious experts. Data collection method for the primary data was interview and the secondary data collection method was investigating decree of Supreme Court documents. The results showed that the majority of corruptors in Indonesia were male (87%), Muslim (74%), aged between 46 - 55 years old (51%), undergraduates (34%), working as civil servants (45 %), serving as government officials or employees (56%), and working within the scope of government agencies (57%).

scholarly journals Analisis Konflik Sosial Santri Reguler dan Intensif di TMI Putra Al-Amien Prenduan

2019 ◽  
Vol 3 (1) ◽  
pp. 47
Author(s):  
Muhammad Munir
Keyword(s):  
Social Interaction ◽  
Data Collection ◽  
Observational Data ◽  
Social Relations ◽  
Social Communication ◽  
Social Groups ◽  
Collection Method ◽  
Data Collection Method ◽  
The Social ◽  
Very High

This article describes the conflict that occurred between Regular and Intensive santri at TMI Putra al-Amin Prenduan. The data collection method used is comparing observational data with the results of interviews with triangulation. Humans are born to know each other and socialize. But everyone also has to live in groups. Problems arise when there is a conflict of social relations between groups and a lack of social communication that occurs due to several things. The conflict that occurred among the Regular and Intensive santri at TMI Putra al-Amin Prenduan, which resulted in a lack of social communication and admonished the santri. This is due to provocative words that often arise among santri, causing emotion within themselves to be very high which results in the emergence of hostility among santri. From the data obtained, about the Regular and Intensive santri social groups there are three that cause conflicts to occur between santri, namely: the mischief of the santri, the behavior of the santri and the social interaction of the santri. While the causes of the Regular and Intensive santri conflict in TMI Putra Al-Amien Prenduan are caused by three things, namely: the factor of the older brother's doctrine, fanatics and bullying.

Strategi Pemasaran Untuk Meningkatkan Jumlah Kunjungan Pada Obyek Wisata Kebun Raya Dan Kebun Binatang (KRKB) Gembira Loka Di Kota Yogyakarta

2017 ◽  
Vol 22 (1) ◽  
pp. 1-10
Author(s):  
Nur Wening ◽  
Muhammad Al Hasny ◽  
Ridha Fitryana
Keyword(s):  
Qualitative Research ◽  
Data Collection ◽  
Marketing Strategy ◽  
Swot Analysis ◽  
Internal Variable ◽  
External Variable ◽  
Collection Method ◽  
Data Collection Method ◽  
A Company

This research aims to formulate marketing strategy to increase visitors of Gembira Loka Garden and Zoo (KRKB Gembira Loka) in Yogyakarta. This research is qualitative research and uses interview, observation, and documentation as data collection method. The data is analyzed by using SWOT analysis with internal and external variable identification. The internal variable shows that location is the main strength of Gembira Loka KRKB with 0.17 by value and 5 by rating. From external variable, the result of EFAS table shows that Gembira Loka KRKB has good enough chance while the thread has less result than the chance. Gembira Loka KRKB is in quadrant 1, which is the position in which a company is considered to be in a beneficial situation due to its chance and strength. In such case, the company can utilize the chance by maximizing the strength. The following strategy to go through in this condition is supporting aggressive planning.

SIMBOLISASI DALAM NOVEL SANG ALKEMIS KARYA PAULO QUELHO

2019 ◽  
Vol 7 (4) ◽  
pp. 79
Author(s):  
Endang Maruti
Keyword(s):  
Content Analysis ◽  
Data Collection ◽  
Old Age ◽  
Qualitative Approach ◽  
Data Sources ◽  
The Novel ◽  
Note Taking ◽  
Literature Study ◽  
Collection Method ◽  
Data Collection Method

The research aims to uncover the symbols in the novel The Alchemist and to gain knowledge about the moral teachings in the symbol. This research is descriptive qualitative approach. Data sources in this study are words, phrases or sentences in the novel Alchemist. Data collection method is a literature study method with note taking technique. Data were analyzed using description and content analysis methods. The results showed that the novel The Alchemist contained many symbols. These symbols include: (1) wise parents, who symbolize both negative and positive things. From his appearance, parents can symbolize something bad, but behind his old age he symbolizes a knowledge that is very much and wise; (2) stones that symbolize something hard, not easily broken, and can provide clues to something; and (3) deserts or deserts which can be interpreted as symbols of drought, aridity, unattractiveness, emptiness, despair, determination for ignorance, and also as symbols of devotion.  

sistem informasi manajemen

2019 ◽  
Author(s):  
Novi Rozalita AR
Keyword(s):  
Data Collection ◽  
Report Cards ◽  
Collection Method ◽  
Data Collection Method ◽  
Data Value ◽  
Qualitative Descriptive ◽  
Descriptive Approach

ABSTRACTInformation systems in the processing of student value using the program the computer can facilitate teachers in processing student value more quickly and effectively. So as to produce information quickly and accurately in searching the data value of students. One is the use of E-report cards in processing grades at MAN 1 Sungai Panuah. The main focus of this research is "Processing Student Value of E-Grade X Class at MAN 1 Sungai Panuah" This research was conducted at MAN 1 Sungai Panuah by using Qualitative Descriptive approach. Data collection method used is interview

scholarly journals Utilising Mood Boards as an Image Elicitation Tool in Qualitative Research

2021 ◽  
pp. 136078042199348
Author(s):  
Simon Spawforth-Jones
Keyword(s):  
Qualitative Research ◽  
Data Collection ◽  
Critical Appraisal ◽  
Research Projects ◽  
Research Project ◽  
Collection Method ◽  
Visual Method ◽  
Data Collection Method ◽  
Elicitation Methods ◽  
And Gender

The use of image elicitation methods has been recognised in qualitative research for some time; however, the use of mood boards to prompt participant discussion is currently an under-researched area. This article explores the use of mood boards as a data collection method in qualitative research. Used in design disciplines mood boards allow designers to interpret and communicate complex or abstract aspects of a design brief. In this study, I utilise mood boards as being part creative visual method and part image elicitation device. The use of mood boards is explained here in the context of a research project exploring masculinity and men’s reflexivity. In this article, I consider the benefits of utilising this method in researching reflexivity and gender before offering a critical appraisal of this method and inviting others to explore how mood boards might enhance research projects involving elicitation.

A survey on prediction of diabetes using classification algorithms

2021 ◽  
Vol 2 (104) ◽  
pp. 77-84
Author(s):  
A. Khanwalkar ◽  
R. Soni
Keyword(s):  
Machine Learning ◽  
Data Collection ◽  
Learning Algorithm ◽  
Algorithm Design ◽  
Machine Learning Algorithms ◽  
Classification Algorithms ◽  
Machine Learning Algorithm ◽  
Collection Method ◽  
Data Collection Method ◽  
Diagnostic Center

Purpose: Diabetes is a chronic disease that pays for a large proportion of the nation's healthcare expenses when people with diabetes want medical care continuously. Several complications will occur if the polymer disorder is not treated and unrecognizable. The prescribed condition leads to a diagnostic center and a doctor's intention. One of the real-world subjects essential is to find the first phase of the polytechnic. In this work, basically a survey that has been analyzed in several parameters within the poly-infected disorder diagnosis. It resembles the classification algorithms of data collection that plays an important role in the data collection method. Automation of polygenic disorder analysis, as well as another machine learning algorithm. Design/methodology/approach: This paper provides extensive surveys of different analogies which have been used for the analysis of medical data, For the purpose of early detection of polygenic disorder. This paper takes into consideration methods such as J48, CART, SVMs and KNN square, this paper also conducts a formal surveying of all the studies, and provides a conclusion at the end. Findings: This surveying has been analyzed on several parameters within the poly-infected disorder diagnosis. It resembles that the classification algorithms of data collection plays an important role in the data collection method in Automation of polygenic disorder analysis, as well as another machine learning algorithm. Practical implications: This paper will help future researchers in the field of Healthcare, specifically in the domain of diabetes, to understand differences between classification algorithms. Originality/value: This paper will help in comparing machine learning algorithms by going through results and selecting the appropriate approach based on requirements.

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