scholarly journals MONITORING AKTIVITAS DI JEJARING SOSIAL MENGGUNAKAN ALGORITMA SELECTION SORT PADA MEDIA SOSIAL PENDIDIKAN

Compiler ◽  
2016 ◽  
Vol 5 (2) ◽  
Author(s):  
Mutiah Humaerah ◽  
Anton Setiawan Honggowibowo ◽  
Dwi Nugraheny
Keyword(s):  
Social Media ◽  
Social Network ◽  
Student Learning ◽  
Media Education ◽  
Test Results ◽  
Algorithm Selection ◽  
Web Based ◽  
The Status ◽  
Sort Algorithm

Monitoring the activity on social network is a web-based application used to monitor the activity o f students or children in socially mediated by parents or teachers. Social media educational been created to support student learning in school. The application o f monitoring usedSelection Sort Algorithm. Selection sort algorithm used to sort the data based on the results o f monitoring input the desired date. From the test results can be concluded that this application can be used to monitor the activity o f children in social media education based on status, comments,and messages. The results o f this study indicate that parents o f Mutiah (user) monitoring the activities o f their children based on the status o f the results o f an update 8 (eight) status starting from the date o f July 26, 2016 until August 2, 2016 with the sequences data from the newest date and time until the oldest data or sorting from the greatest data and average results obtained from testing using a questionnaire with 30 respondents and the amount calculated by the Likert method is 80.97% with the criteria o f "Very Good".

Analyzing Social Networks to Mine Important Friends

2013 ◽  
pp. 90-104 ◽  
Author(s):  
Carson K.-S. Leung ◽  
Irish J. M. Medina ◽  
Syed K. Tanbeer
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Social Networking Sites ◽  
Web Based ◽  
The Social ◽  
Social Entity ◽  
Social Entities ◽  
Media Data ◽  
Media Mining

The emergence of Web-based communities and social networking sites has led to a vast volume of social media data, embedded in which are rich sets of meaningful knowledge about the social networks. Social media mining and social network analysis help to find a systematic method or process for examining social networks and for identifying, extracting, representing, and exploiting meaningful knowledge—such as interdependency relationships among social entities in the networks—from the social media. This chapter presents a system for analyzing the social networks to mine important groups of friends in the networks. Such a system uses a tree-based mining approach to discover important friend groups of each social entity and to discover friend groups that are important to social entities in the entire social network.

A Usability Evaluation of Facebook's Privacy Features Based on the Perspectives of Experts and Users

2019 ◽  
pp. 1544-1568
Author(s):  
Márcio J. Mantau ◽  
Marcos H. Kimura ◽  
Isabela Gasparini ◽  
Carla D. M. Berkenbrock ◽  
Avanilde Kemczinski
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
User Interaction ◽  
Usability Evaluation ◽  
Second Step ◽  
Web Based ◽  
The Third ◽  
Privacy Settings ◽  
Three Stages

The issue of privacy in social networks is a hot topic today, because of the growing amount of information shared among users, who are connected to social media every moment and by different devices and displays. This chapter presents a usability evaluation of the privacy features of Facebook's social network. The authors carry out an evaluation composed by three approaches, executed in three stages: first by the analysis and inspection of system's features related to privacy, available for both systems (Web-based systems and mobile-based systems, e.g. app). The second step is a heuristic evaluation led by three experts, and finally, the third step is a questionnaire with 605 users to compare the results between specialists and real users. This chapter aims to present the problems associated with these privacy settings, and it also wants to contribute for improving the user interaction with this social network.

Detection of Leading Experts from ResearchGate

2018 ◽  
Vol 5 (3) ◽  
pp. 67-86
Author(s):  
Eya Ben Ahmed
Keyword(s):  
Social Media ◽  
Social Network ◽  
Technological Development ◽  
Clustering Method ◽  
Web Based ◽  
Supervised Clustering ◽  
And Performance

This article describes how thanks to the technological development, social media has propagated in recent years. The latter describes a range of Web-based platforms that enable people to socially interact with one another online. Several types of social media appeared. In this context, the author focuses on scientific social network which connects the researchers and allow them to communicate and collaborate online. In this paper, we, particularly, aim to detect the scientific leaders through firstly detect communities in social network then identify the leader of each group. To do this, the author introduces a new hierarchical semi-supervised clustering method based on ordinal density. The results of carried out experiments on real scientific warehouse have shown significant profits in terms of accuracy and performance.

scholarly journals Social Network Analysis of the Effects of a Social Media–Based Weight Loss Intervention Targeting Adults of Low Socioeconomic Status: Single-Arm Intervention Trial

10.2196/24690 ◽  
2021 ◽  
Vol 23 (4) ◽  
pp. e24690
Author(s):  
Ran Xu ◽  
David Cavallo
Keyword(s):  
Social Support ◽  
Social Media ◽  
Weight Loss ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Self Efficacy ◽  
Web Based ◽  
Network Characteristics ◽  
Using Data

Background Obesity is a known risk factor for cardiovascular disease risk factors, including hypertension and type II diabetes. Although numerous weight loss interventions have demonstrated efficacy, there is considerably less evidence about the theoretical mechanisms through which they work. Delivering lifestyle behavior change interventions via social media provides unique opportunities for understanding mechanisms of intervention effects. Server data collected directly from web-based platforms can provide detailed, real-time behavioral information over the course of intervention programs that can be used to understand how interventions work. Objective The objective of this study was to demonstrate how social network analysis can facilitate our understanding of the mechanisms underlying a social media–based weight loss intervention. Methods We performed secondary analysis by using data from a pilot study that delivered a dietary and physical activity intervention to a group of participants via Facebook. We mapped out participants’ interaction networks over the 12-week intervention period and linked participants’ network characteristics (eg, in-degree, out-degree, network constraint) to participants’ changes in theoretical mediators (ie, dietary knowledge, perceived social support, self-efficacy) and weight loss by using regression analysis. We also performed mediation analyses to explore how the effects of social network measures on weight loss could be mediated by the aforementioned theoretical mediators. Results In this analysis, 47 participants from 2 waves completed the study and were included. We found that increases in the number of posts, comments, and reactions significantly predicted weight loss (β=–.94, P=.04); receiving comments positively predicted changes in self-efficacy (β=7.81, P=.009), and the degree to which one’s network neighbors are tightly connected with each other weakly predicted changes in perceived social support (β=7.70, P=.08). In addition, change in self-efficacy mediated the relationship between receiving comments and weight loss (β=–.89, P=.02). Conclusions Our analyses using data from this pilot study linked participants’ network characteristics with changes in several important study outcomes of interest such as self-efficacy, social support, and weight. Our results point to the potential of using social network analysis to understand the social processes and mechanisms through which web-based behavioral interventions affect participants’ psychological and behavioral outcomes. Future studies are warranted to validate our results and to further explore the relationship between network dynamics and study outcomes in similar and larger trials.

scholarly journals Detection Of Spam Comments On Instagram Using Complementary Naïve Bayes

2019 ◽  
Vol 13 (3) ◽  
pp. 263
Author(s):  
Nur Azizul Haqimi ◽  
Nur Rokhman ◽  
Sigit Priyanta
Keyword(s):  
Social Media ◽  
Support Vector Machine ◽  
Test Data ◽  
Training Data ◽  
Classification Method ◽  
Support Vector ◽  
Test Results ◽  
Imbalanced Dataset ◽  
Web Based ◽  
F Measure

Instagram (IG) is a web-based and mobile social media application where users can share photos or videos with available features. Upload photos or videos with captions that contain an explanation of the photo or video that can reap spam comments. Comments on spam containing comments that are not relevant to the caption and photos. The problem that arises when identifying spam is non-spam comments are more dominant than spam comments so that it leads to the problem of the imbalanced dataset. A balanced dataset can influence the performance of a classification method. This is the focus of research related to the implementation of the CNB method in dealing with imbalance datasets for the detection of Instagram spam comments. The study used TF-IDF weighting with Support Vector Machine (SVM) as a comparison classification. Based on the test results with 2500 training data and 100 test data on the imbalanced dataset (25% spam and 75% non-spam), the CNB accuracy was 92%, precision 86% and f-measure 93%. Whereas SVM produces 87% accuracy, 79% precision, 88% f-measure. In conclusion, the CNB method is more suitable for detecting spam comments in cases of imbalanced datasets.

a Taskboard System Based On Website (Case Study: CV Nukegraphic Indonesia)

Tech-E ◽  
2018 ◽  
Vol 1 (2) ◽  
pp. 10
Author(s):  
Ceng Giap Yo ◽  
Dennie
Keyword(s):  
Information Technology ◽  
Test Results ◽  
Work Process ◽  
Web Based ◽  
Task List ◽  
The Status ◽  
Short Time ◽  
A Company ◽  
Made In

CV. Nukegraphic Indonesia as one of the fast growing website in Indonesia would require a lot of support, including support in the field of Information Technology. Recording task list that still use manual systems, often prevent the processing of information about the details of the status of the task and the status of projects ongoing or already completed in the form of a percentage of each project, as well as recording task that still use paper media is also considered only will lead to waste in paper usage. Recording task that is only made in the scope of the company's staff also hinder the work process of the company when staff are outside the company. The method used in the manufacture of a web-based application taskboard this form of collecting data through observation and questionnaires were distributed in the scope of the company. The test results of these applications concluded that with the application taskboard-based website is an account executive can find out information about the details of the status and the status of the project in a short time, because the data processing has been made into a computerized provided through the application, both an account executive and members are also more easy in knowing the task that must be done even though it is outside the company. With this application is expected to help the performance of employees in a company to be more productive

The Role of Social Media and Social Networking in Information Service Provision

2015 ◽  
pp. 126-139 ◽  
Author(s):  
Edeama O. Onwuchekwa
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Social Networking ◽  
Service Provision ◽  
Information Service ◽  
Web Based ◽  
Use Of Social Media ◽  
Bounded System

Social networking is a Web-based service that allows individuals to construct a public or semi-public profile within a bounded system, articulate a list of other users with whom they share a connection, and view and navigate their list of connections and those made by others within the system. No doubt, social media has great potential in taking library operations to the next level. It is in the light of this that this chapter examines the role of social media and social networking in information service provision in libraries. To achieve this objective, the chapter looks at social media as a tool in libraries, advantages of social media in libraries, social media and social networks, and practical examples on the use of social media and social network tools together with how libraries can forge ahead due to the use and application of social media and social networks to their daily operations. Conclusion and recommendations based on these highlights are provided.

A Usability Evaluation of Facebook's Privacy Features Based on the Perspectives of Experts and Users

2019 ◽  
pp. 1270-1294
Author(s):  
Márcio J. Mantau ◽  
Marcos H. Kimura ◽  
Isabela Gasparini ◽  
Carla D. M. Berkenbrock ◽  
Avanilde Kemczinski
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
User Interaction ◽  
Usability Evaluation ◽  
Second Step ◽  
Web Based ◽  
The Third ◽  
Privacy Settings ◽  
Three Stages

The issue of privacy in social networks is a hot topic today, because of the growing amount of information shared among users, who are connected to social media every moment and by different devices and displays. This chapter presents a usability evaluation of the privacy features of Facebook's social network. The authors carry out an evaluation composed by three approaches, executed in three stages: first by the analysis and inspection of system's features related to privacy, available for both systems (Web-based systems and mobile-based systems, e.g. app). The second step is a heuristic evaluation led by three experts, and finally, the third step is a questionnaire with 605 users to compare the results between specialists and real users. This chapter aims to present the problems associated with these privacy settings, and it also wants to contribute for improving the user interaction with this social network.

A Usability Evaluation of Facebook's Privacy Features Based on the Perspectives of Experts and Users

2015 ◽  
pp. 73-97
Author(s):  
Márcio J. Mantau ◽  
Marcos H. Kimura ◽  
Isabela Gasparini ◽  
Carla D. M. Berkenbrock ◽  
Avanilde Kemczinski
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
User Interaction ◽  
Usability Evaluation ◽  
Second Step ◽  
Web Based ◽  
The Third ◽  
Privacy Settings ◽  
Three Stages

The issue of privacy in social networks is a hot topic today, because of the growing amount of information shared among users, who are connected to social media every moment and by different devices and displays. This chapter presents a usability evaluation of the privacy features of Facebook's social network. The authors carry out an evaluation composed by three approaches, executed in three stages: first by the analysis and inspection of system's features related to privacy, available for both systems (Web-based systems and mobile-based systems, e.g. app). The second step is a heuristic evaluation led by three experts, and finally, the third step is a questionnaire with 605 users to compare the results between specialists and real users. This chapter aims to present the problems associated with these privacy settings, and it also wants to contribute for improving the user interaction with this social network.

Designing of Data Communication System for Night Bus Services Using Web-Based Barcodes and GPS Shields and Raspberry Pi

2017 ◽  
Vol 4 (1) ◽  
pp. 1-7
Author(s):  
Adi Putra Wijaya
Keyword(s):  
Rapid Development ◽  
Data Communication ◽  
Raspberry Pi ◽  
Mass Transportation ◽  
Test Results ◽  
Time Data ◽  
Web Based ◽  
The Status ◽  
Bus Services ◽  
The City

The bus is one of the mass transportation used by many people. With the rapid development of technology to find out the position of the bus, you can use a GPS tracker which has the ability to transmit real-time data. Use the barcode added to the bus ticket to find out the status of passengers getting on or off. Raspberry Pi functions to control Modem, Barcode Scanner, GPS Tracker. Raspberry Pi will process the GPS Tracker data on the bus to find out the coordinates of the bus. Barcode and GPS Tracker information will be retrieved from the webserver. Users will get bus information via a web smartphone by sending the bus police ID number. The application features contain agent information, bus destination code information, bus departure hours, bus tracking, and passenger status. Based on the test results, the tolerance value is 0.1" for latitude, the distance meter longitude value is 0.2". GPS Tracker will send more accurate data when in the city. In the Malang-Jakarta GPS Tracker test, there were not too many tree obstacles. Barcodes that have been scanned using a barcode reader will turn the seats on the display green.

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