8,974 Hits in 4.4 sec

Massive Social Network Analysis: Mining Twitter for Social Good

David Ediger, Karl Jiang, Jason Riedy, David A. Bader, Courtney Corley
2010 2010 39th International Conference on Parallel Processing  
We present GraphCT, a Graph Characterization Toolkit for massive graphs representing social network data.  ...  We use GraphCT to analyze public data from Twitter, a microblogging network. Twitter's message connections appear primarily tree-structured as a news dissemination system.  ...  We thank Cray for providing their technical support on the Cray XMT.  ... 
doi:10.1109/icpp.2010.66 dblp:conf/icpp/EdigerJRBCFR10 fatcat:i6clwbmjuzetxgntubekzl3qxq

COSI: Cloud Oriented Subgraph Identification in Massive Social Networks

Matthias Bröcheler, Andrea Pugliese, V.S. Subrahmanian
2010 2010 International Conference on Advances in Social Networks Analysis and Mining  
Social network (SN) providers may want to find all subgraphs within their social network that "match" certain query graph patterns.  ...  We develop algorithms for both master and slave nodes that try to minimize communication overhead.  ...  INTRODUCTION During the last decade, there has been viral growth in social networks. FaceBook, Flickr, Twitter, YouTube and Blogger, all implement social networks.  ... 
doi:10.1109/asonam.2010.80 dblp:conf/asunam/BrochelerPS10 fatcat:hh2w6zpgnfbz7ffd3bitkymwsi

Scalable community detection in massive social networks using MapReduce

J. Shi, W. Xue, W. Wang, Y. Zhang, B. Yang, J. Li
2013 IBM Journal of Research and Development  
In this paper, we present a community-detection solution for massive-scale social networks using MapReduce, a parallel programming framework.  ...  With DEPOLD, delaying analysis of 1% of high-degree nodes to the postprocessing stage reduces both processing time and storage space by one order of magnitude.  ...  Zhao from University of California, Santa Barbara, for help regarding datasets.  ... 
doi:10.1147/jrd.2013.2251982 fatcat:gdhzgck3trdgljjpyhkksajboy

Clouds and Continuous Analytics Enabling Social Networks for Massively Multiplayer Online Games [chapter]

Alexandru Iosup, Adrian Lăscăteu
2011 Studies in Computational Intelligence  
The business model for MMOG social networks built by third-parties, that is, organizations not sponsored by the MMOG operator, is to obtain revenue from advertisements or from selling virtual goods and  ...  Related Work Our goal of designing a generic architecture for continuous analytics in support of social networks for MMOGs places our work at the intersection between large-scale data collection and mining  ... 
doi:10.1007/978-3-642-20344-2_12 fatcat:hc4fwlvyefclncnxjshxbsh4oa

Gamifying Massive Online Courses: Effects on the Social Networks and Course Completion Rates

Luis de-Marcos, Antonio Garcia-Cabot, Eva Garcia-Lopez, Raúl V. Ramírez-Valarde, Antonio Moreira Teixeira, José-Javier Martínez-Herráiz
2020 Applied Sciences  
This paper analyzes the effects of gamification in the social network of a massive online course.  ...  Social network analysis (SNA) and principal component analysis (PCA) were used to analyze the differences between a treatment and a comparison group (N = 591 and N = 427), using a set of 20 variables for  ...  The Elgg social networking engine implements a system of followers, similar to Twitter.  ... 
doi:10.3390/app10207065 fatcat:koy2qkve6bdglf6mprmtqitehi


Aysha Al Nuaimi, Aysha Al Shamsi, Amna Al Shamsi, Elarbi Badidi
2018 Figshare  
Also, social networks, such as Twitter, Facebook, and Google+, are becoming a new source of real-time information in smart cities. Social network users are acting as social sensors.  ...  In this work, we investigate how social media analytics help to analyze smart city data collected from various social media sources, such as Twitter and Facebook, to detect various events taking place  ...  To assess the meaning of cleaned data, various techniques such as text mining, natural language processing, social network analysis, and statistical methods can be used.  ... 
doi:10.6084/m9.figshare.6729077.v1 fatcat:ox7prmoa45ckridg4mxfic6tva

A Survey of Data Mining Techniques for Social Media Analysis [article]

Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Frederic Stahl
2014 arXiv   pre-print
Data mining provides a wide range of techniques for detecting useful knowledge from massive datasets like trends, patterns and rules [44].  ...  Accessing social network sites such as Twitter, Facebook LinkedIn and Google+ through the internet and the web 2.0 technologies has become more affordable.  ...  Future survey will tend to investigate novel state-of-the-art data mining techniques for social network analysis.  ... 
arXiv:1312.4617v2 fatcat:7zulil64vfhrpeexj5mcs7canq

Sentiment analysis on Healthcare Tweets

2020 Indian Journal of Public Health Research & Development  
Twitter is an online social networking service in which users can post their opinions about various topics and also cooperate with each other with messages known as "tweets".  ...  Twitter helps the people to know about the disease symptoms, services and details about the hospital before they go for consultation.  ...  Sentiment Analysis on Tweets Twitter is a social networking service where users can send and read short 140-character messages called "tweets."  ... 
doi:10.37506/ijphrd.v11i6.9841 fatcat:d7qamtvazzeovlhr2kmy6e5bam

Customer Satisfaction Measurement using Sentiment Analysis

Shaha Al-Otaibi, Allulo Alnassar, Asma Alshahrani, Amany Al-Mubarak, Sara Albugami, Nada Almutiri, Aisha Albugami
2018 International Journal of Advanced Computer Science and Applications  
While companies look for a simple way with a large number of responses, social media platforms like Twitter can allow them to do just that.  ...  In this article, we used Twitter data to get insight from public opinion hidden in data.  ...  Sentiment Analysis Network Analysis Customer Service Application Data Social Media Network Analysis Method Programming Package [6] Yes No No Customer Review Twitter applicable) (Facebook Data Mining (association  ... 
doi:10.14569/ijacsa.2018.090216 fatcat:fxxm4ftcuzf3zhgywjztjfecii

Deep Learning Technique of Sentiment Analysis for Twitter Database

Atif M. Gattan
2022 International Journal of Interactive Mobile Technologies  
These data are fruitful for discovering and enhancing the consumer requirements and to acquire better tune-up.  ...  Major improvement of using the concept of sentiment analysis is to develop the user needs by straightforwardly collecting the information from the outsized set of consumers.  ...  Twitter is an extensively used social media website for commenting through short statuses. The millions of twitter comments established each time possibly will be bringing up to sentiment analysis.  ... 
doi:10.3991/ijim.v16i01.27575 fatcat:jgggdmra5zcljbtoi3ahlv2zz4

Sentiment Analysis of Text with Lossless Mining

Abdul Razaq, Sanaz Kavianpour, Gavin Hales
2021 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)  
Social networks are becoming more and more real with their power to influence public opinions, election outcomes, or the creation of an artificial surge in demand or supply.  ...  The question is how to mine social text at a large scale and execute machine learning algorithms to create predictive models or historical views of previous trends.  ...  They investigated via their trial setup how the online social networking Twitter can be used to identify the top subjects being talked about. Hao et al.  ... 
doi:10.1109/iceccme52200.2021.9591155 fatcat:56zjfxbbq5cihps32lix4dyczi

Business Improvement Approach Based on Sentiment Twitter Analysis: Case Study

Mohebollah Noori, Jamal Maktoubian
2018 EAI Endorsed Transactions on Cloud Systems  
There are a number of studies in the respect of twitter sentiment analysis and opinion mining.  ...  Recently, everyday large amount of data continuously is generating from different sources such as social medias, social networks, Internet of things(IoT) devices, online games, healthcare data, and etc  ...  Undoubtedly, nowadays social networks make a huge contribution to our social and economic life.  ... 
doi:10.4108/eai.13-7-2018.158417 fatcat:yzrrwrb2dfbs3hvze7hum7tfmm

A Dictionary Based Analysis of User's Sentiment Regarding Indian Premier League

The growth of social media has provided the users with a platform to express their views on numerous themes. Social networking sites like Twitter are considered as large source of users' sentiment.  ...  Twitter has become one of the biggest sources for evaluating sentiment analysis. The shorter and informal nature of the text encourages the users to express their sentiment fast and effectively.  ...  Social networking sites like Twitter are considered as large source of users' sentiment. Twitter has become one of the biggest sources for evaluating sentiment analysis.  ... 
doi:10.35940/ijitee.h6947.0981119 fatcat:apanjyufmvbenplnhk3zy2svvi

Sentiment Analysis Of Data Mining Techniques For Social Networks

2018 Zenodo  
Getting to Social network destinations, for example, Twitter, Facebook LinkedIn and Google+ through the web and the web 2.0 innovations has turned out to be more moderate.  ...  This survey talks about various in Data mining methods used as a piece of mining differing parts of the Social network over decades going from the verifiable procedures to the up to date models.  ...  Future overview will have a tendency to examine novel state-of-the-art data mining techniques for social network analysis.  ... 
doi:10.5281/zenodo.1472708 fatcat:ztah7ifrkfbmves2zero6pgcuu

Online Social Network Analysis Using Machine Learning Techniques

K.C. Er. Hari
2017 Zenodo  
Opinion is the subject of study of Sentiment analysis and Opinion Mining. Opinion expressed in Social network can be analyzed and assist in making decision choosing the most popular brands.  ...  Twitter is the most popular Social networking site where peopletweet about particular topics.  ...  Another research paper entitled " Building Lexicon for sentiment analysis from massive collection of html documents " [7] is also equally important in expaining the sentiment analysis and opinion mining  ... 
doi:10.5281/zenodo.846479 fatcat:jlugwe3frfc3pb4c4z65a2e2eq
« Previous Showing results 1 — 15 out of 8,974 results