Search

  • Select Article Type
  • Abstract Supplements
  • Blood Group Review
  • Call to Arms
  • Communications
  • Hypothesis
  • In Memoriam
  • Interview
  • Introduction
  • Letter to the Editor
  • Short Report
  • abstract
  • Abstracts
  • Article
  • book-review
  • case-report
  • case-study
  • Clinical Practice
  • Commentary
  • Conference Presentation
  • conference-report
  • congress-report
  • Correction
  • critical-appraisal
  • Editorial
  • Editorial Comment
  • Erratum
  • Events
  • in-memomoriam
  • Letter
  • Letter to Editor
  • mini-review
  • minireview
  • News
  • non-scientific
  • Obituary
  • original-paper
  • original-report
  • Original Research
  • Pictorial Review
  • Position Paper
  • Practice Report
  • Preface
  • Preliminary report
  • Product Review
  • rapid-communication
  • Report
  • research-article
  • Research Communicate
  • research-paper
  • Research Report
  • Review
  • review -article
  • review-article
  • review-paper
  • Review Paper
  • Sampling Methods
  • Scientific Commentary
  • serologic-method-review
  • short-communication
  • short-report
  • Student Essay
  • Varia
  • Welome
  • Select Journal
  • In Jour Smart Sensing And Intelligent Systems
  • Journal Of Social Structure
  • Connections

 

research-article | 30-November-2019

A novel algorithm for estimation of Twitter users location using public available information

information on behavior, direction, and activity of these data. Probabilistic analyses require many experts to construct predictive models for the prediction process (Jayanthi et al., 2017). After the emergence of social media such as Facebook and Twitter, big data analysis and prediction techniques became one of the most important elements for identifying human behavior and predicting unknown aspects such as location, gender, and nationality. Social media data analysis is important for scientists

Yasser Almadany, Khalid Mohammed Saffer, Ahmed K. Jameil, Saad Albawi

International Journal on Smart Sensing and Intelligent Systems, Volume 13 , ISSUE 1, 1–10

research-article | 04-November-2019

Exploring Patterns of Social Relationships among Food Bloggers on Twitter Using a Social Network Analysis Approach

-White & Kortright, 2018; Stoldt, Wellman, Ekdale, & Tully, 2019). To date, research on food-related social media influencers has been limited, which is a critical gap given the potential reach and impact of nutrition information shared through blogs and social networking sites such as Twitter, Instagram, and Pinterest (Coates, Hardman, Halford, Christiansen, & Boyland, 2019; Korda & Itani, 2013; Li, Barnett, Goodman, Wasserman, & Kemper, 2013). Although nutrition information can be widely

Allison D. Hepworth, Jess Kropczynski, Justin Walden, Rachel A. Smith

Journal of Social Structure, Volume 20 , ISSUE 4, 1–21

research-article | 05-January-2021

COVID-19 Health Communication Networks on Twitter: Identifying Sources, Disseminators, and Brokers

. COVID-19 is the first pandemic of its kind in the age of social media. The amount and nature of information available to the public has changed significantly and is constantly evolving. Unfortunately, a crucial but surprisingly understudied phenomenon is the diffusion of health information on social media (Zhou et al., 2018; Aramburu et al., 2020). Twitter, a microblogging service, has become one of the most important sources of realtime news updates, with more than 64 million users in the U.S

Ian Kim, Thomas W. Valente

Connections: The Quarterly Journal, Volume 40 , ISSUE 1, 129–142

Article | 16-December-2013

Virtual Detection Zone in smart phone, with CCTV, and Twitter as part of an Integrated ITS

In this proposed integrated Intelligent Transport System, GPS enabled smart phones, and video cameras are used as traffic sensors, while Twitter is used as verifier. They are attractive because they are non intrusive, and consequently more practical and cheaper to implement. Our novel Virtual Detection Zone (VDZ) method has been able to map match by using pre-determined check points. VDZ speed accuracy ranges from 93.4 to 99.9% in higher speeds and it only needs one longitude and latitude

B. Hardjono, A. Wibisono, A. Nurhadiyatna, I. Sina, W. Jatmiko

International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 5, 1830–1868

Research Article | 01-September-2017

TEMPORAL QUERY PROCESSIG USING SQL SERVER

data are at the heart of a broad range of business and network intelligence applications ranging from consumer behaviour analysis, trend analysis, temporal pattern mining, and sentiment analysis on social media, cyber security, and network monitoring. Social networks (SN) such as Facebook, twitter, LinkedIn contains huge amount of temporal information. Social media forms a dynamic and evolving environment. Similar to real-world friendships, social media interactions evolve over time. People join or

Mastan Vali Shaik, P Sujatha

International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 5, 495–505

No Record Found..
Page Actions