This paper is in the following e-collection/theme issue:

Information Retrieval (348) Infodemiology and Infoveillance (1558)

Published on in Vol 22, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17853, first published .
Crawling the German Health Web: Exploratory Study and Graph Analysis

Crawling the German Health Web: Exploratory Study and Graph Analysis

Crawling the German Health Web: Exploratory Study and Graph Analysis

Authors of this article:

Richard Zowalla1, 2 Author Orcid Image ;   Thomas Wetter3, 4, 5 Author Orcid Image ;   Daniel Pfeifer1, 2 Author Orcid Image
Article Authors Cited by (12) Tweetations (28) Metrics

Journals

  1. Vaghela U, Rabinowicz S, Bratsos P, Martin G, Fritzilas E, Markar S, Purkayastha S, Stringer K, Singh H, Llewellyn C, Dutta D, Clarke J, Howard M, Serban O, Kinross J. Using a Secure, Continually Updating, Web Source Processing Pipeline to Support the Real-Time Data Synthesis and Analysis of Scientific Literature: Development and Validation Study. Journal of Medical Internet Research 2021;23(5):e25714 View
  2. Tchakounte F, Teukeng Ngnintedem J, Damakoa I, Ahmadou F, Kuate Fotso F. Crawl-shing: A focused crawler for fetching phishing contents based on graph isomorphism. Journal of King Saud University - Computer and Information Sciences 2022;34(10):8888 View
  3. Zowalla R, Pfeifer D, Wetter T, Al-Yateem N. Readability and topics of the German Health Web: Exploratory study and text analysis. PLOS ONE 2023;18(2):e0281582 View
  4. Zia A, Aziz M, Popa I, Khan S, Hamedani A, Asif A. Artificial Intelligence-Based Medical Data Mining. Journal of Personalized Medicine 2022;12(9):1359 View
  5. Schultze M, Breuning M, von der Heyde M, Kaiser M, Müller-Nordhorn J, Holmberg C. Presenting scientifically-derived illness experiences online – Evaluation of the use of the DIPEx Germany website. Patient Education and Counseling 2022;105(7):2328 View
  6. Mathebula D. Quantitative Analysis of Group for Epidemiology Architectural Approach. Annals of Data Science 2024;11(3):979 View
  7. Rajiv S, Navaneethan C. An Optimal Topic Centric Crawler for Acquiring Bio-medical Themes Utilizing Gaussian Support Vector Regression. SN Computer Science 2023;4(6) View
  8. Sakai K, Takeshige K, Kato K, Kurihara N, Ono K, Hashimoto M. An Automatic Detection System for Fake Japanese Shopping Sites Using fastText and LightGBM. IEEE Access 2023;11:111389 View
  9. Specht L, Scheible R, Boeker M, Farin-Glattacker E, Kampel N, Schmölz M, Schöpf-Lazzarino A, Schulz S, Schlett C, Thomczyk F, Voigt-Radloff S, Wegner C, Wollmann K, Maun A. Evaluating the Acceptance and Usability of an Independent, Noncommercial Search Engine for Medical Information: Cross-Sectional Questionnaire Study and User Behavior Tracking Analysis. JMIR Human Factors 2025;12:e56941 View
  10. Siegle P, Pobiruchin M, Zowalla R, De Falco C. Analysis of web tracking and geolocation of German-language health websites. PLOS One 2025;20(5):e0323462 View

Conference Proceedings

  1. Tyagi L, Gupta A, Sisodia V. 2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS). A New Era of Web Mining: Innovative Approaches in Focused Web Crawling for Domain-Specific Information View
  2. Hardi S, Zarlis M, Efendi S, Nasution M. PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON COMPUTING AND APPLIED INFORMATICS 2022. Keyword-based e-commerce data crawling set using focused crawler (case study: Aquascape community) View