About Synthesishub: Aims and Scope

Synthesishub is an international peer-reviewed journal in English devoted to the field of the World Wide Web and serves as a forum for discussion and experimentation. It serves as a forum for new research in information dissemination and communication processes in general, and in the context of the World Wide Web in particular. Concerns include the production, gathering, recording, processing, storing, representing, sharing, transmitting, retrieving, distribution, and dissemination of information, as well as its social and cultural impacts. There is a strong emphasis on the Web and new information technologies. Special topic issues are also often seen.

The World Wide Web

Web information retrieval; Web crawling and indexing; Web cataloging; Web searching; Search engines and directories; Search behavior; Metadata; Link analysis; Semantic Web; Web ontology; Web Thesaurus; Webometrics; Cybermetrics; Invisible Web; Web Intelligence (WI), Web Competitive Intelligence (WCI), Web mining; New technologies of Web services; Web impacts; Web search trends; Web users behavior; Web users and usage studies; International issues of the Web; Social studies of the Web; Censorship; Intellectual freedom on the Web; Web site filtering; Web and civil society; Web and globalization; Weblog, Web war; Web and socio-political issues; Open Access; Evaluating Web resources; Web visibility, popularity and diversity; Web accessibility; Internet, Validity of information; Information mining; Information extraction; Information management and organization; Information or resource discovery; Knowledge management; Knowledge organization; The role of the Web and ICT in research, education, economy, development, customer services, marketing, productivity improvement, and etc.

Library and Information Science

Information retrieval systems; Indexing; Abstracting; Information and communication technology; Information Evaluation and measurement; Information representation, organization, and classification; Library classification theories; Data processing; Information systems design; Electronic document management; Digital libraries; Libraries and the Web; Information and communication theories; Information transferring; Information economics; Information society; Information policy; Information seeking behavior; Social and cultural impacts of information; Information marketing; Management information systems (MIS); Informetrics; Scientometrics; Bibliometrics; Citation analysis; ...

Bibliographic Information

World Wide Web--Periodicals
Web science--Periodicals
Information science--Periodicals
Library science--Periodicals
2004 - Vol. 1, No. 1 (August) -
Biannual, since 2009 -
Quarterly (2004-2008)
University of Tehran, Iran
Info Sci Publisher

Open Access



) ; OA polices: SHERPA/RoMEO

Publication fee

 Article processing charge  ( €150 euros for developed countries and €100 for developing countries )
Serial (Periodical)
Synthesishub Serves as a forum for new research in information dissemination and communication processes in general, and in the context of theWorld Wide Web in particular.
All manuscripts must be free from plagiarism contents. All authors are suggested to use plagiarism detection software to do the similarity checking. Editors check the plagiarism detection of manuscripts in this Synthesishub by using Grammarly detection software (www.grammarly.com) and using iThenticate since September 2016. The Journal will immediately reject papers leading to plagiarism or self-plagiarism. The Journal adheres to international practices of preventing plagiarism. Thus, all authors that submit their manuscripts to the Journal must check that their academic work respects the copyrights of other scholars and avoids any and all plagiarism. Once the manuscript is submitted to the Journal, the editorial team will assign a group of anti-plagiarism members to check the manuscript through various tools. If proof of plagiarism is found, the manuscript will be rejected immediately, and the Editorial Board will communicate with the author to demand an explanation and the amendment of the plagiarized content. If the author does not respond within a reasonable length of time or does not make the necessary adjustments, they will not be able to submit manuscripts to the Journal for a period of five (5) years. If the Editorial Board has reason to believe that the manuscript was not drafted or researched in an ethical manner, the journal's implemented code of ethics (Committee on Publication Ethics [Code of Conduct and Best Practices Guidelines for Journals Editors]) will be reviewed and act accordingly.
The Synthesishub journal provides immediate open access to its content. Our publisher, the JCF CORP , abides by the Budapest Open Access Initiative definition of Open Access: “By “open access” to [peer-reviewed research literature], we mean its free availability on the public Internet, permitting any users to read, download, copy, distribute, print, search, or link to the full texts of these articles, crawl them for indexing, pass them as data to software, or use them for any other lawful purpose, without financial, legal, or technical barriers other than those inseparable from gaining access to the internet itself. The only constraint on reproduction and distribution, and the only role for copyright in this domain, should be to give authors control over the integrity of their work and the right to be properly acknowledged and cited.” Researchers engage in discovery for the public good, yet because of cost barriers or use restrictions imposed by other publishers, research results are not available to the full community of potential users. It is our mission to support a greater global exchange of knowledge by making the research published in this journal open to the public and reusable under the terms of a Creative Commons CC-BY-NC license. Furthermore, we encourage authors to post their pre-publication manuscript in institutional repositories or on their web sites prior to and during the submission process, and to post the Publisher's final formatted PDF version after publication. These practices benefit authors with productive exchanges as well as earlier and greater citation of published work. This journal is a fully open-access journal, which means that all articles are available on the Internet to all users immediately upon publication. Non-commercial and commercial use and distribution in any medium is permitted, provided the author and the journal are properly credited. Benefits of open access for authors, include:
  • Authors retain copyright to their work.
  • Free access for all users worldwide.
  • Increased visibility and readership.
  • No spatial constraints.
  • Rapid publication.
The Synthesishub journal uses the Basic Data Sharing Policy. The journal is committed to a more open research landscape, facilitating faster and more effective research discovery by enabling reproducibility and verification of data, methodology and reporting standards. The Journal encourages authors to cite and share their research data including, but not limited to: raw data, processed data, software, algorithms, protocols, methods, materials. Authors are encouraged to share or make open the data supporting the results or analyses presented in their article where this does not violate the protection of human subjects or other valid privacy or security concerns. The Journal encourages authors to share the data and other artifacts supporting the results in the article by archiving it in an appropriate public repository. Authors should include a Data Accessibility Statement, including a link to the repository they have used, in order that this statement can be published alongside their paper. The Journal requires authors of Original Investigation, Case Report, and Special Paper articles to (1) place the de-identified data associated with the manuscript in a repository; and (2) include a Data Availability Statement in the manuscript describing where and how the data can be accessed.
The Journal defines data as the digital materials underlying the results described in the manuscript, including but not limited to spreadsheets, text files, interview recordings or transcripts, images, videos, output from statistical software, and computer code or scripts. Authors are expected to deposit at least the minimum amount of data needed to reproduce the results described in the manuscript.
Data can be placed in any repository that makes data publicly available and provides a unique persistent identifier, including institutional repositories, general repositories (e.g., Figshare, Open Science Framework, Zenodo, Dryad, Harvard Dataverse, OpenICPSR), or discipline-specific repositories.
The Data Availability Statement should be placed in the manuscript at the end of the main text before the references. This statement must include (1) an indication of the location of the data; (2) a unique identifier, such as a digital object identifier (DOI), accession number, or persistent uniform resource locator (URL); and (3) any instructions for accessing the data, if applicable.
At the point of submission, you will be asked if there is a data set associated with the paper. If you reply yes, you will be asked to provide the DOI, pre-registered DOI, hyperlink, or other persistent identifier associated with the data set(s). If you have selected to provide a pre-registered DOI, please be prepared to share the reviewer URL associated with your data deposit, upon request by reviewers.
Where one or multiple data sets are associated with a manuscript, these are not formally peer reviewed as a part of the journal submission process. It is the author's responsibility to ensure the soundness of data. Any errors in the data rest solely with the producers of the data set(s).
Please note: As you are submitting your manuscript to the Journal where submissions are double-blind peer reviewed, the main text file should not include any information that might identify the authors (i.e., Author Name, Address, Conflict of Interest and fund related information). As a data availability statement could reveal your identity, we recommend that you remove this from the anonymized version of the manuscript.
Exceptions to this policy will be made in rare cases in which de-identified data cannot be shared due to their proprietary nature or participant privacy concerns. Exceptions to policy and restrictions on data availability are granted for reasons associated with the protection of human privacy, issues such as biosafety, and/or to respect terms of use for data obtained under license from third parties. Confidential data, e.g., human subject or patient data, should always be anonymized, or permission to share should be obtained in advance. If in doubt, authors should seek counsel from their institution's ethics committee.
Authors should include a data accessibility statement, including a link to the repository they have used, in order that this statement can be published alongside their paper. Below a few examples: Data Availability Statement:
  • Data associated with this article are available in the Open Science Framework at .
  • The data that support the findings of this study are openly available in [repository name] at http://doi.org/[doi], reference number [reference number].
  • The data that support the findings of this study are openly available in [repository name] at [URL], reference number [reference number].
  • The data that support the findings of this study are available in [repository name] at [URL/DOI], reference number [reference number]. These data were derived from the following resources available in the public domain: [list resources and URLs]
Data should be cited in the same way as article, book, and web citations and authors are required to include data citations as part of their reference list. Data citation is appropriate for data held within institutional, subject focused, or more general data repositories. It is not intended to take the place of community standards such as in-line citation of GenBank accession codes. When citing or making claims based on data, authors must refer to the data at the relevant place in the manuscript text and in addition provide a formal citation in the reference list. The Journal follows the format proposed by the Joint Declaration of Data Citation Principles : Authors; Year; Dataset title; Data repository or archive; Version (if any); Persistent identifier (e.g. DOI).
<a href="http://www.webology.org/" title="Synthesishub">Synthesishub</a>
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Indexing and Abstracting

Synthesishub is indexed by:

The journal is listed in the online catalogues and directories of open access journals of several prestigious university libraries around the world.


The copyright of articles submitted to the journal are published under the terms of the Creative Commons License (CC BY-NC-ND). Therefore, the copyright of articles accepted for Synthesishub rests with the author(s).

For information about the Peer Review process, and the Editorial Policy, please see the Author Guidelines.