Open access policy.
Creative Commons Attribution (CC BY) license.
The NETWORK INTELLIGENCE STUDIES provides instant access and open content, based on the principle that making research freely available to the public, it supports a greater exchange of knowledge worldwide. Journal allow readers to ”read, download, copy, distribute print, search or link to the full text” of its articles (from the Budapest Open Acces Initiative's definition of Open Access).
NETWORK INTELLIGENCE STUDIES is an open access scholarly journal that is available online to the readers without financial, legal, or technical barriers based on the theory to keep an article's content intact. Creative Commons licenses can be used to specify usage rights. Our Journal recommends CC BY license which is also an implied license.
NETWORK INTELLIGENCE STUDIES applies the Creative Commons Attribution (CC BY) license to all works we publish (read the human-readable summary or the full license legal code). Under the CC BY license, authors retain ownership of the copyright for their article, but authors allow anyone to download, reuse, reprint, modify, distribute, and/or copy articles in NETWORK INTELLIGENCE STUDIES, so long as the original authors and source are cited. No permission is required from the authors or the publishers.
In most cases, appropriate attribution can be provided by simply citing the original article. If the item you plan to reuse is not part of a published article (e.g., a featured issue image), then please indicate the originator of the work, and the volume, issue, and date of the journal in which the item appeared. For any reuse or redistribution of a work, you must also make clear the license terms under which the work was published.
This broad license was developed to facilitate open access to, and free use of, original works of all types. Applying this standard license to your own work will ensure your right to make your work freely and openly available.
The CC BY-SA and CC BY-ND licenses are available on request. Please contact the editorial office on acceptance of your article to discuss these options:
This work is made available under Attribution License - Distribution-in-identical conditions 4.0 Internațional Creative Commons.
This work is made available under Attribution License-NoDerivatives 4.0 Internațional Creative Commons.
It is therefore important to agree upon standards of expected ethical behavior for all parties involved in the act of publishing: the author, the journal editor, the peer reviewer and the publisher.
Data fabrication and falsification. Data fabrication means the researcher did not actually do the study, but made up data. Data falsification means the researcher did the experiment, but then changed some of the data. Both of these practices make people distrust scientists. If the public is mistrustful of science then it will be less willing to provide funding support.
Plagiarism. Taking the ideas and work of others without giving them credit is unfair and dishonest. Copying even one sentence from someone else’s manuscript, or even one of your own that has previously been published, without proper citation is considered plagiarism—use your own words instead.
Multiple submissions. It is unethical to submit the same manuscript to more than one journal at the same time. Doing this wastes the time of editors and peer reviewers, and can damage the reputation of journals if published in more than one.
Redundant publications. This means publishing many very similar manuscripts based on the same experiment. It can make readers less likely to pay attention to your manuscripts.
Improper author contribution or attribution. All listed authors must have made a significant scientific contribution to the research in the manuscript and approved all its claims. Don’t forget to list everyone who made a significant scientific contribution, including students and laboratory technicians.
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