Bigan.net

Bigan is a professional graduation thesis writing platform, providing services such as graduation thesis samples, thesis formatting, thesis plagiarism checking, proposal ...

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One-stop academic writing assistance to solve pain points throughout the entire thesis process

In the entire academic creation process, every step from topic selection to finalisation can become a bottleneck for students and researchers: uncertainty in topic direction, switching between multiple databases when searching for literature, lack of ideas when outlining, repeated format adjustments during first draft writing, and concerns about plagiarism rates during final checking. As an online writing and innovation assistance platform built on big data technology, Bigan.net integrates topic analysis, data collection, outline recommendation, online writing, reference management, and thesis plagiarism checking into one platform, eliminating the time cost of switching between multiple software tools and making academic creation more efficient.

Official website: https://www.bigan.net/

Core functions arranged according to writing process, covering full-link needs

Following the actual progression of a thesis from 0 to finalisation, Bigan.net’s six core functions form a complete writing support system, with corresponding tools for each step to solve specific problems and make the writing process smoother.

Phased function adaptation to improve writing efficiency

• Topic Analysis: The platform has built a massive question bank, supporting the screening and recommendation of topics by keywords such as university, major, supervisor, and writing direction. It can also generate a topic analysis report with 12 results including journal citations, author relationship diagrams, and institutional distributions, helping users judge whether a topic has research value before starting writing and avoid blindness in topic selection.
• Data Collection: It contains over 500 million academic literature records, covering various types such as books, journals, dissertations, conference papers, newspapers, standards, and patents. It supports keyword search and category filtering, eliminating the need to piece together literature from multiple sources and providing one-stop access to required materials.
• Outline Recommendation: After entering keywords or confirming a topic, the platform automatically generates outline suggestions, avoiding logical confusion caused by subjective framework construction and making the article structure more reasonable.
• Online Writing: It provides cloud sync functionality, supporting document export at any time, allowing users to continue writing on other devices without worrying about version confusion, making writing scenarios more flexible.
• Reference Management: It supports formatted generation and standardised management of literature entries, with convenient addition and modification operations, ensuring the final draft meets academic format requirements and reducing the tedious work of format adjustment.
• Thesis Plagiarism Check: Jointly launched with Baidu Scholar, its plagiarism checking system has a database comparison fingerprint of up to 40 billion, providing reliable support for plagiarism rate detection before finalisation and helping users control the bottom line of academic integrity in advance.

It is worth mentioning that Bigan.net’s data-driven feature makes writing more intelligent: through machine learning algorithms to fragment literature, the platform intelligently pushes required knowledge segments during writing, enabling “finding materials while writing” and further reducing the time cost and energy consumption of writing.

Detailed explanation of plagiarism check function, free quota usage tips and applicable crowd

Plagiarism checking is the most concerned function for most users. Bigan.net’s plagiarism check database covers the latest books, journals, conference papers and other literature types, with a comparison fingerprint scale of 40 billion. Combined with the joint support of Baidu Scholar, its detection speed and accuracy are guaranteed. In terms of cost, it adopts a combination of free and paid models, with two free plagiarism check opportunities per account per day; additional checks require payment.

Efficient usage methods for free plagiarism check quota

1. Check core chapters in the first draft stage: There is no need to wait for the full text to be completed. Conduct local checks on the literature review and key paragraphs of the main text first, and discover non-standard citations early for timely adjustment.
2. Recheck after modification: After rewriting the paragraphs marked as plagiarised in the first check, use the second free quota for rechecking to confirm the plagiarism reduction effect and ensure modifications are in place.
3. Evaluate whether to pay for final check before finalisation: If the thesis is long or the free quota is exhausted, combine with the university’s unified plagiarism check arrangement to decide whether to pay for a final check on the platform, avoiding resource waste from repeated checks.

It should also be noted the distinction of function boundaries: apart from plagiarism checking, some advanced functions such as supervisor comments are paid; students from universities that have partnerships with the platform have additional benefits, with some university users enjoying free plagiarism checks or trial period offers. Before use, confirm whether your university is on the partner list.

Applicable crowd and access methods, new user quick start guide

From its positioning, Bigan.net mainly targets university teachers and students, especially suitable for users writing dissertations, professional title papers or journal articles. If you are in a stage of topic confusion, have a large demand for literature, or are unsure about reference formats, this platform will provide direct help and effectively solve common problems in academic writing.

There are two access scenarios: directly accessible on campus networks without additional settings; off-campus access is controlled via IP address permissions, and specific availability depends on whether the university has enabled access. For accounts, in addition to regular registration and login, the platform also supports fast login via third-party accounts such as QQ, WeChat, and Weibo, with a very low entry threshold and no complex registration process.

Tools cannot replace thinking, but they can help you avoid a lot of repetitive work — topics are supported by data, literature is retrieved in one stop, formats are automatically standardised, and plagiarism rates are warned in advance, making it easier to uphold the bottom line of academic integrity.

New user FAQ, removing usage barriers

For first-time use, which function is recommended to start with?

It is recommended to start with Topic Analysis. After confirming the topic, use the Data Collection function to build a dedicated literature library, then use Outline Recommendation to build a clear article framework, and finally enter the Online Writing stage. Following this process is more efficient than using individual functions separately, helping you enter the writing state faster.

Can it be used off-campus or after graduation?

It is directly accessible on campus networks; off-campus access is controlled via IP address permissions. If your university has a partnership with the platform, permissions are usually configured uniformly by the university. Individual users can also register an account on the official website directly, and specific availability is subject to actual experience after login.

Are two free plagiarism check opportunities per day sufficient?

For daily writing and periodic checks, two free checks per day are basically sufficient. Only when conducting high-frequency checks, final checks for long papers, or needing value-added services such as supervisor comments will paid items be required, meeting the basic plagiarism check needs of most users.

From topic confirmation, literature retrieval, outline construction, online writing, reference formatting to final plagiarism check, Bigan.net integrates the writing steps originally scattered across multiple tools into a complete pipeline. For those rushing to complete a thesis, instead of running around between various software, it is better to first explore each function module on the official website, find a combination that suits your writing rhythm, and make academic writing more efficient and hassle-free.