COOC9.94 is a software used for bibliometrics and knowledge mapping.

Insert image description here
Insert image description here

COOC software has served a total of 100,000+ users, and each paper can save scientific researchers 96+ hours on average!

This software is not limited to the field of bibliometrics, it supports any discipline and any form of data! ! ! It is suitable for undergraduates, master's and doctoral students, teachers, librarians, intelligence analysts and people interested in data analysis, data mining and data visualization.

The software has excellent performance in terms of accuracy, functionality, and operation, and can complete many functions that knowledge graph software cannot.

For example: in previous paper writing or project reports, I made a multi-database deduplication, co-occurrence matrix, word matrix, two-mode matrix, similarity matrix, community clustering map, system clustering, bi-clustering, word cloud diagram, and adjacency list. , dissimilarity matrix, author, institution, keyword changes year by year, topic evolution path, etc. [PS. There are many functions, which will not be listed. The specific functions are described later] It takes one day, one week, or even one month or more for novices. more time.

But using the software COOC, you will realize that method is more important than hard work.

Good tools will help you get twice the result with half the effort. What originally took a day’s work now only takes one second.

In addition, the software can process multiple databases at the same time, such as China National Knowledge Infrastructure CNKI, Wanfang, VIP, CSSCI, SinoMed, Web of Science, Pubmed, EI, Scopus, ScienceDirect database

And it can deduplicate multiple databases at the same time, including mixed Chinese and English deduplication. It is so powerful!

At the same time, the software has powerful functions in the data preprocessing module, which can merge synonyms in batches and delete meaningless words!

At the same time, the software can easily convert between various data formats: such as co-occurrence matrix to adjacency list, two-mode matrix to adjacency list, adjacency list to undirected net file, adjacency list to directed net file, etc.!

In a word: using COOC software, you will realize that method is more important than hard work.

Good tools will help you get twice the result with half the effort. What originally took a day’s work now only takes one second.

The software interface is as follows:

picture

COOC software features:

1-Comprehensive extraction of CNKI, Wanfang, VIP, CSSCI, SinoMed, Web of Science, Pubmed, EI, Scopus, ScienceDirect databases

2-Chinese (multiple) database deduplication and cleaning

3-Web of Science database deduplication and cleaning

4- Comprehensive deduplication and cleaning of multiple databases, including mixed deduplication and cleaning of Chinese and English

5-Remove word emphasis

6-Multiple database synonyms are merged in batches and invalid words are deleted in batches

7-Frequency statistics

8-Distribution of publication years

9-(Author, institution, keywords, journal, country, etc.) bar chart, tree chart, word cloud chart, pie chart, rose chart, radar chart

10- Visualize the frequency changes of keywords, authors, institutions, countries, journals, etc. year by year (year by year bar chart, year by year tree chart, year by year scatter chart, year by year radar chart, year by year rose chart, year by year word cloud chart)

11-Chinese and English co-occurrence matrix (keywords, authors, institutions, countries, etc.)

12 English matrix case conversion (keywords, authors, institutions, countries, etc.)

13-Dissimilarity matrix

14 cosine similarity matrix

15 Correlation Matrix

16-Euclidean matrix, matrix standardization

17-Chapter Matrix: Author Matrix/Organization Matrix/Country Matrix…

18-Two-mode matrix, suitable for bibliometrics and knowledge graphs, as well as two-mode networks for director relationship networks, trade, logistics, geography and other disciplines

19-Coupling Matrix: Topic-based coupling matrix

20-field combination

21-Adjacency list

22-Co-occurrence matrix to adjacency list

23-Convert two-module matrix to adjacency list

24-Adjacency list to directed net

25-Adjacency list to undirected net

26-Confusion matrix diagram (correlation analysis matrix diagram)

27-Co-occurrence graph, cooperation network graph

28-Community clustering diagram

29-System cluster diagram

30-Bicluster plot

31-Cumulative topic evolution path diagram (time zone diagram)

32-Weighted topic evolution path diagram

33-Journal query

34-Automatic generation of reference citation formats for Web of Science and Pubmed databases

35-Identify core authors

36-Identify high-frequency words

Guess you like

Origin blog.csdn.net/qq_39974284/article/details/121317451