1. Google Scholar, ShareLaTeX, and Gephi
Ralucca Gera,
Applied Mathematics Dept. Naval Postgraduate School Monterey, California
Excellence Through Knowledge

2. ShareLaTeX (https://www.sharelatex.com/)
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3. ShareLaTeX Free: https://www.sharelatex.com?r=22fbe723&rm=d&rs=b
Documentation:
“ShareLaTeX is a web-based real-time collaborative (like GoogleDocs) LaTeX editor (no need of LaTeX on your machine)”
“includes the editor, the project and document storage, and the backend LaTeX compiler”

4. ShareLaTeX Templates
Blog:
Templates for bibliographies:
Templates for presentations:

5. Try it!
Synch it with the Dropbox and GitHub(the dropbox account must use the same addressed use to create the sharelatex account):
Click Account on the upper right on the main site
Account settings
Log in
Dropbox Integration

6. Google Scholar (https://scholar.google.com/)
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7. Google Scholar’s goals
It enables searches of scholarly literature (scholarly publications, abstracts, books…).
Easy to use (same familiar search bar as Google, but results are limited to scholarly resources).
Contains links to the article’s PDF, Postscript, HTML format.
Easy to view key information about articles: “cited by”, “related articles” and so on.
Easy to export citation to LaTeX that can be used for any research formatting style.

8. Historical background
Google Scholar was released (in beta) in 2004
Not the first freely available citation database (CiteSeer, Scirus, etc)
Not subject specific
Many use it as a viable alternative to traditional citation databases such as Web of Science, since:
Easy of use (free, no account needed)
Extensive coverage of articles
Encodes wide range of metrics about articles/authors
However metrics are not perfect (data base is not complete, some duplications exist, algorithms used)

9. Features of Google Scholar
Searches all scholarly literature from one convenient place
Explores related works, citations, authors, and publications
Locates the complete document through your library or on the web
Keeps up with recent developments in any area of research
Checks who's citing your publications, creates a public author profile (if you get an account)
Source:

10. How are documents ranked?
“Google Scholar aims to rank documents the way researchers do,
weighing the full text of each document,
where it was published,
who it was written by,
as well as how often and how recently it has been cited in other scholarly literature. “
Source:

11. Use “Advanced Search”

12. Google Scholar – Advanced Search

13. Google scholar - Metrics

14. Google Scholar – Advanced Search

15. H-index of a scientist from wikipedia
“a scholar with an index of h has published h papers each of which has been cited in other papers at least h times” .
Source:

16. Google Scholar Available Metrics
The h-index of a publication is the largest number h such that at least h articles in that publication were cited at least h times each. For example, a publication with five articles cited by, respectively, 17, 9, 6, 3, and 2, has the h-index of 3.
Source:

17. Google Scholar Available Metrics
The h-core of a publication is a set of top cited h articles from the publication. These are the articles that the h-index is based on. For example, the publication above has the h-core with three articles, those cited by 17, 9, and 6 in the list 17, 9, 6, 3, and 2 with the h-index 3.
Source:

18. Google Scholar Available Metrics
The h-median of a publication is the median of the citation counts in its h-core. For the example before, the h-median of the publication was 9 (recall the references are 17, 9, 6, 3, and 2 times, of which17, 9, 6 are in the k-core).
The h-median is a measure of the distribution of citations to the articles in the h-core.
Source:

19. Google Scholar Available Metrics
Finally, the h5-index, h5-core, and h5-median of a publication are, respectively, the h-index, h-core, and h-median of the articles that were published in the last five complete calendar years.
Source:

20. Practice for the research publication
Try Google Scholar now!

21. Gephi Overview (https://gephi.org/)
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22. Resources for Gephi:
Overview and explanations of Gephi
Gephi’s overview tutorial
An introductory video to create data for Gephi and to use degree, closeness and betweeness (also posted on the website unde today’s lecture).
Gephi’s overview of layouts
Basic navigation

23. Layout choices (install plugins for more):
Layouts
Layout choices (install plugins for more):
Force directed (repulsion) ones:
Force Atalas 2 (It is focused on being useful to explore and get meaning for real data, and a good readability, slow)
Yifan Hu (similar to FA2, fast, good for large graphs)
Fruchterman-Reingold (The nodes are the mass particles and the edges are springs between the particles. The algorithms try to minimize the energy of this physical system. It has become a standard but remains very slow.)
OpenOrd layout (good for communities)
Not force directed:
Expansion
Geographic map with GeoLayout

24. Cannot use undo in Gephi
SAVE
Once you have a visualization that you like, save the network, so that the next time you open it looks the same
Cannot use undo in Gephi
When you run an analysis, save the network again with a different name for future references
When you open part of a network on a new tab in Gephi, save that as well.

25. Preview Tab
Click Preview next to the Data Laboratory, you might like that view of the network better:
If you export, then this is what you export:

26. Ranking nodes based on a statistic
Once you ran a statistic (say degree) => size/color the nodes based on the ran statistic.
Under on the top left, choose Nodes and either size or color
Depending on the version you run, you will see:

27. Filtering nodes based on a statistic
Find Filters on the top right, next to Statistics
Under topology, you can find the centralities
Choose one, drag and drop it to the Queries
Choose the bounds needed.

28. Take a screen shot using Snipping Tool, or
Export
Take a screen shot using Snipping Tool, or
Export the visualized graph as SVG or PDF:
Go to preview (fix if needed)
Resize for large networks
Click SVG (SVG is vectorial graphics like PDF so they scale to different sizes nicely)

29. Other statistics
Average path length: under the statics module, right
Computes the average of shortest paths between all pairs of nodes
Result:

30. Try Gephi Now!