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TomDemeranville / DOItoISSN.py
Last active December 20, 2019 11:50
import urllib.request
import json
url = 'https://doi.org/10.1038/s41586-019-1863-2'
headers = {'Accept': 'application/citeproc+json'}
req = urllib.request.Request(url, {}, headers)
with urllib.request.urlopen(req) as response:
doi_metadata = response.read()
doi_json = json.loads(doi_metadata)
print(doi_json["ISSN"])
@TomDemeranville
TomDemeranville / index.txt
Last active October 24, 2015 22:47
Modeling the claims store using Neo4j
= Modeling the claims store using Neo4j
First, let's add some items to the store. One of the DOIs has two ORCIDs in its metadata.
//setup
[source,cypher]
----
CREATE (doi1:output {name:'10.123/abcd'})
CREATE (orcid1:person {name:'0000-1111-1111-1111'})
CREATE (doi2:output {name:'10.123/efgh'})
CREATE (doi1)-[:CreatedBy]->(orcid1)
@TomDemeranville
TomDemeranville / gist:c960d4bf42a636516518
Last active August 29, 2015 14:23 — forked from kbastani/gist:4471127413fd724ed0a3
= Exploring the ORCiD graph
:neo4j-version: 2.2.0
:author: Kenny Bastani
:twitter: @kennybastani
:description: Graph database access control, entitlements, authorization solutions
:tags: domain:finance, use-case:access-control
This interactive Neo4j graph examines how ORCiD could be represented as a property graph and the advantages of doing so
'''
@TomDemeranville
TomDemeranville / doi-prefixes.csv
Created January 29, 2014 23:09 — forked from hubgit/doi-prefixes.csv
10.1002 Wiley Blackwell (John Wiley & Sons) 111 River Street Hoboken, NJ 07030 USA
10.1155 Hindawi Publishing Corporation Nasr City Free Zone Cairo, 11816 Egypt
10.1142 World Scientific No 5 Toh Tuck Link 596224 Singapore
10.1111 Wiley Blackwell (Blackwell Publishing) 111 River Street Hoboken, NJ 07030 USA
10.3109 Informa UK (Informa Healthcare)
10.1007 Springer-Verlag Van Godewijckstraat 30 Dordrecht, GX 3311 The Netherlands
10.1016 Elsevier 360 Park Ave South New York, NY 10010 USA
10.3402 Co-Action Publishing Haggebyholmsvagen 5 Balsta, 74694 Sweden
10.1017 Cambridge University Press The Edinburgh Bldg Shaftesbury Rd Cambridge, CB2 2RU UK
10.1080 Informa UK (Taylor & Francis) 4 Park Square Milton Park, Abingdon, OXON OX14 4RN UK
@TomDemeranville
TomDemeranville / doi-prefix-publishers.csv
Created January 29, 2014 23:09 — forked from hubgit/doi-prefix-publishers.csv
prefix publisher journals dois
10.12679 0 0
10.7579 123Doc Education 0 0
10.3731 21st Century COE Program (Toplogical Science and Technology) 1 40
10.5775 A. I. Rosu Cultural Scientific Foundation Fundatia cultural-stiintifica A. I. Rosu 1 80
10.4037 AACN Publishing 2 766
10.1306 AAPG/Datapages 4 21817
10.3183 AB Svensk Papperstidning 1 1550
10.5769 ABEAT - Associacao Brasileira de Especialistas em Alta Tecnologia 1 57
10.7597 ACOPIOS - Revista Iberica de Mineralogia 1 9
@TomDemeranville
TomDemeranville / gist:7009250
Created October 16, 2013 15:10
JUnit test and Demonstration of Jackson @JsonAnyGetter annotation
import java.util.Map;
import java.util.TreeMap;
import org.junit.Test;
import com.fasterxml.jackson.annotation.JsonAnyGetter;
import com.fasterxml.jackson.annotation.JsonProperty;
import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.ObjectMapper;
@TomDemeranville
TomDemeranville / README.md
Last active December 14, 2015 04:39

##simple d3.js graph ###add nodes with a click.

(cheers to mike bostock!)

@TomDemeranville
TomDemeranville / README.md
Created February 8, 2013 09:54 — forked from emeeks/README.md

The range sliders at the top change the values for the force-directed algorithm and the buttons load new graphs and apply various techniques. This will hopefully serve as a tool for teaching network analysis and visualization principles during my Gephi courses and general Networks in the Humanities presentations.

Notice this includes a pretty straightforward way to load CSV node and edge lists as exported from Gephi.

It also includes a pathfinding algorithm built for the standard data structure of force-directed networks in D3. This requires the addition of .id attributes for the nodes, however.

Now with Clustering Coefficients!

Also, it loads images for nodes but the images are not in the gist. The code also refers to different network types but the data files on Gist only refer to the transportation network.