Inferring network connectivity using kinetic Ising models View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2010-07

AUTHORS

John A Hertz, Yasser Roudi, Andreas Thorning, Joanna Tyrcha, Erik Aurell, Hong-Li Zeng

ABSTRACT

N/A

PAGES

p51

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1471-2202-11-s1-p51

DOI

http://dx.doi.org/10.1186/1471-2202-11-s1-p51

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1044968441


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "author": [
      {
        "affiliation": {
          "alternateName": "Nordic Institute for Theoretical Physics", 
          "id": "https://www.grid.ac/institutes/grid.450306.4", 
          "name": [
            "Niels Bohr Institute, Copenhagen University, 2100, Copenhagen \u00d8, Denmark", 
            "Nordita, 106 91, Stockholm, Sweden"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hertz", 
        "givenName": "John A", 
        "id": "sg:person.01131227474.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01131227474.09"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nordic Institute for Theoretical Physics", 
          "id": "https://www.grid.ac/institutes/grid.450306.4", 
          "name": [
            "Nordita, 106 91, Stockholm, Sweden"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Roudi", 
        "givenName": "Yasser", 
        "id": "sg:person.01013354466.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01013354466.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Copenhagen", 
          "id": "https://www.grid.ac/institutes/grid.5254.6", 
          "name": [
            "Niels Bohr Institute, Copenhagen University, 2100, Copenhagen \u00d8, Denmark"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Thorning", 
        "givenName": "Andreas", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Stockholm University", 
          "id": "https://www.grid.ac/institutes/grid.10548.38", 
          "name": [
            "Institute of Mathematics, Stockholm University, 106 91, Stockholm, Sweden"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tyrcha", 
        "givenName": "Joanna", 
        "id": "sg:person.01127650167.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01127650167.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Aalto University", 
          "id": "https://www.grid.ac/institutes/grid.5373.2", 
          "name": [
            "Department of Computational Biology, Royal Institute of Technology, 106 91, Stockholm, Sweden", 
            "Department of Information and Computer Science, Helsinki University of Technology, 02015, TKK Espoo, Finland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Aurell", 
        "givenName": "Erik", 
        "id": "sg:person.01104576776.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01104576776.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Aalto University", 
          "id": "https://www.grid.ac/institutes/grid.5373.2", 
          "name": [
            "Department of Applied Physics, Helsinki University of Technology, 02015, TKK Espoo, Finland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zeng", 
        "givenName": "Hong-Li", 
        "id": "sg:person.01057722140.92", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057722140.92"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1103/physreve.79.051915", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012948983"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.79.051915", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012948983"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/neuro.10.022.2009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016445020"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1162/neco.2009.06-08-806", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042115122"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2010-07", 
    "datePublishedReg": "2010-07-01", 
    "genre": "non_research_article", 
    "id": "sg:pub.10.1186/1471-2202-11-s1-p51", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1024257", 
        "issn": [
          "1471-2202"
        ], 
        "name": "BMC Neuroscience", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "Suppl 1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "11"
      }
    ], 
    "name": "Inferring network connectivity using kinetic Ising models", 
    "pagination": "p51", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "d633154873afbe1f67d0a80294d0d758ef8322623cdde04070e573209143c325"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1471-2202-11-s1-p51"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1044968441"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1471-2202-11-s1-p51", 
      "https://app.dimensions.ai/details/publication/pub.1044968441"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T19:56", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8681_00000507.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1471-2202-11-S1-P51"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/1471-2202-11-s1-p51'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1471-2202-11-s1-p51'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1471-2202-11-s1-p51'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1471-2202-11-s1-p51'


 

This table displays all metadata directly associated to this object as RDF triples.

106 TRIPLES      19 PREDICATES      27 URIs      18 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1471-2202-11-s1-p51 schema:author Nf143524c41e84ccab7a7751716343010
2 schema:citation https://doi.org/10.1103/physreve.79.051915
3 https://doi.org/10.1162/neco.2009.06-08-806
4 https://doi.org/10.3389/neuro.10.022.2009
5 schema:datePublished 2010-07
6 schema:datePublishedReg 2010-07-01
7 schema:genre non_research_article
8 schema:inLanguage en
9 schema:isAccessibleForFree true
10 schema:isPartOf N4c54f38619a4432b9bcc511ba1fb575c
11 N713a25decdd54523bba1829cc6c9aba9
12 sg:journal.1024257
13 schema:name Inferring network connectivity using kinetic Ising models
14 schema:pagination p51
15 schema:productId N32e836ca16074aaaba2c351d4157f931
16 N57af4ee6873d451a8621e8ffb135f37a
17 Necd54a19b8a649ff937d78df58da31ad
18 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044968441
19 https://doi.org/10.1186/1471-2202-11-s1-p51
20 schema:sdDatePublished 2019-04-10T19:56
21 schema:sdLicense https://scigraph.springernature.com/explorer/license/
22 schema:sdPublisher N36a2a746f4da48e1b5e1615ca94b2e37
23 schema:url http://link.springer.com/10.1186%2F1471-2202-11-S1-P51
24 sgo:license sg:explorer/license/
25 sgo:sdDataset articles
26 rdf:type schema:ScholarlyArticle
27 N31b776b1f4ae410fac5e697486466906 rdf:first sg:person.01013354466.44
28 rdf:rest N5c7ff7fe401e4d9e8df6fcb4d2c968d8
29 N32e836ca16074aaaba2c351d4157f931 schema:name readcube_id
30 schema:value d633154873afbe1f67d0a80294d0d758ef8322623cdde04070e573209143c325
31 rdf:type schema:PropertyValue
32 N36a2a746f4da48e1b5e1615ca94b2e37 schema:name Springer Nature - SN SciGraph project
33 rdf:type schema:Organization
34 N4c54f38619a4432b9bcc511ba1fb575c schema:issueNumber Suppl 1
35 rdf:type schema:PublicationIssue
36 N57af4ee6873d451a8621e8ffb135f37a schema:name doi
37 schema:value 10.1186/1471-2202-11-s1-p51
38 rdf:type schema:PropertyValue
39 N5c7ff7fe401e4d9e8df6fcb4d2c968d8 rdf:first Nd7e5154051fc463ba071c8d300b5485f
40 rdf:rest Nd965a7c81794494c9f555723d8d01bda
41 N713a25decdd54523bba1829cc6c9aba9 schema:volumeNumber 11
42 rdf:type schema:PublicationVolume
43 N81e014b2fe544c39924d67184409cd15 rdf:first sg:person.01057722140.92
44 rdf:rest rdf:nil
45 Ncd216e5ac15647d88c3cd78b99689f96 rdf:first sg:person.01104576776.49
46 rdf:rest N81e014b2fe544c39924d67184409cd15
47 Nd7e5154051fc463ba071c8d300b5485f schema:affiliation https://www.grid.ac/institutes/grid.5254.6
48 schema:familyName Thorning
49 schema:givenName Andreas
50 rdf:type schema:Person
51 Nd965a7c81794494c9f555723d8d01bda rdf:first sg:person.01127650167.03
52 rdf:rest Ncd216e5ac15647d88c3cd78b99689f96
53 Necd54a19b8a649ff937d78df58da31ad schema:name dimensions_id
54 schema:value pub.1044968441
55 rdf:type schema:PropertyValue
56 Nf143524c41e84ccab7a7751716343010 rdf:first sg:person.01131227474.09
57 rdf:rest N31b776b1f4ae410fac5e697486466906
58 sg:journal.1024257 schema:issn 1471-2202
59 schema:name BMC Neuroscience
60 rdf:type schema:Periodical
61 sg:person.01013354466.44 schema:affiliation https://www.grid.ac/institutes/grid.450306.4
62 schema:familyName Roudi
63 schema:givenName Yasser
64 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01013354466.44
65 rdf:type schema:Person
66 sg:person.01057722140.92 schema:affiliation https://www.grid.ac/institutes/grid.5373.2
67 schema:familyName Zeng
68 schema:givenName Hong-Li
69 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057722140.92
70 rdf:type schema:Person
71 sg:person.01104576776.49 schema:affiliation https://www.grid.ac/institutes/grid.5373.2
72 schema:familyName Aurell
73 schema:givenName Erik
74 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01104576776.49
75 rdf:type schema:Person
76 sg:person.01127650167.03 schema:affiliation https://www.grid.ac/institutes/grid.10548.38
77 schema:familyName Tyrcha
78 schema:givenName Joanna
79 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01127650167.03
80 rdf:type schema:Person
81 sg:person.01131227474.09 schema:affiliation https://www.grid.ac/institutes/grid.450306.4
82 schema:familyName Hertz
83 schema:givenName John A
84 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01131227474.09
85 rdf:type schema:Person
86 https://doi.org/10.1103/physreve.79.051915 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012948983
87 rdf:type schema:CreativeWork
88 https://doi.org/10.1162/neco.2009.06-08-806 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042115122
89 rdf:type schema:CreativeWork
90 https://doi.org/10.3389/neuro.10.022.2009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016445020
91 rdf:type schema:CreativeWork
92 https://www.grid.ac/institutes/grid.10548.38 schema:alternateName Stockholm University
93 schema:name Institute of Mathematics, Stockholm University, 106 91, Stockholm, Sweden
94 rdf:type schema:Organization
95 https://www.grid.ac/institutes/grid.450306.4 schema:alternateName Nordic Institute for Theoretical Physics
96 schema:name Niels Bohr Institute, Copenhagen University, 2100, Copenhagen Ø, Denmark
97 Nordita, 106 91, Stockholm, Sweden
98 rdf:type schema:Organization
99 https://www.grid.ac/institutes/grid.5254.6 schema:alternateName University of Copenhagen
100 schema:name Niels Bohr Institute, Copenhagen University, 2100, Copenhagen Ø, Denmark
101 rdf:type schema:Organization
102 https://www.grid.ac/institutes/grid.5373.2 schema:alternateName Aalto University
103 schema:name Department of Applied Physics, Helsinki University of Technology, 02015, TKK Espoo, Finland
104 Department of Computational Biology, Royal Institute of Technology, 106 91, Stockholm, Sweden
105 Department of Information and Computer Science, Helsinki University of Technology, 02015, TKK Espoo, Finland
106 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...