Google Trends for Data Mining. Study of Czech Towns View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2013

AUTHORS

Jiří Horák , Igor Ivan , Pavel Kukuliač , Tomáš Inspektor , Branislav Devečka , Markéta Návratová

ABSTRACT

Selected web search engines provide statistics of user activities according to the topics, time and locations. The utilization requires well prepared phrases and searching range. The system of etalons for calibration searching frequencies provided by Google Trends is proposed. It was applied for evaluation of searching names of Czech towns. The regression analysis proved high correlation with population. Highlighted anomalies were explored. K-means cluster analysis enabled a categorization of selected towns. The geographical network analysis of relationships among towns suffers from low quality of locations provided by Google. The discussion includes an overview of main pros and cons of Google Trends and provides recommendations. More... »

PAGES

100-109

References to SciGraph publications

Book

TITLE

Computational Collective Intelligence. Technologies and Applications

ISBN

978-3-642-40494-8
978-3-642-40495-5

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-40495-5_11

DOI

http://dx.doi.org/10.1007/978-3-642-40495-5_11

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1039010201


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", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0806", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information Systems", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Technical University of Ostrava", 
          "id": "https://www.grid.ac/institutes/grid.440850.d", 
          "name": [
            "Institute of Geoinformatics, Faculty of Mining and Geology, VSB \u2013 Technical University of Ostrava, 17. listopadu 15, 708 33\u00a0Ostrava-Poruba, Czech Republic"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hor\u00e1k", 
        "givenName": "Ji\u0159\u00ed", 
        "id": "sg:person.015061123613.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015061123613.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Technical University of Ostrava", 
          "id": "https://www.grid.ac/institutes/grid.440850.d", 
          "name": [
            "Institute of Geoinformatics, Faculty of Mining and Geology, VSB \u2013 Technical University of Ostrava, 17. listopadu 15, 708 33\u00a0Ostrava-Poruba, Czech Republic"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ivan", 
        "givenName": "Igor", 
        "id": "sg:person.014167141246.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014167141246.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Technical University of Ostrava", 
          "id": "https://www.grid.ac/institutes/grid.440850.d", 
          "name": [
            "Institute of Geoinformatics, Faculty of Mining and Geology, VSB \u2013 Technical University of Ostrava, 17. listopadu 15, 708 33\u00a0Ostrava-Poruba, Czech Republic"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kukulia\u010d", 
        "givenName": "Pavel", 
        "id": "sg:person.015151344075.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015151344075.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Technical University of Ostrava", 
          "id": "https://www.grid.ac/institutes/grid.440850.d", 
          "name": [
            "Institute of Geoinformatics, Faculty of Mining and Geology, VSB \u2013 Technical University of Ostrava, 17. listopadu 15, 708 33\u00a0Ostrava-Poruba, Czech Republic"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Inspektor", 
        "givenName": "Tom\u00e1\u0161", 
        "id": "sg:person.010662373535.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010662373535.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Technical University of Ostrava", 
          "id": "https://www.grid.ac/institutes/grid.440850.d", 
          "name": [
            "Institute of Geoinformatics, Faculty of Mining and Geology, VSB \u2013 Technical University of Ostrava, 17. listopadu 15, 708 33\u00a0Ostrava-Poruba, Czech Republic"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Deve\u010dka", 
        "givenName": "Branislav", 
        "id": "sg:person.014234444533.70", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014234444533.70"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Technical University of Ostrava", 
          "id": "https://www.grid.ac/institutes/grid.440850.d", 
          "name": [
            "Institute of Geoinformatics, Faculty of Mining and Geology, VSB \u2013 Technical University of Ostrava, 17. listopadu 15, 708 33\u00a0Ostrava-Poruba, Czech Republic"
          ], 
          "type": "Organization"
        }, 
        "familyName": "N\u00e1vratov\u00e1", 
        "givenName": "Mark\u00e9ta", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1186/1471-2334-10-296", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008683869", 
          "https://doi.org/10.1186/1471-2334-10-296"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0165551511403383", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018499357"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0165551511403383", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018499357"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmp0900702", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025752925"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/iccea.2010.180", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093647618"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013", 
    "datePublishedReg": "2013-01-01", 
    "description": "Selected web search engines provide statistics of user activities according to the topics, time and locations. The utilization requires well prepared phrases and searching range. The system of etalons for calibration searching frequencies provided by Google Trends is proposed. It was applied for evaluation of searching names of Czech towns. The regression analysis proved high correlation with population. Highlighted anomalies were explored. K-means cluster analysis enabled a categorization of selected towns. The geographical network analysis of relationships among towns suffers from low quality of locations provided by Google. The discussion includes an overview of main pros and cons of Google Trends and provides recommendations.", 
    "editor": [
      {
        "familyName": "B\u01cedic\u01ce", 
        "givenName": "Costin", 
        "type": "Person"
      }, 
      {
        "familyName": "Nguyen", 
        "givenName": "Ngoc Thanh", 
        "type": "Person"
      }, 
      {
        "familyName": "Brezovan", 
        "givenName": "Marius", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-642-40495-5_11", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-642-40494-8", 
        "978-3-642-40495-5"
      ], 
      "name": "Computational Collective Intelligence. Technologies and Applications", 
      "type": "Book"
    }, 
    "name": "Google Trends for Data Mining. Study of Czech Towns", 
    "pagination": "100-109", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-642-40495-5_11"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "b9d2c36ad74c18bc3048c6d16248ff02b07f79cd591495db5b4ff32e359ac7d7"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1039010201"
        ]
      }
    ], 
    "publisher": {
      "location": "Berlin, Heidelberg", 
      "name": "Springer Berlin Heidelberg", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-642-40495-5_11", 
      "https://app.dimensions.ai/details/publication/pub.1039010201"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-15T10:36", 
    "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_8659_00000267.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/978-3-642-40495-5_11"
  }
]
 

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.10.1007/978-3-642-40495-5_11'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-40495-5_11'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-40495-5_11'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-40495-5_11'


 

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

122 TRIPLES      23 PREDICATES      31 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-642-40495-5_11 schema:about anzsrc-for:08
2 anzsrc-for:0806
3 schema:author N827bbba346ad480c8b7cdde39aafb748
4 schema:citation sg:pub.10.1186/1471-2334-10-296
5 https://doi.org/10.1056/nejmp0900702
6 https://doi.org/10.1109/iccea.2010.180
7 https://doi.org/10.1177/0165551511403383
8 schema:datePublished 2013
9 schema:datePublishedReg 2013-01-01
10 schema:description Selected web search engines provide statistics of user activities according to the topics, time and locations. The utilization requires well prepared phrases and searching range. The system of etalons for calibration searching frequencies provided by Google Trends is proposed. It was applied for evaluation of searching names of Czech towns. The regression analysis proved high correlation with population. Highlighted anomalies were explored. K-means cluster analysis enabled a categorization of selected towns. The geographical network analysis of relationships among towns suffers from low quality of locations provided by Google. The discussion includes an overview of main pros and cons of Google Trends and provides recommendations.
11 schema:editor N0196ea858a03421a930d316f6786c243
12 schema:genre chapter
13 schema:inLanguage en
14 schema:isAccessibleForFree false
15 schema:isPartOf Nf84d1f82e571465c94f60572eae8f8e0
16 schema:name Google Trends for Data Mining. Study of Czech Towns
17 schema:pagination 100-109
18 schema:productId N015094218fa6460b92734d1360571ef5
19 N064d64c81418434e9f43ceb23cd4b930
20 N3bbb8c3c666f4032a467e97acb78c5a1
21 schema:publisher N0146ad3e1cd0466cb95a686130dc493c
22 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039010201
23 https://doi.org/10.1007/978-3-642-40495-5_11
24 schema:sdDatePublished 2019-04-15T10:36
25 schema:sdLicense https://scigraph.springernature.com/explorer/license/
26 schema:sdPublisher Ne63c8091e94b448e9ba97816e7c582fc
27 schema:url http://link.springer.com/10.1007/978-3-642-40495-5_11
28 sgo:license sg:explorer/license/
29 sgo:sdDataset chapters
30 rdf:type schema:Chapter
31 N0146ad3e1cd0466cb95a686130dc493c schema:location Berlin, Heidelberg
32 schema:name Springer Berlin Heidelberg
33 rdf:type schema:Organisation
34 N015094218fa6460b92734d1360571ef5 schema:name dimensions_id
35 schema:value pub.1039010201
36 rdf:type schema:PropertyValue
37 N0196ea858a03421a930d316f6786c243 rdf:first Nb988a174deff46c0bfe6b6398ee57471
38 rdf:rest Nf990ae64389c45399b4bfca67d2bbe71
39 N064d64c81418434e9f43ceb23cd4b930 schema:name readcube_id
40 schema:value b9d2c36ad74c18bc3048c6d16248ff02b07f79cd591495db5b4ff32e359ac7d7
41 rdf:type schema:PropertyValue
42 N0bf860cc940a48cba9d681c4fcce9b72 rdf:first sg:person.014167141246.41
43 rdf:rest N38fdf2139ef1474ea8b3ea60aac29e52
44 N38fdf2139ef1474ea8b3ea60aac29e52 rdf:first sg:person.015151344075.19
45 rdf:rest N4b5609fdb9d44437bdc7002bd015de46
46 N3bbb8c3c666f4032a467e97acb78c5a1 schema:name doi
47 schema:value 10.1007/978-3-642-40495-5_11
48 rdf:type schema:PropertyValue
49 N4b5609fdb9d44437bdc7002bd015de46 rdf:first sg:person.010662373535.32
50 rdf:rest Nb0442e51673e4c53b28cd4f4b895fc40
51 N6f371e33d3824bc5a8ad323c20fc3a46 rdf:first Nc236e56a38714f68b62eeaca6a2e0822
52 rdf:rest rdf:nil
53 N7d162783e6a048229dbb290084c79fa7 schema:affiliation https://www.grid.ac/institutes/grid.440850.d
54 schema:familyName Návratová
55 schema:givenName Markéta
56 rdf:type schema:Person
57 N827bbba346ad480c8b7cdde39aafb748 rdf:first sg:person.015061123613.29
58 rdf:rest N0bf860cc940a48cba9d681c4fcce9b72
59 Nb0442e51673e4c53b28cd4f4b895fc40 rdf:first sg:person.014234444533.70
60 rdf:rest Nee413e05176d49a0b6004201b93309b0
61 Nb988a174deff46c0bfe6b6398ee57471 schema:familyName Bǎdicǎ
62 schema:givenName Costin
63 rdf:type schema:Person
64 Nc236e56a38714f68b62eeaca6a2e0822 schema:familyName Brezovan
65 schema:givenName Marius
66 rdf:type schema:Person
67 Ne0da4db522a147b7bc3dc034b4d2ee2c schema:familyName Nguyen
68 schema:givenName Ngoc Thanh
69 rdf:type schema:Person
70 Ne63c8091e94b448e9ba97816e7c582fc schema:name Springer Nature - SN SciGraph project
71 rdf:type schema:Organization
72 Nee413e05176d49a0b6004201b93309b0 rdf:first N7d162783e6a048229dbb290084c79fa7
73 rdf:rest rdf:nil
74 Nf84d1f82e571465c94f60572eae8f8e0 schema:isbn 978-3-642-40494-8
75 978-3-642-40495-5
76 schema:name Computational Collective Intelligence. Technologies and Applications
77 rdf:type schema:Book
78 Nf990ae64389c45399b4bfca67d2bbe71 rdf:first Ne0da4db522a147b7bc3dc034b4d2ee2c
79 rdf:rest N6f371e33d3824bc5a8ad323c20fc3a46
80 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
81 schema:name Information and Computing Sciences
82 rdf:type schema:DefinedTerm
83 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
84 schema:name Information Systems
85 rdf:type schema:DefinedTerm
86 sg:person.010662373535.32 schema:affiliation https://www.grid.ac/institutes/grid.440850.d
87 schema:familyName Inspektor
88 schema:givenName Tomáš
89 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010662373535.32
90 rdf:type schema:Person
91 sg:person.014167141246.41 schema:affiliation https://www.grid.ac/institutes/grid.440850.d
92 schema:familyName Ivan
93 schema:givenName Igor
94 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014167141246.41
95 rdf:type schema:Person
96 sg:person.014234444533.70 schema:affiliation https://www.grid.ac/institutes/grid.440850.d
97 schema:familyName Devečka
98 schema:givenName Branislav
99 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014234444533.70
100 rdf:type schema:Person
101 sg:person.015061123613.29 schema:affiliation https://www.grid.ac/institutes/grid.440850.d
102 schema:familyName Horák
103 schema:givenName Jiří
104 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015061123613.29
105 rdf:type schema:Person
106 sg:person.015151344075.19 schema:affiliation https://www.grid.ac/institutes/grid.440850.d
107 schema:familyName Kukuliač
108 schema:givenName Pavel
109 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015151344075.19
110 rdf:type schema:Person
111 sg:pub.10.1186/1471-2334-10-296 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008683869
112 https://doi.org/10.1186/1471-2334-10-296
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1056/nejmp0900702 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025752925
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1109/iccea.2010.180 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093647618
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1177/0165551511403383 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018499357
119 rdf:type schema:CreativeWork
120 https://www.grid.ac/institutes/grid.440850.d schema:alternateName Technical University of Ostrava
121 schema:name Institute of Geoinformatics, Faculty of Mining and Geology, VSB – Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava-Poruba, Czech Republic
122 rdf:type schema:Organization
 




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


...