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opendata_2019-12-03_19-59-21.xlsx (experimental version)
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From:
NodeXLExcelAutomator
Uploaded on:
December 05, 2019
Description:
Description
The graph represents a network of 4,700 Twitter users whose tweets in the requested range contained "opendata", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 04 December 2019 at 04:00 UTC.

The requested start date was Monday, 02 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 5,000.

The tweets in the network were tweeted over the 5-day, 3-hour, 52-minute period from Tuesday, 26 November 2019 at 21:03 UTC to Monday, 02 December 2019 at 00:56 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

The graph is directed.

The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.


Author Description


Overall Graph Metrics
Vertices : 4700
Unique Edges : 6683
Edges With Duplicates : 2325
Total Edges : 9008
Number of Edge Types : 3
Mentions : 7829
Tweet : 951
Replies to : 228
Self-Loops : 951
Reciprocated Vertex Pair Ratio : 0.0490446818113435
Reciprocated Edge Ratio : 0.0935035135522731
Connected Components : 491
Single-Vertex Connected Components : 141
Maximum Vertices in a Connected Component : 2649
Maximum Edges in a Connected Component : 6389
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.778936
Graph Density : 0.000315730372691338
Modularity : 0.718298
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,700 Twitter users whose tweets in the requested range contained "opendata", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 04 December 2019 at 04:00 UTC.

The requested start date was Monday, 02 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 5,000.

The tweets in the network were tweeted over the 5-day, 3-hour, 52-minute period from Tuesday, 26 November 2019 at 21:03 UTC to Monday, 02 December 2019 at 00:56 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : opendata
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[93] https://construyenpais.com/?p=8807
[41] http://wrld.bg/xdI850xlyL6
[36] http://www.milanoscaloromana.it/PM/
[35] https://data.jrc.ec.europa.eu/dataset/8141a398-41a8-42fa-81a4-5b825a51761b
[23] https://www.eventbrite.co.uk/e/outlier-ventures-base-camp-1-demo-day-christmas-drinks-tickets-74840444785?aff=affiliate2
[17] http://www.belspo.be/belspo/openscience/doc/ORDpolicy_Nov2019.pdf
[17] https://datosabiertos.jcyl.es/web/es/datos-abiertos-castilla-leon.html
[15] https://schema.data.gouv.fr/
[14] https://opendata.resas-portal.go.jp/docs/api/v1/index.html
[14] https://twinybots.ch/

Top URLs in Tweet in G1:
[16] https://datosabiertos.jcyl.es/web/es/datos-abiertos-castilla-leon.html
[6] https://datos.gob.es/en/noticia/open-data-real-time
[5] https://data.europa.eu/euodp/en/data/dataset?q=&ext_boolean=all&sort=views_total+desc
[5] https://toolbox.google.com/datasetsearch
[4] https://www.youtube.com/watch?v=C0BQR9IJN4U&feature=youtu.be

[3] https://www.smartcitiesworld.net/news/news/european-cities-share-10-principles-for-using-citizen-data-4814
[3] https://innovadores.larazon.es/es/not/la-startup-espanola-recognai-inteligencia-artificial-datos-premio-data-pitch
[3] https://twitter.com/datosgob/status/1200007010907041792
[3] https://www.europeandataportal.eu/data/#/datasets?locale=en&country=ch
[3] http://opendatalabtgn.cat/ca/2019/11/26/10-12-4a-trobada-daters-apren-a-fer-mapes-i-visors-de-la-ma-dinstamaps/

Top URLs in Tweet in G2:
[15] https://schema.data.gouv.fr/
[5] https://www.latribune.fr/entreprises-finance/industrie/automobile/mobilite-comment-le-mobilty-as-a-service-va-s-imposer-en-france-834086.html
[4] https://www.acteurspublics.fr/articles/la-donnee-comme-gage-dinnovation-dans-les-collectivites
[4] https://www.lagazettedescommunes.com/651850/lopen-data-reste-un-chantier-a-conceptualiser-largement-pour-letat/
[4] https://www.insee.fr/fr/information/4254350
[4] http://www.comptoir-info.com/actualites/4164661?rss
[3] https://www.data.gouv.fr/fr/datasets/barometre-du-numerique/
[3] https://www.data.gouv.fr/fr/datasets/le-marche-du-haut-et-tres-haut-debit-fixe-deploiements/#_
[2] https://www.lagazettedescommunes.com/647231/des-idees-de-nouveaux-services-foisonnent-grace-a-lopen-data/
[2] https://www.mindfintech.fr/article/17151/comment-les-banques-populaires-ont-ouvert-leurs-donnees-grace-a-opendatasoft/

Top URLs in Tweet in G3:
[93] https://construyenpais.com/?p=8807
[12] https://e-learning-teleformacion.blogspot.com/2019/10/tech-e-training-artificial-intelligence.html
[11] https://www.numfocus.org/membership/?utm_source=Twitter&utm_medium=social&utm_campaign=Donor_Quote4
[10] http://www.wiomax.com/what-can-bikeshare-system-data-tell-us-about-corral-service-operations/
[8] https://dittoservices.io/banking-as-a-service-the-5-reasons-for-an-expected-success-in-2020/
[8] https://merconference.com
[8] http://mersapient.com
[7] https://numfocus.salsalabs.org/subscribe
[7] https://www.ey.com/en_gl/banking-capital-markets/why-it-time-for-banks-to-rethink-their-business-models
[6] https://medium.com/@ODSC/garbage-in-garbage-out-automated-machine-learning-begins-with-quality-data-70471cb33748

Top URLs in Tweet in G4:
[8] http://wrld.bg/ibFy50xloIH
[5] https://energydata.info/
[3] http://wrld.bg/uBNX309QQa6
[3] http://wrld.bg/m3d550xk6a0
[2] https://blogs.worldbank.org/opendata/apples-apples-povcalnet-introduces-new-comparability-indicator
[2] https://catalogue.data.govt.nz/dataset/survey-of-public-sector-information-management-2018-19
[2] https://medium.com/@opendatacharter/moving-beyond-transparency-adf8b75a9de7
[2] https://twitter.com/derilinx/status/1199648014886952962
[2] https://oe.cd/oglacnetwork
[2] http://www.oecd.org/gov/the-path-to-becoming-a-data-driven-public-sector-059814a7-en.htm

Top URLs in Tweet in G5:
[12] https://www.luzernerzeitung.ch/wirtschaft/weshalb-zurich-seine-tourismusdaten-offenlegt-ld.1172306
[8] https://www.bundestag.de/presse/hib/665532-665532
[6] http://atmosphere.copernicus.eu
[5] https://www.europeandataportal.eu/data/#/datasets?locale=en&country=ch
[5] https://hack.opendata.ch/project/428
[5] http://offenerhaushalt.at
[4] https://hack.opendata.ch/event/29
[4] http://basemap.at
[3] https://blog.okfn.org/2019/11/08/getting-ready-for-open-data-day-2020-on-saturday-7th-march/
[2] https://data.stadt-zuerich.ch/dataset?q=entsorgungskalender

Top URLs in Tweet in G6:
[9] https://twinybots.ch/
[9] https://www.eventbrite.co.uk/e/outlier-ventures-base-camp-1-demo-day-christmas-drinks-tickets-74840444785?aff=affiliate2
[2] https://www.acteurspublics.fr/articles/la-donnee-comme-gage-dinnovation-dans-les-collectivites
[2] https://blogs.worldbank.org/opendata/half-world-s-poor-live-just-5-countries?cid=SHR_BlogSiteShare_EN_EXT
[2] https://twitter.com/EU_DataPortal/status/1200102086920282113
[2] https://letterabit.com/2019/11/29/mappa-idrografia-valle-del-rio-cavallo/
[2] http://www.datiopen.it/it/search/node/opendata%20OR%20Trentino%20OR%20Alto%20OR%20Adige%20OR%20Idrografi
[2] https://innovative-trends.de/2019/10/16/smart-city-index-2019-von-bitkom-wie-digital-sind-deutschlands-staedte/?uid=1254065
[2] https://opendata.cityofnewyork.us/data/
[2] https://blogs.worldbank.org/opendata/new-hiv-infections-down-40-1998

Top URLs in Tweet in G7:
[36] http://www.milanoscaloromana.it/PM/
[11] https://www.milanopartecipa.com/fcub-progetto-opensource-opendata-openstandard-di-scienza-partecipata-per-il-rilevamento-di-dati-ambientali/
[3] https://twitter.com/infocamere/status/1199349946580791296
[3] https://fcub.milanoscaloromana.it
[2] https://twitter.com/confiscatibene/status/1199605149687320578
[2] http://www.unioncamere.gov.it/P42A4321C542S123/26-11-2019---presentazione-piattaforma-open-data-su-aziende-confiscate-a-mafie.htm
[2] https://www.agendadigitale.eu/cittadinanza-digitale/quando-il-foia-non-funziona-il-caso-dei-dati-audience-di-agcom/
[2] https://www.interno.gov.it/it/notizie/line-piattaforma-open-data-aziende-confiscate
[2] https://medium.com/athenslivegr/whose-home-is-this-f3b45d878b0b
[1] https://www.slideshare.net/dcrespi/2019-11-13-secondo-raduno-rtd-open-data-sul-serio

Top URLs in Tweet in G8:
[2] https://www.openaire.eu/item/open-science-and-research-results-exploitation-friends-or-foes
[1] https://esajournals.onlinelibrary.wiley.com/doi/abs/10.1002/ecy.2936?cookieSet=1
[1] https://esajournals.onlinelibrary.wiley.com/doi/abs/10.1002/ecy.2937?cookieSet=1
[1] https://jamanetwork.com/journals/jama/fullarticle/2756117
[1] https://esajournals.onlinelibrary.wiley.com/doi/abs/10.1002/eap.2046?cookieSet=1
[1] https://esajournals.onlinelibrary.wiley.com/doi/abs/10.1002/eap.2049?cookieSet=1
[1] https://esajournals.onlinelibrary.wiley.com/doi/abs/10.1002/eap.2045?cookieSet=1
[1] https://esajournals.onlinelibrary.wiley.com/doi/abs/10.1002/eap.2042?cookieSet=1
[1] https://esajournals.onlinelibrary.wiley.com/doi/abs/10.1002/eap.2047?cookieSet=1
[1] https://zenodo.org/record/3532940

Top URLs in Tweet in G9:
[3] https://usafacts.org/reports/facts-in-focus/native-american-indian-alaska-native-census-acs?utm_source=twitter&utm_medium=paid&utm_campaign=nativeamerican
[2] https://www.wethepurple.org/thanksgivingtaking
[2] https://usafacts.org/reports/facts-in-focus/how-wealth-distributed-in-america
[1] https://usafacts.org/reports/facts-in-focus/our-veterans-in-data
[1] https://usafacts.org/reports/facts-in-focus/native-american-indian-alaska-native-census-acs
[1] https://bit.ly/2KCW0Uj
[1] https://usafacts.org/reports/facts-in-focus/how-many-wildfires-occur-in-america
[1] https://usafacts.org/reports/facts-in-focus/daca-recipients-dreamers-immigration-supreme-court
[1] https://openthedata.com/us-world-agricultural-production/
[1] http://googletrends.github.io/data/

Top URLs in Tweet in G10:
[9] https://houseprices.io/lidar/SY6690088480/3d
[2] https://pierre-markuse.net/2019/10/22/sentinel-1-sar-data-visualization-in-eo-browser-using-a-custom-script/
[2] https://www.mdpi.com/journal/data/special_issues/EODC
[1] https://www.flickr.com/photo.gne?short=2hSwYCe
[1] https://elevation.fsdf.org.au/
[1] https://twitter.com/YuriShendryk/status/1199589133414367232
[1] https://twitter.com/SPAM_Lab/status/1198988554375970818
[1] https://ags.cuzk.cz/dmr/
[1] https://houseprices.io/lidar/SH6434053320/3d
[1] https://twitter.com/mikewulder/status/1148288476892336129

Top Domains
Top Domains in Tweet in Entire Graph:
[239] twitter.com
[93] construyenpais.com
[79] worldbank.org
[68] wrld.bg
[51] europa.eu
[47] allecijfers.nl
[39] milanoscaloromana.it
[37] youtube.com
[35] zona-m.net
[33] europeandataportal.eu

Top Domains in Tweet in G1:
[22] europeandataportal.eu
[19] twitter.com
[16] gob.es
[16] jcyl.es
[13] europa.eu
[9] scoop.it
[9] barcelona.cat
[6] youtube.com
[5] google.com
[3] smartcitiesworld.net

Top Domains in Tweet in G2:
[25] gouv.fr
[19] twitter.com
[6] lagazettedescommunes.com
[5] latribune.fr
[4] acteurspublics.fr
[4] insee.fr
[4] comptoir-info.com
[4] europa.eu
[3] arcep.fr
[2] angers.fr

Top Domains in Tweet in G3:
[93] construyenpais.com
[35] zona-m.net
[17] merconference.com
[15] numfocus.org
[14] blogspot.com
[10] wiomax.com
[9] mersapient.com
[8] medium.com
[8] ey.com
[8] dittoservices.io

Top Domains in Tweet in G4:
[20] worldbank.org
[18] wrld.bg
[8] twitter.com
[5] energydata.info
[3] oe.cd
[3] webex.com
[2] govt.nz
[2] medium.com
[2] oecd.org
[1] opengovpartnership.org

Top Domains in Tweet in G5:
[24] twitter.com
[15] opendata.ch
[12] luzernerzeitung.ch
[8] bundestag.de
[6] stadt-zuerich.ch
[6] europeandataportal.eu
[6] copernicus.eu
[5] okfn.org
[5] offenerhaushalt.at
[4] basemap.at

Top Domains in Tweet in G6:
[30] twitter.com
[14] worldbank.org
[9] twinybots.ch
[9] co.uk
[6] lg.jp
[3] zenodo.org
[3] cbs.nl
[3] cityofnewyork.us
[2] smh.re
[2] com.au

Top Domains in Tweet in G7:
[39] milanoscaloromana.it
[11] milanopartecipa.com
[10] twitter.com
[7] gov.it
[2] europeandataportal.eu
[2] confiscatibene.it
[2] agendadigitale.eu
[2] medium.com
[1] slideshare.net
[1] sunlightfoundation.com

Top Domains in Tweet in G8:
[7] wiley.com
[5] zenodo.org
[4] twitter.com
[3] openaire.eu
[1] jamanetwork.com
[1] viafirma.do

Top Domains in Tweet in G9:
[9] usafacts.org
[2] wethepurple.org
[1] bit.ly
[1] openthedata.com
[1] github.io

Top Domains in Tweet in G10:
[10] houseprices.io
[3] twitter.com
[2] pierre-markuse.net
[2] mdpi.com
[1] flickr.com
[1] org.au
[1] cuzk.cz
[1] esa.int

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[2642] opendata
[256] bigdata
[209] opensource
[167] openscience
[158] data
[140] datosabiertos
[122] lidar
[118] taiwán
[109] ai
[104] dataviz



Top Hashtags in Tweet in G1:
[307] opendata
[117] datosabiertos
[65] lidar
[64] forestmap
[32] innovadipcas
[30] openscience
[25] aporta2019
[23] dadesobertes
[21] openaccess
[20] innovación

Top Hashtags in Tweet in G2:
[197] opendata
[15] journeedeladonnee
[14] openstreetmap
[11] infographie
[10] osm
[9] sotmafrica2019
[8] dataviz
[8] logicielslibres
[8] afrique
[8] iati

Top Hashtags in Tweet in G3:
[371] opendata
[234] bigdata
[123] opensource
[118] taiwán
[94] 5g
[93] gobernanza
[93] innovaciónsocial
[93] modelodegobernanza
[93] openhardware
[83] ai

Top Hashtags in Tweet in G4:
[130] opendata
[39] climatechange
[37] data
[27] colombia
[23] framework
[23] governments
[14] opengov
[13] digitalgov
[13] opendataconf2019
[12] cali

Top Hashtags in Tweet in G5:
[198] opendata
[37] govcampvie
[28] opendatahackdays
[11] switzerland
[9] feedbackkultur
[9] verwaltung
[9] algorithmenethik
[8] mapping
[8] ogd
[7] lego

Top Hashtags in Tweet in G6:
[104] opendata
[10] blockchain
[9] demoday
[6] openscience
[5] niigata
[5] 新潟
[5] data
[4] opensource
[4] transparency
[4] owl2019

Top Hashtags in Tweet in G7:
[94] opendata
[55] airquality
[50] fcub
[29] fuoricomeunbalcone
[29] opensource
[29] openstandard
[13] legalità
[11] milanopartecipa
[11] confondazionecariplo
[11] comunemilano

Top Hashtags in Tweet in G8:
[42] opendata
[19] new
[7] openscience
[6] fairdata
[5] fair
[5] seed
[4] data
[4] urban
[3] biomass
[3] harvesting

Top Hashtags in Tweet in G9:
[13] opendata
[4] usafacts
[2] democracy
[2] usa
[1] wethepurple
[1] veterans
[1] immigration
[1] wealthtax
[1] daca
[1] openthedata

Top Hashtags in Tweet in G10:
[49] lidar
[24] mexico
[24] opendata
[22] elvis
[9] dorset
[9] hillfortswednesday
[5] fridaylidar
[3] sentinel
[3] remotesensing
[3] czechrepublic

Top Words
Top Words in Tweet in Entire Graph:
[1894] Words in Sentiment List#1: Positive
[863] Words in Sentiment List#2: Negative
[1] Words in Sentiment List#3: Angry/Violent
[110913] Non-categorized Words
[113670] Total Words
[2570] #opendata
[836] data
[450] open
[375] more
[328] datos

Top Words in Tweet in G1:
[306] #opendata
[225] datos
[145] datosgob
[117] #datosabiertos
[86] abiertos
[76] jornada
[72] dipcas
[68] manera
[65] servicio
[65] inventario

Top Words in Tweet in G2:
[165] #opendata
[93] opendata_fr
[47] données
[35] ce
[32] etalab
[32] l'#opendata
[31] par
[30] data
[25] midi
[23] open

Top Words in Tweet in G3:
[371] #opendata
[234] #bigdata
[123] #opensource
[118] #taiwán
[118] busca
[118] opciones
[118] gobierno
[118] abierto
[118] podríamos
[118] imaginar

Top Words in Tweet in G4:
[133] million
[130] #opendata
[121] more
[89] people
[88] worldbank
[65] data
[55] oecdgov
[49] decreased
[47] 2018
[45] nearly

Top Words in Tweet in G5:
[198] #opendata
[64] die
[57] data
[51] daten
[37] open
[37] #govcampvie
[35] opendatazurich
[28] od_acal
[28] #opendatahackdays
[27] stellt

Top Words in Tweet in G6:
[103] #opendata
[38] data
[19] open
[12] more
[11] day
[10] #blockchain
[10] infections
[9] outlier
[9] ventures
[9] base

Top Words in Tweet in G7:
[92] #opendata
[62] pm2
[61] 11
[55] rh
[55] #airquality
[55] very
[55] poor
[55] pm1
[55] μg
[55] m3

Top Words in Tweet in G8:
[42] #opendata
[19] pablooterot
[19] #new
[19] esaapplications
[18] datos
[13] datadryad
[12] esaecology
[12] zenodo_org
[12] openaire_eu
[11] data

Top Words in Tweet in G9:
[116] identifying
[90] usafacts
[68] more
[65] 2018
[65] american
[63] native
[63] people
[58] racially
[57] alone
[55] estimated

Top Words in Tweet in G10:
[49] data
[49] #lidar
[48] over
[26] 2019
[24] back
[24] quick
[24] one
[24] start
[24] popocatépetl
[24] stratovolcano

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[166] open,data
[119] gobierno,abierto
[118] #taiwán,busca
[118] busca,opciones
[118] opciones,gobierno
[118] abierto,podríamos
[118] podríamos,imaginar
[118] imaginar,alguien
[118] alguien,tuviera
[118] tuviera,idea

Top Word Pairs in Tweet in G1:
[82] datos,abiertos
[65] inventario,forestal
[64] #forestmap,servicio
[64] servicio,web
[64] web,permite
[64] permite,calcular
[64] calcular,inventario
[64] forestal,manera
[64] manera,automática
[64] automática,utilizando

Top Word Pairs in Tweet in G2:
[18] opendata_fr,cet
[17] d',opendata_fr
[15] open,data
[15] j'interviens,economie_gouv
[15] economie_gouv,cadre
[15] cadre,#journeedeladonnee
[15] #journeedeladonnee,etalab
[15] etalab,présente
[14] antoineaugusti,j'interviens
[14] après,midi

Top Word Pairs in Tweet in G3:
[118] #taiwán,busca
[118] busca,opciones
[118] opciones,gobierno
[118] gobierno,abierto
[118] abierto,podríamos
[118] podríamos,imaginar
[118] imaginar,alguien
[118] alguien,tuviera
[118] tuviera,idea
[118] idea,favorecer

Top Word Pairs in Tweet in G4:
[41] number,people
[41] people,newly
[41] newly,infected
[41] infected,hiv
[41] hiv,each
[41] each,year
[41] nearly,million
[41] million,1998
[41] 1998,million
[39] year,decreased

Top Word Pairs in Tweet in G5:
[23] open,data
[15] die,daten
[12] weshalb,visitzurich
[12] visitzurich,seine
[12] seine,tourismusdaten
[12] tourismusdaten,allen
[12] allen,#opendata
[12] #opendata,verfügung
[12] verfügung,stellt
[12] stellt,die

Top Word Pairs in Tweet in G6:
[13] open,data
[9] outlier,ventures
[9] ventures,base
[9] base,camp
[9] camp,demo
[9] demo,day
[9] day,christmas
[9] christmas,drinks
[5] 新着情報,オープンデータ
[5] #niigata,#新潟

Top Word Pairs in Tweet in G7:
[55] #airquality,very
[55] very,poor
[55] poor,pm1
[55] μg,m3
[55] m3,pm10
[50] 100,rh
[50] 11,2019
[49] aziende,confiscate
[43] sulle,aziende
[29] #fcub,#fuoricomeunbalcone

Top Word Pairs in Tweet in G8:
[12] #new,esaapplications
[12] esaapplications,#opendata
[11] cuestan,datos
[11] datos,científicos
[11] científicos,verdad
[11] verdad,tratamos
[11] tratamos,merecen
[11] merecen,mañana
[11] mañana,toca
[11] toca,darle

Top Word Pairs in Tweet in G9:
[63] native,american
[61] people,identifying
[58] identifying,racially
[58] racially,native
[55] 2018,estimated
[55] estimated,8m
[55] 8m,people
[55] american,alone
[55] alone,9m
[55] 9m,more

Top Word Pairs in Tweet in G10:
[24] back,quick
[24] quick,one
[24] one,start
[24] start,popocatépetl
[24] popocatépetl,stratovolcano
[24] stratovolcano,#mexico
[24] #mexico,28
[24] 28,november
[24] november,2019
[24] 2019,enh

Top Replied-To
Top Replied-To in Entire Graph:
@win_opendata
@turinginst
@ecdc_eu
@projectgreco
@corevih_alpin
@opendata_od
@jedsundwall
@edtubb
@antoineaugusti
@krabina

Top Replied-To in G1:
@redfemp_typ
@datosgob
@vonderleyen
@h_enriquecrespo
@hoyextremadura
@ocorcho
@ebpal
@niemihugaerts
@o_goov

Top Replied-To in G2:
@opendata_fr
@antoineaugusti
@dirkmjk_data
@27_jerbo
@departement974
@lprodocmtp3
@lcomparat
@le_gorafi
@joinup_eu
@xdurang

Top Replied-To in G3:
@projectgreco
@stevenlowette
@varun2210anand
@asedie_
@prefet59
@1crebeca
@francesca_bria
@annieblandin

Top Replied-To in G4:
@pdesrochers
@sboots
@jemi_lacle

Top Replied-To in G5:
@krabina
@cdu
@opendatazh
@od_acal
@lisa_bikermite
@taraustralis
@bobbluebottle
@doktorz
@gerd_buziek
@karmageddon67

Top Replied-To in G7:
@gpirrotta
@ascuoladioc

Top Replied-To in G8:
@turinginst

Top Replied-To in G10:
@cityofasheville

Top Mentioned
Top Mentioned in Entire Graph:
@datosgob
@worldbank
@usafacts
@opendata_fr
@banquemondiale
@mkeulemans
@dipcas
@eu_dataportal
@mgarrigap
@oecdgov

Top Mentioned in G1:
@datosgob
@dipcas
@mgarrigap
@desidedatum
@nuriaespuny
@novagob
@eu_dataportal
@aabella
@oeg_upm
@ocorcho

Top Mentioned in G2:
@opendata_fr
@etalab
@villeavignon
@arcep
@economie_gouv
@paulaforteza
@lcomparat
@avignon
@antoineaugusti
@datagouvfr

Top Mentioned in G3:
@dinisguarda
@ferbeltranmx
@numfocus
@nicolas2pinto
@andi_staub
@ipfco
@merconference
@iotforall
@pydata
@odileeds

Top Mentioned in G4:
@worldbank
@oecdgov
@derilinx
@ngireland
@a_riverap
@worldbankdata
@oecd
@opendatacharter
@opengovpart
@opendatanz

Top Mentioned in G5:
@opendatazurich
@od_acal
@datagvat
@robertharm
@copernicuseu
@gov20campat
@visitzurich
@opendatazh
@okfn
@eu_dataportal

Top Mentioned in G7:
@unioncamere
@infocamere
@viminale
@confiscatibene
@gpirrotta
@copernlcanl
@dblp_org
@robre62
@nelsonmau
@apogeonline

Top Mentioned in G8:
@pablooterot
@datadryad
@zenodo_org
@esaapplications
@openaire_eu
@movebankteam
@esaecology
@oscibio
@eosc_eu
@ieovigo

Top Mentioned in G9:
@usafacts
@joinwethepurple
@smfrogers

Top Mentioned in G10:
@pierre_markuse
@yurishendryk
@lastools
@houseprices_io
@envagencygeomat
@mikewulder
@natreswales
@prefsp
@datosgob
@esa_eo

Top Tweeters
Top Tweeters in Entire Graph:
@sectest9
@paoloigna1
@robre62
@nosqldigest
@pypi_updates2
@biofares
@chidambara09
@john1966olsen
@aldoceccarelli
@marieproia

Top Tweeters in G1:
@el_pais
@eleconomistaes
@eldiarioes
@elconfidencial
@mig30m6
@hoyextremadura
@bicicleto_zgz
@bagaluesunab
@elperiodic
@touchme4youle

Top Tweeters in G2:
@dupouvoirdachat
@ouestfrance
@annek993
@manojmayogi
@fabkaforza
@digest_ec_cac
@bondparkerbond
@scilib
@cityofvancouver
@leicester_news

Top Tweeters in G3:
@nosqldigest
@chidambara09
@eraser
@fintechna
@calcaware
@akwyz
@construyenpais
@andrewmorrisuk
@arquitectosvzla
@mundo_municipal

Top Tweeters in G4:
@olumideidowu
@julietkego
@sakak
@carlosruz_f
@egomezislas
@habbash
@worldcitizen1st
@vinkyenkyehene
@gbudhathoki
@tebenas

Top Tweeters in G5:
@john1966olsen
@markplackett1
@sms2sms
@jacobussystems
@enriquen
@presroi
@karmageddon67
@bbbcccnnn
@holgerscherer
@tagesanzeiger

Top Tweeters in G6:
@pypi_updates2
@hiv_insight
@surlyurbanist
@aichidb
@dussri
@jalalsamiee
@letterabit_
@euscicomm
@robinyearsley
@vizworld

Top Tweeters in G7:
@paoloigna1
@robre62
@hunthertornado
@agenzia_ansa
@adm_assdemxmi
@cciaarivlig
@morenaragone
@piersoft
@falcionellifede
@giuseppeguerin1

Top Tweeters in G8:
@phosphoria31
@kikollan
@ferli90
@harvard
@envpolicycenter
@_opendata
@rschon
@plosone
@esa_org
@nercscience

Top Tweeters in G9:
@marieproia
@micjojd
@gradyslady
@d_roneal
@drlindashelton
@notgeauxgabby
@ithinkitscatchy
@michcorsilles
@meganhswanson
@jo_kasprzak

Top Tweeters in G10:
@gabe55gabe
@factozoidal
@northwalescom
@bcwildfirewkly
@bcquakehelp
@nealshepperson
@eric_vanpraag
@iantsaoir
@rebecca52731232
@stracma