opendata (corona OR coronavirus OR covid OR covid-19 OR covid19 OR covid_19 OR covid2019 OR ncov OR ncov19 OR ncov2019 OR 2019ncov OR cov-2 OR sars-cov OR sarscov2), Twitter, 4/7/2020 9:39:59 AM, 224547


FAQ | Problem?

opendata (corona OR coronavirus OR covid OR covid-19 OR covid19 OR covid_19 OR covid2019 OR ncov OR
opendata (corona OR coronavirus OR covid OR covid-19 OR covid19 OR covid_19 OR covid2019 OR ncov OR
From:
SMRFoundation
Uploaded on:
April 07, 2020
Short Description:
opendata (corona OR coronavirus OR covid OR covid-19 OR covid19 OR covid_19 OR covid2019 OR ncov OR ncov19 OR ncov2019 OR 2019ncov OR cov-2 OR sars-cov OR sarscov2) via NodeXL https://bit.ly/2UPGmdS
@nextstrain
@kidehen
@gisaid
@jenit
@eu_dataportal
@google
@shewardmills
@_twitwork
@ecdc_eu

Description:
Description
The graph represents a network of 4,029 Twitter users whose recent tweets contained "opendata (corona OR coronavirus OR covid OR covid-19 OR covid19 OR covid_19 OR covid2019 OR ncov OR ncov19 OR ncov2019 OR 2019ncov OR cov-2 OR sars-cov OR sarscov2)", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 07 April 2020 at 08:40 UTC.

The tweets in the network were tweeted over the 7-day, 18-hour, 48-minute period from Monday, 30 March 2020 at 13:32 UTC to Tuesday, 07 April 2020 at 08:20 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 : 4029
Unique Edges : 7464
Edges With Duplicates : 986
Total Edges : 8450
Number of Edge Types : 5
MentionsInRetweet : 5798
Mentions : 946
Retweet : 1089
Tweet : 454
Replies to : 163
Self-Loops : 466
Reciprocated Vertex Pair Ratio : 0.00987020010816658
Reciprocated Edge Ratio : 0.0195474628464319
Connected Components : 332
Single-Vertex Connected Components : 133
Maximum Vertices in a Connected Component : 2862
Maximum Edges in a Connected Component : 6994
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.169614
Graph Density : 0.000460230853620092
Modularity : 0.814085
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 4,029 Twitter users whose recent tweets contained "opendata (corona OR coronavirus OR covid OR covid-19 OR covid19 OR covid_19 OR covid2019 OR ncov OR ncov19 OR ncov2019 OR 2019ncov OR cov-2 OR sars-cov OR sarscov2)", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 07 April 2020 at 08:40 UTC.

The tweets in the network were tweeted over the 7-day, 18-hour, 48-minute period from Monday, 30 March 2020 at 13:32 UTC to Tuesday, 07 April 2020 at 08:20 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 : TwitterSearch
Graph Term : opendata (corona OR coronavirus OR covid OR covid-19 OR covid19 OR covid_19 OR covid2019 OR ncov OR ncov19 OR ncov2019 OR 2019ncov OR cov-2 OR sars-cov OR sarscov2)
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 : In-Degree

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[454] https://nextstrain.org/ncov
[52] https://www.theguardian.com/commentisfree/2020/apr/02/government-publish-data-coronavirus-deaths
[39] http://www.pref.hokkaido.lg.jp/ss/jsk/opendata/covid19.htm
[27] https://brasil.io:443/
[21] https://epistat.wiv-isp.be/covid/
[20] https://figshare.com/blog/A_Figshare_COVID-19_Research_Publishing_Portal/558?utm_source=hootsuite&utm_medium=twitter&utm_campaign=general&utm_term=figshare
[17] https://indicame.upv.es/coviddata-19
[15] https://www.datasciencecentral.com/forum/topics/a-massive-repository-of-covid-19-data-accessible-through-namara
[15] https://how-to.namara.io/
[15] https://covid19.ca.gov/

Top URLs in Tweet in G1:
[21] https://nextstrain.org/ncov

Top URLs in Tweet in G2:
[415] https://nextstrain.org/ncov
[1] https://threadreaderapp.com/thread/1246220971914166272.html

Top URLs in Tweet in G3:
[48] https://www.theguardian.com/commentisfree/2020/apr/02/government-publish-data-coronavirus-deaths
[11] https://blog.lifebit.ai/2020/04/01/calling-all-researchers-the-fight-against-covid-19-armed-with-open-science-part-2/?utm_source=twitter&utm_medium=social&utm_campaign=lifebitblog&utm_content=COVID2
[9] https://github.com/watty62/Scot_covid19
[7] https://odileeds.org/projects/open-data-saves-lives/covid19
[6] https://blog.lifebit.ai/2020/03/30/lifebit-provides-free-cloud-operating-system-data-hosting-analysis-tools-to-covid-19-researchers/?utm_source=twitter&utm_medium=social&utm_campaign=lifebitblog&utm_content=COVIDCloudOS
[5] https://simonbriscoeblog.wordpress.com/2020/04/01/new-and-open-data-can-help-tackle-covid-19/
[4] https://odileeds.org/projects/open-data-saves-lives/covid19/data-hub/
[4] https://digit.fyi/open-data-being-used-to-help-track-covid-19-in-scotland/
[3] https://www.europeandataportal.eu/en
[3] https://codethecity.org/2020/03/20/scotlands-covid-19-open-data/

Top URLs in Tweet in G4:
[6] https://op.europa.eu/eudatathon
[4] https://www.ecdc.europa.eu/en/novel-coronavirus-china
[4] https://op.europa.eu/en/web/eudatathon/covid-19
[4] https://ecwacs.webex.com/mw3300/mywebex/personalroom/personalroom.do?siteurl=ecwacs&AT=meet&username=ODP
[4] https://www.archimag.com/veille-documentation/2020/03/12/coronavirus-cartes-suivre-evolution-pandemie
[4] https://github.com/viborccom/data/tree/master/covid-19/croatia
[3] https://opendata.ecdc.europa.eu/covid19/casedistribution/csv/
[2] https://twitter.com/ECDC_Outbreaks/status/1245319706476711938
[2] https://data.europa.eu/euodp/en/data/dataset/covid-19-coronavirus-data
[2] https://www.ecdc.europa.eu/en

Top URLs in Tweet in G5:
[5] https://amp.theguardian.com/commentisfree/2020/apr/02/government-publish-data-coronavirus-deaths?__twitter_impression=true
[3] https://docs.google.com/spreadsheets/d/1Z0csxYkWFuvNpfaGQDKnhqdREHcwYbvd3s7vHsWsT5Q/gviz/tq?tqx=out:csv&range=A237:Z250&sheet=nextstrain_csv
[3] https://zenodo.org/search?page=1&size=20&q=covid-19
[2] https://onemocneni-aktualne.mzcr.cz/api/v1/covid-19
[2] https://www.theguardian.com/commentisfree/2020/apr/02/government-publish-data-coronavirus-deaths
[2] https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fgithub.com%2Fbritishredcrosssociety%2Fcovid-19-vulnerability%2Fraw%2Fmaster%2Fdata%2Fward_nearest_hospitals.csv%23ontology
[2] https://github.com/britishredcrosssociety/covid-19-vulnerability
[1] https://opendata.swiss/de/dataset/erwerbslose-gemass-ilo-registrierte-arbeitslose-und-registrierte-stellensuchende2
[1] https://www.swissinfo.ch/eng/covid-19_coronavirus--the-situation-in-switzerland/45592192
[1] https://github.com/philshem/Sechselaeuten-data

Top URLs in Tweet in G6:
[19] https://epistat.wiv-isp.be/covid/
[3] https://nextstrain.org/ncov
[2] https://twitter.com/mariusgilbert/status/1244188247036702720
[1] https://royalsociety.org/news/2020/03/urgent-call-epidemic-modelling/
[1] https://twitter.com/Toon/status/1244963587384315905
[1] https://dimitri.carto.com/viz/29fa08c8-023c-4fcd-869e-7cd198d348cb/public_map
[1] https://twitter.com/jburnmurdoch/status/1244978554389086214
[1] https://twitter.com/brechtdv/status/1244974958998061061
[1] https://epistat.wiv-isp.be/Covid/
[1] https://fair.healthdata.be/sources/covid19

Top URLs in Tweet in G7:
[23] http://www.pref.hokkaido.lg.jp/ss/jsk/opendata/covid19.htm
[3] https://opendata.pref.saitama.lg.jp/data/dataset/covid19-jokyo
[3] https://fevermap.net/
[2] https://twitter.com/mariusgilbert/status/1245001652496519169
[2] https://epistat.wiv-isp.be/covid/
[2] https://www.theguardian.com/commentisfree/2020/apr/02/government-publish-data-coronavirus-deaths
[2] https://twinybots.ch/
[2] https://odileeds.org/projects/open-data-saves-lives/covid19/
[2] https://www.lagazettedescommunes.com/672296/lopen-data-au-service-des-citoyens-confines/
[1] https://www.europeandataportal.eu/data/datasets?locale=en&query=covid&page=1

Top URLs in Tweet in G8:
[6] https://thenextweb.com/neural/2020/03/31/google-offers-comprehensive-coronavirus-datasets-to-researchers-for-free/
[5] https://ojo-publico.com/1706/abrir-los-datos-del-coronavirus-una-oportunidad-para-colaborar
[4] https://github.com/vitorbaptista/google-covid19-mobility-reports/blob/master/data/processed/mobility_reports.csv
[1] http://wrld.bg/fdlL50yIbRA
[1] https://blogs.worldbank.org/opendata/many-homes-low-and-lower-middle-income-countries-lack-basic-handwashing-facilities?cid=ECR_TT_worldbank_EN_EXT
[1] https://twitter.com/Ojo_Publico/status/1246230401963765760
[1] http://datatopics.worldbank.org/universal-health-coverage/covid19/?cid=dec_tt_research_en_ext
[1] https://twitter.com/Ville_Pau/status/1246414777594916865
[1] https://twitter.com/malaymail/status/1245327438726361089
[1] https://console.cloud.google.com/marketplace/details/bigquery-public-datasets/covid19-public-data-program

Top URLs in Tweet in G9:
[27] https://brasil.io:443/
[7] https://twitter.com/Estadao/status/1245280721717035008
[4] https://brasil.io/dataset/covid19/caso
[2] https://twitter.com/turicas/status/1246879492854988800
[2] http://www.rss-specifications.com/history-rss.htm
[2] https://en.wikipedia.org/wiki/Comma-separated_values#History
[1] https://twitter.com/FernandaScovino/status/1244830992038277120
[1] http://cnes.datasus.gov.br/
[1] https://www.youtube.com/channel/UCZFllLoI5kB4o_6w59YVzAA
[1] https://brasil.io:443/dataset/covid19

Top URLs in Tweet in G10:
[5] https://openopps.com/covid-19
[5] https://www.publictechnology.net/articles/news/open-data-system-launched-help-public-sector-search-world-coronavirus-supplies
[4] https://zoom.us/j/600846717
[1] https://twitter.com/a_riverap/status/1245285015262572546
[1] https://govshop.publicspendforum.net/commodity-codes/psf-coronavirus-covid-19/
[1] http://fiscaltransparency.net/newsletters/GIFT_newsletter_MAR_20.html
[1] http://www.fiscaltransparency.net/news/
[1] https://twitter.com/TI_Ukraine_eng/status/1244920463089860608
[1] https://twitter.com/opencontracting/status/1245816685094940678
[1] https://www.open-contracting.org/2020/03/25/monitoring-covid-19-emergency-procurement-with-data/

Top Domains
Top Domains in Tweet in Entire Graph:
[455] nextstrain.org
[175] twitter.com
[79] theguardian.com
[52] github.com
[49] lg.jp
[39] europa.eu
[33] brasil.io
[29] google.com
[28] smh.re
[28] upv.es

Top Domains in Tweet in G1:
[21] nextstrain.org

Top Domains in Tweet in G2:
[415] nextstrain.org
[1] threadreaderapp.com

Top Domains in Tweet in G3:
[50] theguardian.com
[19] twitter.com
[18] lifebit.ai
[16] github.com
[11] odileeds.org
[8] europeandataportal.eu
[5] wordpress.com
[4] digit.fyi
[4] linkedin.com
[3] github.io

Top Domains in Tweet in G4:
[31] europa.eu
[18] twitter.com
[4] webex.com
[4] archimag.com
[4] github.com
[3] smh.re
[2] theguardian.com
[2] viborc.com
[1] transparenciacatalunya.cat
[1] thedata.place

Top Domains in Tweet in G5:
[14] google.com
[11] twitter.com
[10] uriburner.com
[7] theguardian.com
[5] github.com
[3] zenodo.org
[2] mzcr.cz
[2] medium.com
[2] openlinksw.com
[2] nextstrain.org

Top Domains in Tweet in G6:
[20] wiv-isp.be
[5] twitter.com
[3] nextstrain.org
[1] royalsociety.org
[1] carto.com
[1] healthdata.be

Top Domains in Tweet in G7:
[27] lg.jp
[21] twitter.com
[21] smh.re
[5] theguardian.com
[4] arcgis.com
[3] linkedin.com
[3] fevermap.net
[2] wiv-isp.be
[2] cbs.nl
[2] twinybots.ch

Top Domains in Tweet in G8:
[6] thenextweb.com
[5] ojo-publico.com
[4] github.com
[3] twitter.com
[2] worldbank.org
[1] wrld.bg
[1] google.com

Top Domains in Tweet in G9:
[32] brasil.io
[10] twitter.com
[3] youtube.com
[2] gov.br
[2] rss-specifications.com
[2] wikipedia.org
[1] fiocruz.br
[1] coronadatascraper.com

Top Domains in Tweet in G10:
[5] openopps.com
[5] publictechnology.net
[4] zoom.us
[3] twitter.com
[2] fiscaltransparency.net
[1] publicspendforum.net
[1] open-contracting.org

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[2488] covid19
[1966] opendata
[361] coronavirus
[347] sarscov2
[138] data
[110] eudatathon
[95] covid
[88] hcov19
[84] covid_19
[78] openscience



Top Hashtags in Tweet in G1:
[589] covid19
[26] opendata
[23] pakistan
[18] sarscov2
[6] hcov19
[2] partners4prosperity
[1] woof
[1] corona

Top Hashtags in Tweet in G2:
[452] opendata
[312] covid19
[305] sarscov2
[78] hcov19
[7] openness4alll
[1] sequencedata
[1] openaccess
[1] openmaps
[1] openknowledge
[1] openscience

Top Hashtags in Tweet in G3:
[219] opendata
[211] covid19
[34] openscience
[31] covid
[27] citizenscience
[26] edp
[23] scotland
[22] coronavirus
[20] data
[14] bigdata

Top Hashtags in Tweet in G4:
[166] covid19
[102] eudatathon
[69] opendata
[19] coronavirus
[19] hrvatska
[18] dataviz
[15] croatia
[12] covid_19
[9] covidー19
[8] buildforcovid19

Top Hashtags in Tweet in G5:
[161] covid19
[158] opendata
[69] data
[55] twitterapi
[45] knowledgegraph
[42] linkeddata
[31] lodcloud
[13] web
[13] googlespreadsheet
[13] canada

Top Hashtags in Tweet in G6:
[41] opendata
[31] covid19
[9] data
[6] coronavirus
[3] sarscov2
[2] covid19be
[2] covid
[1] itsmoving
[1] visualized
[1] quickanddirty

Top Hashtags in Tweet in G7:
[94] opendata
[66] covid19
[37] coronavirus
[21] eufunded
[21] h2020
[21] horizon2020
[6] openscience
[5] opensource
[4] covid_19
[4] data

Top Hashtags in Tweet in G8:
[106] covid19
[20] opendata
[13] opinión
[7] coronavirus
[6] datascience
[2] dataset
[2] coviddatachat
[1] datosabiertos
[1] bigdata
[1] datapartnership

Top Hashtags in Tweet in G9:
[119] covid19
[33] opendata
[1] covid_19
[1] datascience
[1] coronavirus
[1] ddj
[1] python
[1] civictech
[1] fail

Top Hashtags in Tweet in G10:
[92] covid19
[58] opendata
[29] fiscalopenness
[27] tomorrow
[15] opencontracting
[14] fiscaltransparency
[13] governments
[12] publicfinance
[8] publicprocurement
[5] procurement

Top Words
Top Words in Tweet in Entire Graph:
[3226] Words in Sentiment List#1: Positive
[1617] Words in Sentiment List#2: Negative
[0] Words in Sentiment List#3: Angry/Violent
[130607] Non-categorized Words
[135450] Total Words
[3853] #opendata
[3030] #covid19
[1147] sharing
[1084] data
[673] using

Top Words in Tweet in G1:
[611] #covid19
[594] #opendata
[594] sharing
[572] official_nust
[571] nextstrain
[570] researchers
[570] collaborating
[570] stop
[570] spread
[570] applaud

Top Words in Tweet in G2:
[551] thanks
[484] sequences
[454] #opendata
[446] sharing
[444] gisaid
[406] updated
[337] #covid19
[329] #sarscov2
[229] spain
[182] york

Top Words in Tweet in G3:
[377] #opendata
[245] #covid19
[115] data
[92] more
[81] #data
[60] open
[60] government
[58] today
[56] deaths
[55] die

Top Words in Tweet in G4:
[206] ecdc_eu
[183] #covid19
[143] data
[134] 2020
[118] #opendata
[103] eu_opendata
[102] find
[102] #eudatathon
[96] #buildforcovid19
[94] propose

Top Words in Tweet in G5:
[182] #opendata
[172] #covid19
[114] #linkeddata
[71] #data
[61] #nigeria
[60] #rdf
[60] nigeria
[59] people
[58] linked
[57] power

Top Words in Tweet in G6:
[167] par
[142] #opendata
[112] province
[103] data
[96] données
[78] sciensano
[63] tests
[57] cas
[55] nouvelles
[55] publiques

Top Words in Tweet in G7:
[95] #opendata
[66] #covid19
[37] #coronavirus
[37] data
[27] outbreak
[24] research
[23] sharing
[23] find
[23] pandemic
[23] online

Top Words in Tweet in G8:
[114] #covid19
[70] #opendata
[56] people
[55] washing
[55] hands
[55] simple
[55] effective
[55] way
[55] prevent
[55] coronavirus

Top Words in Tweet in G9:
[204] dados
[128] #opendata
[124] #covid19
[59] co
[56] esses
[55] nível
[55] municipal
[54] oatila
[53] rodaviva
[53] afirmou

Top Words in Tweet in G10:
[147] #covid19
[134] #opendata
[73] emergency
[66] search
[47] public
[43] join
[42] adjustments
[42] #opencontracting
[41] suppliers
[34] world

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[1008] #opendata,sharing
[578] using,#opendata
[577] spread,#covid19
[570] collaborating,stop
[570] stop,spread
[570] #covid19,applaud
[570] applaud,nextstrain
[570] nextstrain,cididteam
[570] cididteam,official_nust
[570] work,using

Top Word Pairs in Tweet in G1:
[592] #opendata,sharing
[570] collaborating,stop
[570] stop,spread
[570] spread,#covid19
[570] #covid19,applaud
[570] applaud,nextstrain
[570] nextstrain,cididteam
[570] cididteam,official_nust
[570] work,using
[570] using,#opendata

Top Word Pairs in Tweet in G2:
[441] thanks,#opendata
[400] #opendata,sharing
[394] sharing,gisaid
[382] gisaid,updated
[328] #covid19,#sarscov2
[206] #sarscov2,sequences
[110] hong,kong
[88] sequences,australia
[80] #sarscov2,#hcov19
[77] #hcov19,sequences

Top Word Pairs in Tweet in G3:
[51] more,data
[47] government,publishing
[47] publishing,more
[43] data,coronavirus
[43] coronavirus,deaths
[42] deaths,jenit
[41] #data,#opendata
[39] jenit,today
[39] today,guardian
[39] guardian,#covidー19

Top Word Pairs in Tweet in G4:
[94] propose,app
[94] app,#eudatathon
[86] ecdc_eu,eu_opendata
[85] data,ecdc_eu
[84] help,tackle
[84] tackle,#covid19
[84] #eudatathon,2020
[81] connect,#buildforcovid19
[81] #buildforcovid19,#ideas4eu
[77] find,more

Top Word Pairs in Tweet in G5:
[58] #opendata,#covid19
[55] power,#data
[55] #data,python
[55] python,script
[55] script,using
[55] using,#twitterapi
[55] #twitterapi,linked
[55] linked,#opendata
[55] #covid19,index
[55] index,cases

Top Word Pairs in Tweet in G6:
[112] par,province
[55] nouvelles,données
[55] données,publiques
[55] publiques,fournies
[55] fournies,par
[55] par,sciensano
[55] sciensano,détaillées
[55] détaillées,cas
[55] cas,par
[55] province,commune

Top Word Pairs in Tweet in G7:
[26] #covid19,#opendata
[21] scientists,monitor
[21] monitor,#coronavirus
[21] #coronavirus,pandemic
[21] pandemic,faster
[21] faster,previous
[21] previous,outbreak
[21] outbreak,find
[21] find,#eufunded
[21] #eufunded,research

Top Word Pairs in Tweet in G8:
[55] washing,hands
[55] hands,simple
[55] simple,effective
[55] effective,way
[55] way,prevent
[55] prevent,#covid19
[55] #covid19,coronavirus
[55] coronavirus,many
[55] many,people
[55] people,access

Top Word Pairs in Tweet in G9:
[68] dados,#covid19
[56] esses,dados
[55] nível,municipal
[53] rodaviva,oatila
[53] oatila,afirmou
[53] afirmou,precisamos
[53] precisamos,dados
[53] #covid19,nível
[53] municipal,agir
[53] agir,eficientemente

Top Word Pairs in Tweet in G10:
[34] #opendata,#opencontracting
[33] #covid19,#opendata
[30] 9am,edt
[30] reflections,recommendations
[30] recommendations,#fiscalopenness
[30] #fiscalopenness,times
[30] times,emergency
[30] emergency,budget
[30] budget,adjustments
[30] adjustments,#covid19

Top Replied-To
Top Replied-To in Entire Graph:
@emekaokoye
@jmollel
@unstats
@montcopa
@coviddirecto
@eu_dataportal
@melvincarvalho
@roslin_epi
@oecdgov
@bmsgpk

Top Replied-To in G2:
@genomematt

Top Replied-To in G3:
@roslin_epi
@bmsgpk
@barjack
@chris2286266
@eu_dataportal
@peterbussjaeger
@vavoida
@mksgraz
@zumfressngern
@risklayer

Top Replied-To in G4:
@ecdc_eu

Top Replied-To in G5:
@emekaokoye
@melvincarvalho
@egonwillighagen
@nhsuk
@jervenbolleman
@jtasioulas
@tfolaadeola
@visualcap
@divya_in_ch
@juliaraifman

Top Replied-To in G6:
@eschnou
@maartenzam
@pduchesne
@brechtdv

Top Replied-To in G8:
@google

Top Replied-To in G9:
@hbredda
@turicas

Top Mentioned
Top Mentioned in Entire Graph:
@nextstrain
@official_nust
@cididteam
@gisaid
@ecdc_eu
@eu_opendata
@sciensano
@4lowthemoney
@hongkongpolyu
@google

Top Mentioned in G1:
@official_nust
@nextstrain
@cididteam
@gisaid
@state_sca
@inrb_kinshasa
@mtamfum
@eddy_lusamaki_k
@nyulangone
@hongkongpolyu

Top Mentioned in G2:
@gisaid
@hongkongpolyu
@nyulangone
@institutpasteur
@inrb_kinshasa
@mtamfum
@eddy_lusamaki_k
@utahdepofhealth
@saludisciii
@pasteur_algerie

Top Mentioned in G3:
@jenit
@guardian
@statistik_zh
@odihq
@opendatazh
@bmsgpk
@opendatabeerch
@ecdc_eu
@watty62
@eth

Top Mentioned in G4:
@ecdc_eu
@eu_opendata
@eu_health
@disinfoeu
@factchecknet
@fullfact
@eu_dataportal
@storydatabcn
@eli_vivas
@astavrakoudis

Top Mentioned in G5:
@github
@peluawofeso
@eu_isa2
@naijaflyingdr
@mosesbraimah
@akpaneli
@okaycorporation
@shamsidris
@bayoadekanmbi
@kashifuinuwa

Top Mentioned in G6:
@sciensano
@maggie_deblock
@alexanderdecroo
@sophie_wilmes
@eschnou
@michelhenrion
@roald
@davanac
@toon
@gisaid

Top Mentioned in G8:
@google
@ildalatam
@silvanavf
@fscrollini
@worldbank
@openstreetmap
@ville_pau
@caresteouvert
@geocensos
@unstats

Top Mentioned in G9:
@oatila
@rodaviva
@cambricoli
@hertonescobar
@marivarella
@nilmoretto
@msoares
@veramagalhaes
@fccoelho
@estadao

Top Mentioned in G10:
@imfnews
@opencontracting
@accountlab
@openbudgets
@fiscaltrans
@milamila07
@govshop
@openopps
@opendataza
@the_idb

Top Tweeters
Top Tweeters in Entire Graph:
@jim_peoples_
@as_sakimori
@matiere
@indiegametrends
@hassan_k82
@wittgenstein_jm
@rjber15
@chidambara09
@threadreaderapp
@evankirstel

Top Tweeters in G1:
@hassan_k82
@ambitiousfree
@fahad_pti
@salman0800
@ayaz_khan007
@arifjamallodhi
@shaddad_marwat
@mahwashajaz_
@aajeel_dars
@alirazatweets

Top Tweeters in G2:
@threadreaderapp
@baronianconsult
@viriyabot
@sandoly
@ariel_scebai
@pepenavarretetu
@cecalli_helper
@bprophetable
@mig30m6
@galactr0n

Top Tweeters in G3:
@chidambara09
@guardian
@skynews
@sms2sms
@gquerci
@derstandardat
@adamspong
@aidanskinner
@creation_2011
@lightifyco1

Top Tweeters in G4:
@adriansysnet
@yvesmulkers
@arsenalofka
@arsenalpanda11
@pearsawfly
@nordicgeo
@fbpetrundlelin
@alitaisonfire
@cepodario
@fangelico

Top Tweeters in G5:
@nytimes
@clarenceonyeks
@twittkode
@ezeasorije
@nerdy_dami
@gombang
@iamthechoko
@emekaokoye
@tunjilardner
@naijaflyingdr

Top Tweeters in G6:
@euwatchers
@mpassy_jr
@polbegov
@iamthemoi
@yaaguanto
@mamita1949
@hugues
@michelhenrion
@ristori20
@jacopogio

Top Tweeters in G7:
@yunaster
@warumaho
@sweetpotato14
@dearainbow
@fortivus
@hiratti_classic
@eee_eff
@liplistyle
@stella_vaskoudi
@charleytakaya

Top Tweeters in G8:
@mahiru1024
@syawal
@veroca327
@gilcdt
@ohemaadufiegh
@google
@electrcshepherd
@fiona_theartist
@tonylopes
@sybo82

Top Tweeters in G9:
@estadao
@mrduranch
@minsaude
@rdsaraceno
@lfbossa
@andersonfraga
@domingosmath
@msoares
@nilmoretto
@hbredda

Top Tweeters in G10:
@owenblacker
@iamaniku
@nyaribarii
@hal_good
@tiyanitee
@detig
@jogbosky
@prince_yanda
@mthandazon
@section27news


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