The graph represents a network of 6,446 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 Monday, 10 August 2020 at 19:39 UTC.
The requested start date was Monday, 10 August 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 10-day, 14-hour, 55-minute period from Thursday, 30 July 2020 at 08:55 UTC to Sunday, 09 August 2020 at 23:50 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
Vertices : 6446
Unique Edges : 4616
Edges With Duplicates : 12508
Total Edges : 17124
Number of Edge Types : 5
Tweet : 1422
Retweet : 5211
MentionsInRetweet : 7476
Mentions : 2641
Replies to : 374
Self-Loops : 1503
Reciprocated Vertex Pair Ratio : 0.0273072934669893
Reciprocated Edge Ratio : 0.0531628532974428
Connected Components : 645
Single-Vertex Connected Components : 229
Maximum Vertices in a Connected Component : 4137
Maximum Edges in a Connected Component : 13044
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 6.455469
Graph Density : 0.00021461340101342
Modularity : 0.50063
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 6,446 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 Monday, 10 August 2020 at 19:39 UTC.
The requested start date was Monday, 10 August 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 10-day, 14-hour, 55-minute period from Thursday, 30 July 2020 at 08:55 UTC to Sunday, 09 August 2020 at 23:50 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 URLs in Tweet in Entire Graph:
[177] https://fcub.fluidware.it/stations [146] https://brasil.io/ [61] https://data.humdata.org/visualization/covid19-humanitarian-operations/ [43] https://numfocus.org/your-support [27] https://www.meetup.com/pro/pydata/ [26] https://nextstrain.org/ncov [24] https://medium.com/@digitaldavidj/data-driven-service-design-service-innovation-led-by-data-64c46ac67071 [22] https://datos.gob.es/es/blog/ejemplos-de-repositorios-de-datos-abiertos-poco-comunes [18] https://www.iotworldtoday.com/2019/11/17/iot-putting-the-smart-into-smart-cities/ [18] https://www.geoboxers.com/worldbloxer/ Top URLs in Tweet in G1:
[7] https://brasil.io/ [3] https://confluence.ecmwf.int/display/CKB/CAMS%3A+Global+Fire+Assimilation+System+%28GFAS%29+data+documentation [3] https://data.europa.eu/euodp/ [3] https://op.europa.eu/en/web/eudatathon/2020-finalists [3] https://resourcewatch.org/data/explore/95b013a3-389a-4367-83b7-c9d68c28c406?section=Discover&zoom=2&lat=16.551961722020447&lng=40.781249999969376&pitch=0&bearing=0&basemap=dark&labels=light&layers=%255B%257B%2522dataset%2522%253A%252295b013a3-389a-4367-83b7-c9d68c28c406%2522%252C%2522opacity%2522%253A1%252C%2522layer%2522%253A%25226e5ef715-08df-4b5a-b9e7-e9d98ff08826%2522%257D%255D&page=1&sort=most-viewed&sortDirection=-1 [2] https://twitter.com/Pierre_Markuse/status/1289559326227460097 [2] https://worldview.earthdata.nasa.gov/?v=86.43483681921222,26.057139319158324,221.43483681921222,93.20557681915832&l=OrbitTracks_Calipso_Descending(hidden),OrbitTracks_Calipso_Ascending(hidden),VIIRS_SNPP_Thermal_Anomalies_375m_Night(hidden),VIIRS_SNPP_Thermal_Anomalies_375m_Day(hidden),MODIS_Aqua_Thermal_Anomalies_All,MODIS_Terra_Thermal_Anomalies_All,Reference_Labels,Reference_Features,Coastlines,VIIRS_SNPP_CorrectedReflectance_TrueColor,MODIS_Aqua_CorrectedReflectance_TrueColor,MODIS_Terra_CorrectedReflectance_TrueColor [2] https://medium.com/sentinel-hub/introducing-eo-learn-ab37f2869f5c?source=friends_link&sk=ae53861467355c779aea87506deff4d9 [2] https://op.europa.eu/en/eudatathon [2] https://www.youtube.com/playlist?list=PLT5rARDev_rmsUE8Wzvi0dGXsk9FCZQjr Top URLs in Tweet in G2:
[1] https://opendata.dwd.de/climate_environment/CDC/regional_averages_DE/annual/air_temperature_mean/regional_averages_tm_year.txt [1] https://www.europeandataportal.eu/de/dashboard/2019 [1] https://www.europeandataportal.eu/de [1] https://twitter.com/gntblive/status/1284027208114352131 Top URLs in Tweet in G3:
[177] https://fcub.fluidware.it/stations [38] https://numfocus.org/your-support [24] https://www.meetup.com/pro/pydata/ [18] https://www.iotworldtoday.com/2019/11/17/iot-putting-the-smart-into-smart-cities/ [13] https://medium.com/@digitaldavidj/data-driven-service-design-service-innovation-led-by-data-64c46ac67071 [10] https://git.fluidware.it/milanoscaloromana/pm/blob/master/README.md [7] https://www.campusbigdata.com/big-data-blog/item/110-datos-de-gobiernos-abiertos-open-gov-data [6] https://journalsojs3.fe.up.pt/index.php/jim/issue/view/2183-0606_007.003 [6] https://codata.org/register-now-webinar-on-thinking-reproducibility-in-your-research-work/ [5] https://www.watson.ch/schweiz/coronavirus/353267056-bag-verwirrt-erneut-mit-widerspruechlichen-informationen Top URLs in Tweet in G4:
[8] https://blogs.worldbank.org/opendata/understanding-global-debt-relieving-covid-19-impact-most-vulnerable?cid=ECR_TT_worldbank_EN_EXT [3] https://blogs.worldbank.org/opendata/updated-estimates-impact-covid-19-global-poverty?cid=SHR_BlogSiteShare_EN_EXT [3] https://blogs.worldbank.org/opendata/gold-shines-bright-throughout-covid-19-crisis?cid=dec_tt_data_en_ext [3] https://blogs.worldbank.org/opendata/size-world-economy-2019-baseline-which-measure-impact-covid-19-and-track-economic-recovery?cid=dec_tt_data_en_ext [3] https://blogs.worldbank.org/opendata/bootstrapping-our-way-toward-improved-poverty-maps?cid=pov_tt_poverty_en_ext [3] https://blogs.worldbank.org/opendata/visualizing-debt-transparency [2] https://blogs.worldbank.org/opendata/new-world-bank-country-classifications-income-level-2020-2021?cid=ECR_TT_worldbank_EN_EXT [2] https://blogs.worldbank.org/opendata/impact-covid-19-coronavirus-global-poverty-why-sub-saharan-africa-might-be-region-hardest?cid=EXT_WBBlogTweetableShare_D_EXT [2] https://blogs.worldbank.org/opendata/new-world-bank-country-classifications-income-level-2020-2021?cid=EXT_WBBlogTweetableShare_D_EXT [2] http://wrld.bg/3nhl50AhbJ4?cid=spl_tt_splabor_en_ext Top URLs in Tweet in G5:
[15] https://figshare.com/articles/Connections_between_open_scholarship_practices/12592283/2 [6] https://figshare.com/blog/Why_fast_but_good_publishing_matters/587?utm_source=hootsuite&utm_medium=twitter&utm_campaign=general&utm_term=figshare [5] https://www.youtube.com/watch?v=_SueRnB0uCQ&feature=youtu.be [5] https://psyarxiv.com/p6e9c [5] https://www.iochem-bd.org [5] https://numfocus.org/your-support [5] https://opendata.cbs.nl/statline/#/CBS/nl/dataset/70895ned/table?fromstatweb [4] https://twitter.com/BernHyland/status/1281754886716002304 [3] https://www.force11.org/fsci/2020/fsci-2020-course-abstracts#W21 [3] https://twitter.com/EricTopol/status/1291846181136379906 Top URLs in Tweet in G6:
[13] https://twinybots.ch/ [11] https://medium.com/@digitaldavidj/data-driven-service-design-service-innovation-led-by-data-64c46ac67071 [6] https://blogs.worldbank.org/opendata/international-tourism-data-top-destinations-number-arrivals-and-more [4] https://cohesiondata.ec.europa.eu/stories/s/In-profile-cohesion-policy-improving-health-servic/qyuv-h9j2 [3] https://blogs.worldbank.org/opendata/new-country-classifications-income-level-2019-2020 [3] https://opendata.pref.shizuoka.jp/dataset/8167.html [2] https://transport-online.de/news/man-erprobt-autonomen-terminal-lkw-mit-bahn-und-fresenius-31983.html [2] https://data.chhs.ca.gov/dataset/activity/8eb8839f-52a1-410b-8c4a-5b1c1678bbc2 [2] http://www.pref.hokkaido.lg.jp/ss/jsk/opendata/covid19.htm [2] https://datos.gob.es/es/blog/ejemplos-de-repositorios-de-datos-abiertos-poco-comunes Top URLs in Tweet in G7:
[7] https://www.ecdc.europa.eu/en/covid-19/data [6] https://www.natural-solutions.eu/blog/une-strategie-de-vegetalisation-urbaine [5] https://www.archimag.com/univers-data/2020/08/04/nouvelle-caledonie-lance-plateforme-open-data [3] http://files.opendatarchives.fr/data.gouv.nc/ [3] https://open.urssaf.fr/pages/home/ [3] https://www.precisement.org/blog/Les-informations-sur-les-societes-republiees-en-mieux-par-Pappers-et-RCS-Ninja.html [2] https://fr.m.wikipedia.org/wiki/Orthophotographie [2] https://twitter.com/Thom_astro/status/1292396068735455233?s=19 [2] https://ec.europa.eu/info/law/better-regulation/have-your-say/initiatives/12111-Implementing-act-on-a-list-of-High-Value-Datasets [2] https://twitter.com/Sandre_Eau/status/1288480164008071168 Top URLs in Tweet in G8:
[19] https://datos.gob.es/es/blog/ejemplos-de-repositorios-de-datos-abiertos-poco-comunes [13] https://www.service.bund.de/IMPORTE/Stellenangebote/editor/Bezirksamt-Lichtenberg-von-Berlin/2020/07/3506137.html?nn=4642046&type=0&searchResult=true&templateQueryString=open+data [6] https://opendata.ellak.gr/2020/08/03/anichta-sinola-dedomenon-iliakis-energias-apo-to-european-data-portal/ [4] https://www.europeandataportal.eu/en/news-events/news [4] https://www.agendapropia.co/mujer-palabra-resistencia/repositorio-de-datos/ [3] https://twitter.com/linzlds/status/1291151255188824064 [3] https://en.interfax.com.ua/news/economic/678725.html [2] https://www.europeandataportal.eu/en/impact-studies/tell-us-your-story [2] https://www.europeandataportal.eu/en/highlights/sustainability-open-data-portals-infrastructures-reports-pt-2 [2] https://www.prensa.com/impresa/opinion/open-data-para-politicas-publicas-de-calidad/ Top URLs in Tweet in G9:
[14] https://opendata.pref.shizuoka.jp/dataset/8167.html [6] https://stopcovid19.code4numazu.org/ [6] https://opendata.pref.shizuoka.jp/dataset/8167/resource/46279/220001_shizuoka_covid19_patients.csv [3] http://www.pref.hokkaido.lg.jp/ss/jsk/opendata/covid19.htm [1] https://opendata.pref.shizuoka.jp/dataset/8167/resource/45876/220001_shizuoka_covid19_test_number.csv [1] https://www.pref.shizuoka.jp/kinkyu/documents/20200726_167-168.pdf [1] https://opendata.pref.shizuoka.jp/dataset/8113.html [1] https://stopcovid19.code4numazu.org [1] https://twitter.com/BLightningM/status/1289451721224155137 [1] https://twitter.com/YamahaIwata/status/1289191776402567168 Top URLs in Tweet in G10:
[5] https://www.gov.uk/government/news/launch-of-planning-for-the-future-consultation-to-reform-the-planning-system [2] https://m.wikidata.org/wiki/Q97908346 [2] https://es.catapult.org.uk/news/energy-data-taskforce-makes-five-key-recommendations/ [2] https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/conditionsanddiseases/bulletins/coronavirustheukeconomyandsocietyfasterindicators/latest#shipping [2] https://www.gov.uk/government/statistical-data-sets/local-authority-housing-statistics-open-data [2] https://github.com/svenlatham/eatout-scraper [2] https://dcmslibraries.blog.gov.uk/2020/08/03/library-open-data-an-update/ [2] https://localtrust.org.uk/insights/research/below-the-radar/ [2] https://www.newcastle.gov.uk/local-government/access-information-and-data/open-data/libraries-data-sets [2] https://warninggraphiccontent.tumblr.com/post/625774295911661568/7-august-2020 Top Domains
Top Word Pairs in Tweet in Entire Graph:
[880] ãƒ,ム[367] deutschland,bereits [367] bereits,grad [367] erde,grad [367] grad,globalen [367] globalen,mittel [367] mittel,incl [366] rahmstorf,deutschland [343] m3,pm10 [292] grad,wärmer Top Word Pairs in Tweet in G1:
[194] #copernicus,#sentinel [192] july,2020 [169] pierre_markuse,ðÿÿ [168] 2020,#copernicus [125] full,size [117] #sentinel,2ðÿ [109] #sakharepublic,#siberia [96] august,2020 [91] size,âž [90] 2ðÿ,full Top Word Pairs in Tweet in G2:
[364] deutschland,bereits [364] bereits,grad [364] erde,grad [364] grad,globalen [364] globalen,mittel [364] mittel,incl [363] rahmstorf,deutschland [290] grad,wärmer [290] wärmer,geworden [290] geworden,landflächen Top Word Pairs in Tweet in G3:
[343] m3,pm10 [202] good,pm1 [196] pm1,pm2 [174] î,m3 [173] #opendata,#opensource [169] μg,m3 [165] 08,2020 [157] #fcub,#fuoricomeunbalcone [157] #fuoricomeunbalcone,#opendata [157] #opensource,#openstandard Top Word Pairs in Tweet in G4:
[126] extreme,poverty [125] push,71 [125] 100,million [125] million,people [124] #covid19,push [124] 71,100 [124] people,extreme [124] poverty,2020 [124] 2020,worldbank [124] worldbank,aims Top Word Pairs in Tweet in G5:
[73] #opendata,#openscience [47] iochem,bd [34] #compchem,#opendata [32] #openscience,#opendata [20] #openscience,#bigdata [16] #openaccess,#opendata [15] updated,version [15] version,#openscholarship [15] #openscholarship,concept [15] concept,map Top Word Pairs in Tweet in G6:
[26] ãƒ,ム[19] open,data [11] service,innovation [11] innovation,led [11] led,data [11] olyckor,till [11] till,trafikverket [11] trafikverket,det [11] trafikolycka,var [11] minut,tillsammans Top Word Pairs in Tweet in G7:
[24] feuille,route [22] canfre,#opendata [21] #opendata,eu_commission [21] ouvre,consultation [21] consultation,jusqu'au [21] jusqu'au,25 [21] adoption,actes [21] statistiques,l' [21] l',inseefr [19] nouvelle,calã Top Word Pairs in Tweet in G8:
[108] î,î [67] datos,abiertos [19] ejemplos,repositorios [19] repositorios,datos [19] abiertos,poco [19] poco,comunes [19] comunes,alejandro_alija [19] alejandro_alija,#opendata [18] îµî,î [18] datosgob,ejemplos Top Word Pairs in Tweet in G9:
[809] ãƒ,ム[167] ªãƒ,ム[166] ç,ç [150] žå,œã [148] ç,ˆã [148] ãƒ,ÿã [148] œã,ªã [147] 眜,ç [147] ç,未å [147] 未å,œé Top Word Pairs in Tweet in G10:
[32] local,authority [31] covid,19 [29] uk,government's [29] government's,#opendata [29] #opendata,covid [29] 19,much [29] much,improved [29] improved,still [29] still,wish [29] wish,included Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: