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
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 Domains
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 in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
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 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: