The graph represents a network of 4,951 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, 23 March 2020 at 02:24 UTC.
The requested start date was Monday, 23 March 2020 at 00:01 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 4-day, 21-hour, 32-minute period from Tuesday, 17 March 2020 at 19:19 UTC to Sunday, 22 March 2020 at 16:52 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 : 4951
Unique Edges : 7380
Edges With Duplicates : 2058
Total Edges : 9438
Number of Edge Types : 4
MentionsInRetweet : 6353
Mentions : 1914
Tweet : 885
Replies to : 286
Self-Loops : 885
Reciprocated Vertex Pair Ratio : 0.0214121154627998
Reciprocated Edge Ratio : 0.0419264959532971
Connected Components : 537
Single-Vertex Connected Components : 190
Maximum Vertices in a Connected Component : 2823
Maximum Edges in a Connected Component : 6764
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 7.265655
Graph Density : 0.000307539136058627
Modularity : 0.742404
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 4,951 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, 23 March 2020 at 02:24 UTC.
The requested start date was Monday, 23 March 2020 at 00:01 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 4-day, 21-hour, 32-minute period from Tuesday, 17 March 2020 at 19:19 UTC to Sunday, 22 March 2020 at 16:52 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 Domains
Top Word Pairs in Tweet in Entire Graph:
[552] #opendata,sharing [523] nextstrain,thanks [430] thanks,#opendata [368] we've,updated [325] gisaid,we've [210] covid,19 [187] ข,อม [173] putting,special [173] special,announcements [173] announcements,web Top Word Pairs in Tweet in G1:
[532] #opendata,sharing [513] nextstrain,thanks [420] thanks,#opendata [362] we've,updated [321] gisaid,we've [123] sharing,uwvirology [111] school,medicine [109] thanks,incredible [109] incredible,#opendata [88] medicine,gisaid Top Word Pairs in Tweet in G2:
[23] #eusolidarityfund,benefit [23] benefit,check [23] check,#datastory [23] #datastory,#coronavirusoutbreak [19] 03,2020 [18] 20,03 [18] #opendata,#eubudget [18] regioevaluation,euinmyregion [17] know,more [17] more,#eusolidarityfund Top Word Pairs in Tweet in G3:
[169] putting,special [169] special,announcements [169] announcements,web [169] web,site [169] site,make [169] make,search [169] search,engines [169] engines,know [168] timberners_lee,putting [15] #covid19,#opendata Top Word Pairs in Tweet in G4:
[53] #datascience,#bigdata [53] #bigdata,#marketing [52] gt,#datascience [42] data,science [26] mer,conference [24] #python,python [24] python,data [24] science,exercises [24] exercises,gt [23] ashifadea2,#python Top Word Pairs in Tweet in G5:
[21] covid,19 [11] 2020,03 [10] open,data [6] 2020,02 [5] #opendata,#covid19 [5] olyckor,till [5] till,trafikverket [5] trafikverket,det [5] det,är [5] är,trafikolycka Top Word Pairs in Tweet in G6:
[26] thank,30 [26] 30,publishers [26] publishers,committed [26] committed,making [26] making,#coronavirus [26] #coronavirus,related [26] related,publications [26] publications,data [25] arlnews,thank [25] data,immediat Top Word Pairs in Tweet in G7:
[56] using,data [47] coronavirus,pandemic [46] data,manage [35] manage,coronavirus [33] tweetchat,using [33] pandemic,tomorrow [33] tomorrow,3pm [33] 3pm,nigerian [33] nigerian,time [33] time,risenetworks Top Word Pairs in Tweet in G8:
[20] 24infodata,abbiamo [20] abbiamo,cercato [20] cercato,regione [20] regione,regione [20] regione,dati [20] dati,sul [20] sul,#coronavirus [20] #coronavirus,vengono [20] vengono,condivisi [20] condivisi,sui Top Word Pairs in Tweet in G9:
[186] ข,อม [65] ระบบ,#crowdsource [65] #crowdsource,หาพ [65] หาพ,ก [65] ก,ดซ [65] ดซ,อหน [65] อหน,ากากของ [65] ากากของ,#อนาคตใหม [65] #อนาคตใหม,ว [65] ว,นน Top Word Pairs in Tweet in G10:
[19] datos,abiertos [11] informe,datos [11] abiertos,allá [11] allá,sector [11] sector,público [10] datosgob,eu_opendata [10] junta,castilla [10] castilla,león [10] león,empieza [10] empieza,publicar Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
Top Tweeters in G4:
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Top Tweeters in G9:
Top Tweeters in G10: