The graph represents a network of 1,088 Twitter users whose recent tweets were included in a list (Tweet ID List - ecdc_eu reconstructed) of 3200 tweet IDs, or who were replied to or mentioned in those tweets. 3200 out of 3200 tweets were collected. The network was obtained from Twitter on Wednesday, 31 March 2021 at 20:20 UTC.
The tweets in the network were tweeted over the 882-day, 20-hour, 20-minute period from Tuesday, 30 October 2018 at 15:48 UTC to Wednesday, 31 March 2021 at 12:09 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 : 1088
Unique Edges : 1611
Edges With Duplicates : 6506
Total Edges : 8117
Self-Loops : 1619
Reciprocated Vertex Pair Ratio : 0.125776397515528
Reciprocated Edge Ratio : 0.223448275862069
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 1088
Maximum Edges in a Connected Component : 8117
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.994898
Graph Density : 0.00183908084853076
Modularity : 0.149884
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 1,088 Twitter users whose recent tweets were included in a list (Tweet ID List - ecdc_eu reconstructed) of 3200 tweet IDs, or who were replied to or mentioned in those tweets. 3200 out of 3200 tweets were collected. The network was obtained from Twitter on Wednesday, 31 March 2021 at 20:20 UTC.
The tweets in the network were tweeted over the 882-day, 20-hour, 20-minute period from Tuesday, 30 October 2018 at 15:48 UTC to Wednesday, 31 March 2021 at 12:09 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 : TwitterIDList
Graph Term : Tweet ID List - ecdc_eu reconstructed
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[558] eu,eea [355] eea,uk [300] find,info [298] deaths,find [297] deaths,eu [283] https,t [283] t,co [278] #covid19,update [266] latest,#rapidriskassessment [265] today's,#covid19 Top Word Pairs in Tweet in G1:
[488] eu,eea [349] eea,uk [300] find,info [298] deaths,find [296] deaths,eu [278] #covid19,update [266] latest,#rapidriskassessment [265] info,latest [265] #rapidriskassessment,#sarscov2 [264] today's,#covid19 Top Word Pairs in Tweet in G2:
[77] https,t [77] t,co [45] member,states [44] eu,eea [41] covid,19 [41] read,more [38] latest,ecdc_eu [37] threats,report [35] communicable,disease [35] public,health Top Word Pairs in Tweet in G3:
[36] https,t [36] t,co [25] eu,eea [14] 90,90 [9] pre,exposure [9] exposure,prophylaxis [8] #hiv,#hepatitis [7] prophylaxis,#prep [7] men,sex [7] sex,men Top Word Pairs in Tweet in G4:
[5] andrea,ammon [4] everyone,flap [4] flap,wings [4] wings,create [4] create,#onehealth [4] #onehealth,butterfly [4] butterfly,effect [3] join,conversation [3] dominique,monnet [3] #waaw,ecdc_eu Top Word Pairs in Tweet in G5:
[11] #epiet,#euphem [5] public,health [4] fellowship,programme [3] check,out [3] now,available [3] click,here [3] #euphem,fellows [2] prevention,control [2] control,#communicablediseases [2] new,ecdc_eu Top Word Pairs in Tweet in G6:
[6] https,t [6] t,co [2] #covid19,data [2] registration,open [2] isidrolaso,eu_commission [2] check,out Top Word Pairs in Tweet in G7:
[2] european,union [2] consult,regularly [2] regularly,'coronavirus [2] 'coronavirus,response' [2] response',site [2] site,eu_commission [2] eu_commission,find [2] find,reliable [2] reliable,up [2] up,date Top Word Pairs in Tweet in G8:
[2] #onehealthsecurity,#sharpja [2] massimo,ciotti Top Word Pairs in Tweet in G9:
[2] leadership,matters Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: