The graph represents a network of 9,774 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk week 24) of 12046 tweet IDs, or who were replied to or mentioned in those tweets. 11779 out of 12046 tweets were collected. The network was obtained from Twitter on Wednesday, 09 September 2020 at 19:53 UTC.
The tweets in the network were tweeted over the 6-day, 22-hour, 26-minute period from Tuesday, 01 September 2020 at 01:33 UTC to Monday, 07 September 2020 at 23:59 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 : 9774
Unique Edges : 15519
Edges With Duplicates : 4053
Total Edges : 19572
Self-Loops : 2911
Reciprocated Vertex Pair Ratio : 0.0127711331846746
Reciprocated Edge Ratio : 0.0252201761409127
Connected Components : 1768
Single-Vertex Connected Components : 1127
Maximum Vertices in a Connected Component : 6441
Maximum Edges in a Connected Component : 15403
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.844065
Graph Density : 0.000156907408988207
Modularity : 0.681304
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 9,774 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk week 24) of 12046 tweet IDs, or who were replied to or mentioned in those tweets. 11779 out of 12046 tweets were collected. The network was obtained from Twitter on Wednesday, 09 September 2020 at 19:53 UTC.
The tweets in the network were tweeted over the 6-day, 22-hour, 26-minute period from Tuesday, 01 September 2020 at 01:33 UTC to Monday, 07 September 2020 at 23:59 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 - covid19uk week 24
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:
[1211] matt,hancock [1179] new,cases [1167] covid,19 [1048] #covid19,#covid19uk [947] cases,#covid19uk [937] 3000,new [882] nearly,3000 [878] #covid19uk,still [847] telling,people [846] fuck,sake Top Word Pairs in Tweet in G1:
[338] #borisjohnson,lied [338] lied,uk [338] uk,having [338] having,cure [338] cure,#covid19uk [338] #covid19uk,#dexamethasone [338] #dexamethasone,cure [338] cure,please [338] please,anyone [338] anyone,loved Top Word Pairs in Tweet in G2:
[165] #covid19,#covid19uk [76] covid,19 [52] #covid19uk,#covid19 [49] #greylit,#greyliterature [49] #greyliterature,#nglc [47] #nglc,#covid19 [40] back,school [37] #coronavirus,#covid19 [33] #covid19uk,#covidiots [32] #covid,#covid19uk Top Word Pairs in Tweet in G3:
[803] cases,#covid19uk [790] matt,hancock [774] nearly,3000 [772] new,cases [770] thank,matt [770] hancock,confirming [770] confirming,knew [770] knew,kids [770] kids,spreaders [770] spreaders,catch Top Word Pairs in Tweet in G4:
[52] 7m,income [52] income,#covid19uk [52] #covid19uk,work [52] work,sight [52] sight,sport [52] sport,events [52] events,even [52] even,close [52] close,start [52] start,rishisunak Top Word Pairs in Tweet in G5:
[266] matt,hancock [255] covid,deaths [255] less,month [254] hancock,lbc [254] lbc,young [254] young,people [254] people,seriously [254] seriously,ill [254] ill,6 [254] 6,months Top Word Pairs in Tweet in G6:
[483] #covid19,#covid19uk [482] covid,19 [480] coronavirus,covid [480] trend,datasource [480] #corona,#covid19 [336] datasource,department [336] department,health [300] england,coronavirus [300] health,social [300] social,care Top Word Pairs in Tweet in G7:
[15] van,tam [15] social,distancing [14] banham,poultry [12] matt,hancock [12] reminder,uk [12] uk,universities [12] universities,science [12] science,#facemasks [12] #facemasks,effective [12] effective,face Top Word Pairs in Tweet in G8:
[128] covid,19 [124] #disabled,people [120] during,covid [120] 19,pandemic [118] health,minister [118] minister,asked [118] asked,department [118] department,took [118] took,five [118] five,months Top Word Pairs in Tweet in G9:
[26] covid,19 [23] health,care [21] uk,whistleblowing [21] whistleblowing,law [20] nolliag66,curethenhs [20] curethenhs,jadetaylor8 [20] jadetaylor8,wirral_in_it [20] wirral_in_it,russelldunkeld [20] russelldunkeld,drbobgill [20] drbobgill,sardariclare Top Word Pairs in Tweet in G10:
[236] #covid19uk,#coronavirusuk [172] new,cases [100] uk,today [99] throughout,uk [81] cases,throughout [64] northern,ireland [57] #covid19,#covid19uk [56] 3000,new [53] coronavirus,covid [53] covid,19 Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: