The graph represents a network of 11,571 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 16 September 2020 at 07:49 UTC.
The requested start date was Wednesday, 16 September 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 3-day, 20-hour, 15-minute period from Friday, 11 September 2020 at 07:04 UTC to Tuesday, 15 September 2020 at 03:19 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 : 11571
Unique Edges : 6563
Edges With Duplicates : 11985
Total Edges : 18548
Number of Edge Types : 5
Retweet : 5515
MentionsInRetweet : 6560
Tweet : 3296
Replies to : 847
Mentions : 2330
Self-Loops : 3324
Reciprocated Vertex Pair Ratio : 0.00318167356029271
Reciprocated Edge Ratio : 0.00634316523945449
Connected Components : 3380
Single-Vertex Connected Components : 880
Maximum Vertices in a Connected Component : 1859
Maximum Edges in a Connected Component : 3968
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 8.467303
Graph Density : 7.06546863687099E-05
Modularity : 0.579616
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 11,571 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 16 September 2020 at 07:49 UTC.
The requested start date was Wednesday, 16 September 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 3-day, 20-hour, 15-minute period from Friday, 11 September 2020 at 07:04 UTC to Tuesday, 15 September 2020 at 03:19 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 : COVID
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:
[3146] covid,19 [142] covid,cases [124] died,covid [115] due,covid [113] made,wuhan [112] 19,pandemic [112] 19,made [111] wuhan,lab [103] proof,covid [99] claims,proof Top Word Pairs in Tweet in G1:
[452] covid,19 [18] 19,cases [18] 19,pandemic [13] #covid,19 [13] penyebaran,covid [12] क,र [11] during,covid [10] contra,covid [10] र,न [9] menjaga,jarak Top Word Pairs in Tweet in G2:
[96] covid,19 [36] covid,response [33] weekly,reports [32] federal,judge [32] judge,ruled [32] ruled,unconstitutional [32] unconstitutional,shut [32] shut,down [32] down,businesses [32] businesses,limit Top Word Pairs in Tweet in G3:
[26] covid,19 [17] allowed,write [17] write,#neet [13] covid,cases [13] क,ल [9] dr,swamy39 [9] क,स [9] क,ष [9] य,त [9] त,व Top Word Pairs in Tweet in G4:
[62] yes,earth [62] earth,continue [62] continue,orbit [62] orbit,sun [62] sun,yes [62] yes,become [62] become,fall [62] fall,northern [62] northern,hemisphere [62] hemisphere,ll Top Word Pairs in Tweet in G5:
[26] bbc,scotland [19] covid,briefings [13] good,morning [13] morning,haven [13] haven,already [13] already,please [13] please,download [13] download,today [13] today,encourage [13] encourage,friends Top Word Pairs in Tweet in G6:
[75] covid,19 [26] cuarentena,radical [23] contra,covid [22] semana,cuarentena [18] #cuarentenaradicaldisciplinada,semana [16] radical,disciplinada [15] vtvcanal8,#envideo [14] #14sep,etiqueta [14] disciplinada,seguimos [14] 899,casos Top Word Pairs in Tweet in G7:
[35] covid,19 [34] modi,govt [29] against,covid [27] govt,well [27] well,planned [27] planned,fight [27] fight,against [27] covid,put [27] put,india [27] india,abyss Top Word Pairs in Tweet in G8:
[48] died,covid [23] cdc,reports [23] border,zero [23] friends,parents [23] parents,died [23] covid,covid [23] covid,related [23] related,issues [23] issues,parents [23] parents,hospital Top Word Pairs in Tweet in G9:
[32] covid,testing [32] testing,west [32] west,london [32] london,today [32] today,walk [32] walk,drive [32] drive,thru [32] thru,means [32] means,two [32] two,nhs Top Word Pairs in Tweet in G10:
[55] friendly,reminder [55] reminder,explicit [55] explicit,intention [55] intention,covid [55] covid,lockdowns [55] lockdowns,prevent [55] prevent,hospital [55] hospital,capacity [55] capacity,overload [54] josh_hammer,friendly Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: