The graph represents a network of 414 Twitter users whose tweets in the requested range contained "#TheFightIsInUs", 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 00:31 UTC.
The requested start date was Wednesday, 16 September 2020 at 00:01 UTC and the maximum number of days (going backward) was 30.
The maximum number of tweets collected was 15,000.
The tweets in the network were tweeted over the 29-day, 1-hour, 54-minute period from Monday, 17 August 2020 at 13:55 UTC to Tuesday, 15 September 2020 at 15:50 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 : 414
Unique Edges : 41
Edges With Duplicates : 850
Total Edges : 891
Number of Edge Types : 5
Retweet : 416
MentionsInRetweet : 416
Replies to : 2
Mentions : 21
Tweet : 36
Self-Loops : 37
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 23
Single-Vertex Connected Components : 7
Maximum Vertices in a Connected Component : 321
Maximum Edges in a Connected Component : 732
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 1.987077
Graph Density : 0.00229263899123884
Modularity : 0.322112
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 414 Twitter users whose tweets in the requested range contained "#TheFightIsInUs", 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 00:31 UTC.
The requested start date was Wednesday, 16 September 2020 at 00:01 UTC and the maximum number of days (going backward) was 30.
The maximum number of tweets collected was 15,000.
The tweets in the network were tweeted over the 29-day, 1-hour, 54-minute period from Monday, 17 August 2020 at 13:55 UTC to Tuesday, 15 September 2020 at 15:50 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 : #TheFightIsInUs
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:
[399] covid,19 [243] save,lives [242] ve,covid [242] 19,plasma [242] plasma,literally [242] literally,save [234] find,donate [232] lives,find [232] donate,go [172] mayoclinic,ve Top Word Pairs in Tweet in G1:
[369] covid,19 [222] ve,covid [222] 19,plasma [222] plasma,literally [222] literally,save [222] save,lives [222] lives,find [222] find,donate [222] donate,go [172] mayoclinic,ve Top Word Pairs in Tweet in G2:
[10] recovered,#covid19 [10] unite,against [9] #usa,#resilience [9] #resilience,#psa [9] #psa,recovered [9] #covid19,consider [9] consider,joining [9] joining,effort [9] effort,unite [8] covid,19 Top Word Pairs in Tweet in G4:
[15] donating,plasma [10] recovered,#covid19 [8] help,those [8] learn,more [6] help,fight [6] fight,back [6] back,against [6] against,#covid19 [6] #covid19,donating [6] ve,tested Top Word Pairs in Tweet in G5:
[7] covid,19 [5] ve,covid [5] 19,plasma [5] plasma,literally [5] literally,save [5] save,lives [4] patients,rely [4] rely,day [4] day,people [4] people,donate Top Word Pairs in Tweet in G6:
[3] lot,fight [3] fight,help [3] help,world [3] world,fight [3] fight,back [3] back,donating [2] survived,#covid19 [2] #covid19,lot [2] donating,plasma Top Word Pairs in Tweet in G7:
[6] survived,covid [6] covid,19 [6] 19,lot [6] lot,fight [6] fight,help [6] help,world [6] world,fight [6] fight,back [6] back,donating [6] donating,plasma Top Word Pairs in Tweet in G8:
[4] ve,covid [4] covid,19 [4] 19,plasma [4] plasma,literally [4] literally,save [4] save,lives [4] lives,please [4] please,go [4] go,find [2] samuelljackson,ve Top Word Pairs in Tweet in G9:
[4] ve,covid [4] covid,19 [4] 19,plasma [4] plasma,literally [4] literally,save [4] save,lives [4] lives,please [4] please,go [4] go,find [2] youâ,ve Top Word Pairs in Tweet in G10:
[2] antibodies,blood Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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 G7:
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: