The graph represents a network of 1,646 Twitter users whose recent tweets contained "#Kentuckyflood", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 02 August 2022 at 16:19 UTC.
The tweets in the network were tweeted over the 5-day, 4-hour, 54-minute period from Thursday, 28 July 2022 at 11:13 UTC to Tuesday, 02 August 2022 at 16:07 UTC.
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 : 1646
Unique Edges : 1940
Edges With Duplicates : 246
Total Edges : 2186
Number of Edge Types : 5
Mentions : 230
Tweet : 371
Replies to : 133
Retweet : 1163
MentionsInRetweet : 289
Self-Loops : 386
Reciprocated Vertex Pair Ratio : 0.0164705882352941
Reciprocated Edge Ratio : 0.0324074074074074
Connected Components : 306
Single-Vertex Connected Components : 187
Maximum Vertices in a Connected Component : 964
Maximum Edges in a Connected Component : 1370
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.631255
Graph Density : 0.000638187075973069
Modularity : 0.775591
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,646 Twitter users whose recent tweets contained "#Kentuckyflood", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 02 August 2022 at 16:19 UTC.
The tweets in the network were tweeted over the 5-day, 4-hour, 54-minute period from Thursday, 28 July 2022 at 11:13 UTC to Tuesday, 02 August 2022 at 16:07 UTC.
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 : TwitterSearch
Graph Term : #Kentuckyflood
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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[358] #kywx,#kentuckyflood [338] lost,loved [326] #kentuckyflood,#606strong [312] help,#kywx [311] flood,happened [311] happened,vote [311] vote,crowd [311] crowd,being [311] being,punished [311] punished,live Top Word Pairs in Tweet in G1:
[328] #kywx,#kentuckyflood [304] #kentuckyflood,#606strong [303] flood,happened [303] happened,vote [303] vote,crowd [303] crowd,being [303] being,punished [303] punished,live [303] live,crowd [303] crowd,shut Top Word Pairs in Tweet in G2:
[218] #teamkentucky,#kentuckyflood [189] meet,k9 [189] k9,callie [189] callie,searched [189] searched,teammates [189] teammates,ground [189] ground,search [189] search,boat [189] boat,teams [189] teams,helicopter Top Word Pairs in Tweet in G3:
[17] #kentucky,#kentuckyflood [16] #kentuckyflooding,#kentuckyflood [16] #kentuckyflood,#kentuckystrong [14] #kentuckyflood,#kentucky [13] death,toll [13] #kentuckyflood,#kentuckyflooding [12] eastern,kentucky [8] kentucky,flood [8] people,kentucky [8] #kentucky,#kentuckyflooding Top Word Pairs in Tweet in G4:
[59] #flood,#flooding [59] #flooding,#disaster [58] #kentuckyflood,#appalachia [58] #appalachia,#dat [58] #dat,#flood [58] #disaster,#inundación [38] #kentucky,#kentuckyflooding [38] #kentuckyflooding,#kyflood [26] #kentuckyflooding,#kentuckyflood [24] #kyflood,#kentuckyflood Top Word Pairs in Tweet in G5:
[97] #kentuckystrong,#kentuckyflood [93] schools,grocery [93] grocery,stores [93] stores,#kentuckyflooding [93] #kentuckyflooding,left [93] left,people [93] people,running [93] running,water [93] water,power [93] power,#easternkentucky Top Word Pairs in Tweet in G6:
[45] heroes,human [45] human,dog [45] dog,callie [45] callie,search [45] search,rescue [45] rescue,dog [45] dog,dod [45] dod,instrumental [45] instrumental,locating [45] locating,deceased Top Word Pairs in Tweet in G7:
[84] rescue,assets [42] fema,urban [42] urban,search [42] search,rescue [42] assets,deployed [42] deployed,southeastern [42] southeastern,kentucky [42] kentucky,water [42] water,rescue [42] assets,ohio Top Word Pairs in Tweet in G8:
[18] #kywx,#kentuckyflood [10] helpers,jackson [10] jackson,kentucky [10] kentucky,july [10] july,2022 [10] 2022,flood [10] flood,#kentucky [10] #kentucky,#kentuckyflooding [10] #kentuckyflooding,#kentuckystrong [10] #kentuckystrong,#flood Top Word Pairs in Tweet in G9:
[14] consider,donating [14] donating,support [14] support,relief [14] relief,efforts [14] efforts,kentucky [14] kentucky,beloved [14] beloved,media [14] media,institution [14] institution,filmmaking [14] filmmaking,center Top Word Pairs in Tweet in G10:
[20] mitch,mcconnell [20] mcconnell,rand [20] rand,paul [20] paul,spin [20] spin,fox [20] fox,#climatechange [20] #climatechange,#kentuckyflood [9] #kentuckyflood,#606strong [9] #606strong,morgfair [9] morgfair,meowmiya88 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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: