The graph represents a network of 7,667 Twitter users whose tweets in the requested range contained ""disaster recovery" OR "disaster response"", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 25 December 2021 at 20:10 UTC.
The requested start date was Saturday, 25 December 2021 at 01:01 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 10-day, 1-hour, 8-minute period from Tuesday, 14 December 2021 at 15:51 UTC to Friday, 24 December 2021 at 17:00 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 : 7667
Unique Edges : 2893
Edges With Duplicates : 12497
Total Edges : 15390
Number of Edge Types : 5
Retweet : 6014
MentionsInRetweet : 7071
Mentions : 1030
Tweet : 1023
Replies to : 252
Self-Loops : 1044
Reciprocated Vertex Pair Ratio : 0.00692726373082632
Reciprocated Edge Ratio : 0.0137592137592138
Connected Components : 977
Single-Vertex Connected Components : 528
Maximum Vertices in a Connected Component : 2514
Maximum Edges in a Connected Component : 5989
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.583899
Graph Density : 0.000138493734655736
Modularity : 0.530628
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,667 Twitter users whose tweets in the requested range contained "%22disaster recovery%22 OR %22disaster response%22", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 25 December 2021 at 20:10 UTC.
The requested start date was Saturday, 25 December 2021 at 01:01 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 10-day, 1-hour, 8-minute period from Tuesday, 14 December 2021 at 15:51 UTC to Friday, 24 December 2021 at 17:00 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 : %22disaster recovery%22 OR %22disaster response%22
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:
[2037] disaster,recovery [1709] disaster,response [1039] environment,minister [1039] minister,tuan [1039] tuan,ibrahim [1039] ibrahim,special [1039] special,functions [1039] functions,minister [1039] minister,abdul [1039] abdul,latiff Top Word Pairs in Tweet in G1:
[998] environment,minister [998] minister,tuan [998] tuan,ibrahim [998] ibrahim,special [998] special,functions [998] functions,minister [998] minister,abdul [998] abdul,latiff [998] latiff,ahmad [998] ahmad,nadma Top Word Pairs in Tweet in G2:
[710] malaysia,top [710] top,disaster [710] disaster,responders [710] responders,region [710] region,alongside [710] alongside,singapore [710] singapore,indonesia [710] indonesia,malaysia [710] malaysia,first [709] imnormgoh,malaysia Top Word Pairs in Tweet in G3:
[646] disaster,recovery [641] recovery,kentucky [641] kentucky,going [641] going,take [641] take,long [641] long,time [641] time,ll [641] ll,step [641] step,way [641] way,fema Top Word Pairs in Tweet in G4:
[471] flown,bohol [469] spokesperson,barry [469] barry,gutierrez [469] see,situation [468] gutierrez,confirmed [468] confirmed,vp [445] bohol,personally [445] personally,see [443] ovp,spokesperson [443] vp,lenirobredo Top Word Pairs in Tweet in G5:
[316] disaster,recovery [168] disaster,response [35] recovery,plan [17] recovery,service [16] learn,more [15] backup,disaster [11] recovery,solution [11] iosafe,1520 [11] nas,device [10] business,continuity Top Word Pairs in Tweet in G6:
[129] disaster,response [127] harry,meghan [127] meghan,share [127] share,family [127] family,holiday [127] holiday,card [127] card,photo [127] photo,released [127] released,disaster [127] response,group Top Word Pairs in Tweet in G7:
[218] disaster,recovery [200] recovery,plan [197] tell,site [197] site,disaster [196] iamjkeating,tell [17] vsphere,disaster [10] happy,release [10] release,v1 [10] v1,guide [10] guide,designing Top Word Pairs in Tweet in G8:
[183] disaster,response [63] humanitarian,disaster [56] tugunan,ang [55] patuloy,ang [55] response,hadr [50] ng,ating [49] ating,mga [49] upang,tugunan [48] tingnan,patuloy [48] ang,pagsasagawa Top Word Pairs in Tweet in G9:
[94] prime,gaming [72] #primegaming,drops [72] drops,#battlefield2042 [72] 12,months [72] months,12 [70] 12,individual [70] individual,#primegaming [70] #battlefield2042,platform [70] platform,choosing [70] choosing,here's Top Word Pairs in Tweet in G10:
[76] disaster,recovery [66] disaster,response [36] fema,disaster [35] hope,fema [35] fema,move [35] move,faster [35] faster,help [35] help,#tornado [35] #tornado,survivors [35] survivors,double Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
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 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:
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: