The graph represents a network of 7,721 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, 01 August 2020 at 19:57 UTC.
The requested start date was Saturday, 01 August 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 6-day, 13-hour, 17-minute period from Saturday, 25 July 2020 at 01:13 UTC to Friday, 31 July 2020 at 14:30 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 : 7721
Unique Edges : 2668
Edges With Duplicates : 12611
Total Edges : 15279
Number of Edge Types : 5
Retweet : 6079
MentionsInRetweet : 7117
Tweet : 986
Replies to : 235
Mentions : 862
Self-Loops : 1003
Reciprocated Vertex Pair Ratio : 0.00855668805838681
Reciprocated Edge Ratio : 0.0169681846537742
Connected Components : 973
Single-Vertex Connected Components : 524
Maximum Vertices in a Connected Component : 3795
Maximum Edges in a Connected Component : 8188
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 3.222514
Graph Density : 0.000134466058183287
Modularity : 0.504457
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 7,721 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, 01 August 2020 at 19:57 UTC.
The requested start date was Saturday, 01 August 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 6-day, 13-hour, 17-minute period from Saturday, 25 July 2020 at 01:13 UTC to Friday, 31 July 2020 at 14:30 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:
[2787] small,businesses [2783] helped,save [2783] save,nearly [2783] nearly,million [2783] million,small [2783] businesses,51 [2783] 51,million [2783] million,jobs [2777] paycheck,protection [2777] protection,program Top Word Pairs in Tweet in G1:
[2777] helped,save [2777] save,nearly [2777] nearly,million [2777] million,small [2777] small,businesses [2777] businesses,51 [2777] 51,million [2777] million,jobs [2771] jobs,making [2771] making,one Top Word Pairs in Tweet in G2:
[336] disaster,recovery [177] disaster,response [52] recovery,plan [45] business,continuity [35] covid,19 [29] national,disaster [28] response,force [27] learn,more [24] continuity,disaster [19] google,cloud Top Word Pairs in Tweet in G3:
[248] milking,cow [247] see,pattern [247] pattern,liberals [247] liberals,liberalise [247] liberalise,governement [247] governement,service [247] service,mates [247] mates,made [247] made,millions [247] millions,milking Top Word Pairs in Tweet in G4:
[377] tried,caravans [377] caravans,obamagate [377] obamagate,ms [377] ms,13 [377] 13,antifa [377] antifa,confederate [377] confederate,statues [377] statues,goya [377] goya,beans [377] beans,distract Top Word Pairs in Tweet in G5:
[376] national,disaster [340] disaster,response [338] response,force [239] bihar,25 [225] flood,hit [225] ani,bihar [208] 25,year [208] year,old [208] old,woman [208] woman,gave Top Word Pairs in Tweet in G6:
[153] disaster,recovery [111] extraordinary,generosity [111] generosity,residents [111] residents,#png [111] #png,city [111] city,lae [111] lae,raise [111] raise,61 [111] 61,000 [111] 000,australian Top Word Pairs in Tweet in G7:
[212] box,office [210] #vinayavidheyarama,movie [210] movie,disaster [210] disaster,response [210] response,troll [210] troll,stuff [210] stuff,mr [210] mr,box [210] office,alwaysramcharan [210] alwaysramcharan,crowd Top Word Pairs in Tweet in G8:
[170] uproot,tens [170] tens,thousands [170] thousands,people [170] coronavirus,cases [170] cases,soaring [170] soaring,putting [170] putting,evacuation [169] powerful,hurricanes [169] npr,powerful [168] hurricanes,uproot Top Word Pairs in Tweet in G9:
[218] disaster,response [119] impact,#openinternet [119] #openinternet,disaster [118] tracing,impact [115] satyaprad1,kirenrijiju [115] kirenrijiju,smitaprakash [111] response,satyaprad1 [107] #keepiton,tracing [91] ndrfhq,#keepiton [91] smitaprakash,moderate Top Word Pairs in Tweet in G10:
[51] disaster,recovery [35] data,center [33] center,#backup [32] re,liking [32] liking,solutionsreview [32] solutionsreview,recap [32] recap,2020 [32] 2020,gartner_inc [32] gartner_inc,#magicquadrant [32] #magicquadrant,data Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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: