The graph represents a network of 7,837 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 Sunday, 10 January 2021 at 20:47 UTC.
The requested start date was Saturday, 09 January 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 11-day, 4-hour, 31-minute period from Monday, 28 December 2020 at 20:00 UTC to Saturday, 09 January 2021 at 00:31 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 : 7837
Unique Edges : 2336
Edges With Duplicates : 12597
Total Edges : 14933
Number of Edge Types : 5
Retweet : 5968
MentionsInRetweet : 6608
Tweet : 1016
Mentions : 1048
Replies to : 293
Self-Loops : 1038
Reciprocated Vertex Pair Ratio : 0.0077918647649234
Reciprocated Edge Ratio : 0.0154632420390512
Connected Components : 1045
Single-Vertex Connected Components : 531
Maximum Vertices in a Connected Component : 4391
Maximum Edges in a Connected Component : 9120
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 7.172583
Graph Density : 0.000124261668139699
Modularity : 0.509706
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 7,837 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 Sunday, 10 January 2021 at 20:47 UTC.
The requested start date was Saturday, 09 January 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 11-day, 4-hour, 31-minute period from Monday, 28 December 2020 at 20:00 UTC to Saturday, 09 January 2021 at 00:31 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:
[1850] need,help [1847] help,money [1847] already,bad [1847] bad,ui [1847] retro,package [1847] package,ppl [1847] ppl,counting [1847] counting,gov [1846] aoc,need [1750] money,already Top Word Pairs in Tweet in G1:
[1839] need,help [1839] help,money [1839] already,bad [1839] bad,ui [1839] retro,package [1839] package,ppl [1839] ppl,counting [1839] counting,gov [1838] aoc,need [1742] money,already Top Word Pairs in Tweet in G2:
[709] donate,syria [709] syria,more [709] more,links [709] links,below [707] monipersona,donate Top Word Pairs in Tweet in G3:
[386] disaster,recovery [130] disaster,response [46] business,continuity [41] recovery,plan [24] recovery,business [22] backup,disaster [21] learn,more [18] house,disaster [18] five,key [18] key,points Top Word Pairs in Tweet in G4:
[471] links,síria [471] síria,atenção [471] atenção,petições [471] petições,não [471] não,ajudam [471] ajudam,pois [471] pois,governo [471] governo,não [471] não,importância [471] importância,doe Top Word Pairs in Tweet in G5:
[4] monipersona,donate [4] donate,syria [4] syria,more [4] more,links [4] links,below [3] ryoubxredyet,links [3] links,síria [3] síria,atenção [3] atenção,petições [3] petições,não Top Word Pairs in Tweet in G6:
[333] wag,palakihin [164] abscbnnews,philhealth [164] philhealth,corruption [164] corruption,wag [164] palakihin,corrupt [164] corrupt,government [164] government,wag [164] palakihin,abusive [164] abusive,police [164] police,wag Top Word Pairs in Tweet in G7:
[83] disaster,recovery [46] next,gen [45] gen,cohesity [45] cohesity,sitecontinuity [45] sitecontinuity,provides [45] provides,complete [45] complete,end [45] end,end [45] end,automated [45] automated,#disasterrecovery Top Word Pairs in Tweet in G8:
[162] disaster,recovery [156] meanwhile,scott [156] scott,morrison [156] spent,cent [156] cent,4b [156] 4b,disaster [156] recovery,resilience [156] resilience,fund [156] fund,announced [155] murraywatt,meanwhile Top Word Pairs in Tweet in G9:
[3] monipersona,donate [3] donate,syria [3] syria,more [3] more,links [3] links,below Top Word Pairs in Tweet in G10:
[129] whenever,mishap [129] mishap,natural [129] natural,calamity [129] calamity,national [129] national,disaster [129] disaster,response [129] response,force [129] force,ndrf [129] ndrf,always [129] always,first Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G7:
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: