The graph represents a network of 7,226 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, 21 May 2022 at 19:20 UTC.
The requested start date was Saturday, 21 May 2022 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 13-day, 23-hour, 52-minute period from Saturday, 07 May 2022 at 00:07 UTC to Saturday, 21 May 2022 at 00:00 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 : 7226
Unique Edges : 3182
Edges With Duplicates : 10001
Total Edges : 13183
Number of Edge Types : 5
Retweet : 4527
MentionsInRetweet : 5331
Replies to : 331
Tweet : 1789
Mentions : 1205
Self-Loops : 1823
Reciprocated Vertex Pair Ratio : 0.015505090054816
Reciprocated Edge Ratio : 0.0305367057371993
Connected Components : 1655
Single-Vertex Connected Components : 956
Maximum Vertices in a Connected Component : 945
Maximum Edges in a Connected Component : 1912
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 3.172332
Graph Density : 0.000124195882419981
Modularity : 0.524106
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 7,226 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, 21 May 2022 at 19:20 UTC.
The requested start date was Saturday, 21 May 2022 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 13-day, 23-hour, 52-minute period from Saturday, 07 May 2022 at 00:07 UTC to Saturday, 21 May 2022 at 00:00 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:
[3158] disaster,recovery [1332] disaster,response [853] angat,buhay [837] tropang,angat [837] buhay,lahat [836] idea,numbers [836] numbers,country [836] country,14 [836] 14,million [836] million,strong Top Word Pairs in Tweet in G1:
[730] disaster,recovery [248] disaster,response [92] recovery,plan [78] climate,change [77] business,continuity [72] cloud,backup [72] resilient,infrastructure [72] infrastructure,faster [72] faster,disaster [72] recovery,needed Top Word Pairs in Tweet in G2:
[835] disaster,recovery [834] nft,crypto [834] crypto,disaster [834] recovery,sitting [834] sitting,big [834] big,losses [834] losses,feeling [834] feeling,anxious [834] anxious,frozen [834] frozen,idea Top Word Pairs in Tweet in G3:
[833] angat,buhay [831] idea,numbers [831] numbers,country [831] country,14 [831] 14,million [831] million,strong [831] strong,tropang [831] tropang,angat [831] buhay,lahat [830] kevinmanalo_,idea Top Word Pairs in Tweet in G4:
[292] disaster,recovery [48] recovery,plan [43] backup,disaster [36] business,continuity [33] recovery,journal [26] recovery,solution [25] continuity,disaster [23] best,business [22] organizations,activated [21] activated,disaster Top Word Pairs in Tweet in G5:
[219] disaster,response [218] assam,alone [218] alone,rescue [218] rescue,relief [218] relief,operations [218] operations,intensified [218] intensified,army [218] army,national [218] national,disaster [217] sunil_deodhar,assam Top Word Pairs in Tweet in G6:
[201] dba,oracle [201] oracle,senior [201] senior,20 [201] 20,anos [201] anos,experiência [201] experiência,especialista [201] especialista,em [201] em,disaster [201] disaster,recovery [201] recovery,dataguard Top Word Pairs in Tweet in G7:
[77] #easterncommand,#brahmastracorps [77] #brahmastracorps,#indianarmy [77] #indianarmy,conducts [77] conducts,disaster [77] disaster,management [77] management,training [77] training,newly [77] newly,raised [77] raised,jharkhand [77] jharkhand,state Top Word Pairs in Tweet in G8:
[134] earlier,week [134] week,devastating [134] devastating,flood [134] flood,struck [134] struck,local [134] local,governments [134] governments,killing [134] killing,breadwinners [134] breadwinners,kids [134] kids,displacing Top Word Pairs in Tweet in G9:
[50] disaster,recovery [20] disaster,response [18] #happeningtoday,mexicans [18] mexicans,affected [18] affected,wildfires [18] wildfires,visit [17] femaregion6,#happeningtoday [17] mobile,disaster [16] 14,fema [16] fema,rolling Top Word Pairs in Tweet in G10:
[96] datamall,chain [96] chain,testnet [96] testnet,beta [96] beta,online [96] online,version [96] version,releases [96] releases,update [96] update,including [96] including,node [96] node,operation Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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 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: