The graph represents a network of 7,316 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, 05 June 2021 at 19:12 UTC.
The requested start date was Saturday, 05 June 2021 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, 55-minute period from Saturday, 22 May 2021 at 00:04 UTC to Saturday, 05 June 2021 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 : 7316
Unique Edges : 4390
Edges With Duplicates : 10582
Total Edges : 14972
Number of Edge Types : 5
Retweet : 4685
MentionsInRetweet : 6356
Tweet : 1747
Mentions : 1772
Replies to : 412
Self-Loops : 1786
Reciprocated Vertex Pair Ratio : 0.0187954996690933
Reciprocated Edge Ratio : 0.036897492529557
Connected Components : 1624
Single-Vertex Connected Components : 925
Maximum Vertices in a Connected Component : 2580
Maximum Edges in a Connected Component : 6978
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.731935
Graph Density : 0.000143824694197345
Modularity : 0.534648
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 7,316 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, 05 June 2021 at 19:12 UTC.
The requested start date was Saturday, 05 June 2021 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, 55-minute period from Saturday, 22 May 2021 at 00:04 UTC to Saturday, 05 June 2021 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:
[2433] disaster,response [2250] disaster,recovery [932] national,disaster [927] response,force [505] force,ndrf [465] state,disaster [445] response,fund [382] rescue,people [381] ndrf,team [381] team,best Top Word Pairs in Tweet in G1:
[722] disaster,recovery [256] disaster,response [101] business,continuity [95] recovery,plan [57] response,force [47] backup,disaster [47] take,look [46] look,case [46] case,study [44] national,disaster Top Word Pairs in Tweet in G2:
[260] disaster,response [214] national,disaster [198] response,force [144] ndtv,#cycloneyaas [83] force,ndrf [62] west,bengal [48] sn,pradhan [46] director,general [46] pradhan,director [45] #cycloneyaas,sea Top Word Pairs in Tweet in G3:
[359] national,disaster [359] disaster,response [359] response,force [358] force,ndrf [357] ndrf,team [357] team,best [357] best,rescue [357] rescue,people [357] people,vekutia [357] vekutia,nandigram Top Word Pairs in Tweet in G4:
[252] #cycloneyaas,wrecked [252] wrecked,havoc [252] havoc,odisha [252] odisha,affecting [252] affecting,both [252] both,life [252] life,livelihoods [252] livelihoods,fm [252] fm,nsitharaman [252] nsitharaman,ji Top Word Pairs in Tweet in G5:
[182] indiacoastguard,#cycloneyaas [131] ships,aircraft [125] #वयम,रक [125] रक,ष [125] ष,म [124] म,indiacoastguard [124] indiacoastguard,ships [124] aircraft,ros [124] ros,continue [124] continue,relay Top Word Pairs in Tweet in G6:
[214] disaster,response [210] claim,under [210] under,provision [210] provision,state [210] state,disaster [210] response,fund [210] fund,sdrf [210] sdrf,families [210] families,those [210] those,died Top Word Pairs in Tweet in G7:
[124] federal,government [103] national,cabinet [93] plan,protect [92] protect,incomes [88] disaster,recovery [72] bring,plan [71] incomes,lockdowns [69] government,bring [69] lockdowns,national [69] cabinet,friday Top Word Pairs in Tweet in G8:
[161] disaster,response [158] state,disaster [158] response,fund [157] decide,state [157] fund,75 [157] 75,goi [157] goi,25 [157] 25,state [157] state,goi [157] goi,giving Top Word Pairs in Tweet in G9:
[176] disaster,recovery [67] recovery,plan [37] backup,disaster [26] business,continuity [14] continuity,disaster [13] create,disaster [11] vmwarecloud,disaster [11] disaster,recove [9] data,protection [9] cyber,security Top Word Pairs in Tweet in G10:
[96] prime,minister [80] disaster,response [58] national,disaster [45] response,force [43] recently,spoke [43] spoke,prime [43] minister,regards [43] regards,changes [43] changes,needed [43] needed,relief Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
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: