The graph represents a network of 254 Twitter users whose recent tweets contained "disaster risk reduction in asia", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 18,900 tweets, tweeted between 9/12/2022 9:06:55 AM and 9/13/2023 9:06:55 AM. The network was obtained from Twitter on Wednesday, 13 September 2023 at 02:14 UTC.
The tweets in the network were tweeted over the 363-day, 21-hour, 24-minute period from Wednesday, 14 September 2022 at 11:49 UTC to Wednesday, 13 September 2023 at 09:14 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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.
Vertices : 254
Unique Edges : 259
Edges With Duplicates : 77
Total Edges : 336
Self-Loops : 135
Reciprocated Vertex Pair Ratio : 0.0271739130434783
Reciprocated Edge Ratio : 0.0529100529100529
Connected Components : 101
Single-Vertex Connected Components : 66
Maximum Vertices in a Connected Component : 71
Maximum Edges in a Connected Component : 127
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.483882
Graph Density : 0.00294108493355327
Modularity : 0.630797
NodeXL Version : 1.0.1.521
Data Import : The graph represents a network of 254 Twitter users whose recent tweets contained "disaster risk reduction in asia", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 18,900 tweets, tweeted between 9/12/2022 9:06:55 AM and 9/13/2023 9:06:55 AM. The network was obtained from Twitter on Wednesday, 13 September 2023 at 02:14 UTC.
The tweets in the network were tweeted over the 363-day, 21-hour, 24-minute period from Wednesday, 14 September 2022 at 11:49 UTC to Wednesday, 13 September 2023 at 09:14 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch3
Graph Term : disaster risk reduction in asia
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[237] disaster,risk [235] risk,reduction [151] asia,pacific [64] ministerial,conference [64] pacific,ministerial [62] conference,disaster [24] reduction,asia [24] pacific,region [16] climate,change [16] brisbane,australia Top Word Pairs in Tweet in G1:
[93] disaster,risk [91] risk,reduction [66] asia,pacific [31] pacific,ministerial [31] conference,disaster [31] ministerial,conference [14] reduction,asia [13] brisbane,australia [10] reduction,brisbane [8] climate,change Top Word Pairs in Tweet in G2:
[39] risk,reduction [38] disaster,risk [27] asia,pacific [15] conference,disaster [15] pacific,ministerial [15] ministerial,conference [8] leadership,awards [7] pacific,region [6] #disaster,risk [6] accomplishments,women Top Word Pairs in Tweet in G3:
[14] risk,reduction [14] disaster,risk [8] asia,pacific [4] human,rights [4] climate,adaptive [4] workshop,building [4] climate,change [4] reduction,asia [4] adaptive,disaster [4] sharing,workshop Top Word Pairs in Tweet in G4:
[5] risk,reduction [5] disaster,risk [3] south,asia [2] make,india [2] regional,lead [2] hazard,risk [2] grripp,south [2] india,amp [2] management,solutions [2] solutions,program Top Word Pairs in Tweet in G5:
[10] risk,reduction [10] disaster,risk [6] asia,pacific [5] sustainable,development [4] trade,amp [4] commission,session [4] pacific,79th [4] initiatives,india [4] development,asia [4] amp,investment Top Word Pairs in Tweet in G6:
[4] risk,reduction [4] disaster,risk [3] multi,hazards [3] hosted,uhmanoa [2] pdc_global,nemabahamas [2] indopacom,undrr [2] pacific,#mhews [2] #mhews,experts [2] workshop,hosted [2] lessons,learned Top Word Pairs in Tweet in G7:
[3] s,leadership [3] risk,reduction [3] women,s [3] disaster,risk [3] asia,pacific [2] dawn,begins [2] leadership,disaster [2] road,resilient [2] pacific,new [2] new,dawn Top Word Pairs in Tweet in G8:
[7] risk,reduction [7] disaster,risk [2] pr,alimbayevyerlan [2] sendai,framework [2] climate,change [2] 2015,2030 [2] framework,disaster [2] mami,mizutori [2] change,disaster [2] central,asia Top Word Pairs in Tweet in G9:
[2] conference,disaster [2] risk,reduction [2] ministerial,conference [2] pacific,ministerial [2] disaster,risk [2] asia,pacific Top Word Pairs in Tweet in G10:
[4] reduction,south [4] risk,reduction [4] south,asia [4] disaster,risk [4] online,seminar [4] asia,emmanuelraju7 [4] iftikhardadi,online [4] seminar,disaster [3] rkadelhi,iftikhardadi [3] rt,rkadelhi Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: