The graph represents a network of 7,398 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, 29 November 2020 at 20:41 UTC.
The requested start date was Saturday, 28 November 2020 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 10-day, 14-hour, 4-minute period from Tuesday, 17 November 2020 at 09:56 UTC to Saturday, 28 November 2020 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 : 7398
Unique Edges : 4074
Edges With Duplicates : 11026
Total Edges : 15100
Number of Edge Types : 5
Tweet : 1699
Retweet : 5003
MentionsInRetweet : 6590
Mentions : 1412
Replies to : 396
Self-Loops : 1719
Reciprocated Vertex Pair Ratio : 0.0114942528735632
Reciprocated Edge Ratio : 0.0227272727272727
Connected Components : 1557
Single-Vertex Connected Components : 891
Maximum Vertices in a Connected Component : 2179
Maximum Edges in a Connected Component : 5806
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 4.028807
Graph Density : 0.000141512693948136
Modularity : 0.525672
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 7,398 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, 29 November 2020 at 20:41 UTC.
The requested start date was Saturday, 28 November 2020 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 10-day, 14-hour, 4-minute period from Tuesday, 17 November 2020 at 09:56 UTC to Saturday, 28 November 2020 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:
[2221] disaster,response [1631] disaster,recovery [736] personal,observation [736] observation,someone [736] someone,doing [736] doing,fieldwork [736] fieldwork,situation [736] situation,twitter [736] twitter,vastly [736] vastly,different Top Word Pairs in Tweet in G1:
[601] disaster,recovery [338] disaster,response [68] recovery,plan [50] business,continuity [49] site,recovery [47] vm,disaster [46] increased,disk [46] disk,size [46] azure,vm [45] azure,site Top Word Pairs in Tweet in G2:
[710] personal,observation [710] observation,someone [710] someone,doing [710] doing,fieldwork [710] fieldwork,situation [710] situation,twitter [710] twitter,vastly [710] vastly,different [710] different,situation [709] jervismanahan,personal Top Word Pairs in Tweet in G3:
[320] president,duterte [320] duterte,threatened [320] threatened,defund [320] defund,university [320] university,philippines [320] philippines,over [320] over,calls [320] calls,academic [320] academic,strikes [320] strikes,protest Top Word Pairs in Tweet in G4:
[283] disaster,response [90] response,team [90] instead,laying [90] laying,plans [90] plans,covid [90] covid,disaster [90] response,nagdrama [90] nagdrama,pa [90] pa,talaga [90] talaga,sya Top Word Pairs in Tweet in G5:
[283] back,better [281] build,back [279] human,without [279] without,corporate [279] corporate,soul [279] soul,uttered [279] uttered,build [279] better,course [279] course,speaking [279] speaking,english Top Word Pairs in Tweet in G6:
[116] duterte,point [116] point,coordinate [116] coordinate,day [116] day,impact [116] impact,reacting [116] reacting,put [116] put,things [116] things,place [116] place,before [115] grpfallenangel,duterte Top Word Pairs in Tweet in G7:
[187] disaster,response [182] response,force [172] force,drf [171] hyderabad,1st [171] 1st,city [171] city,india [171] india,trained [171] trained,disaster [170] support,leadership [170] leadership,cares Top Word Pairs in Tweet in G8:
[152] disaster,recovery [32] recovery,plans [27] recovery,plan [24] improve,disaster [23] backup,disaster [20] cloud,improve [19] move,cloud [18] data,loss [17] learn,more [16] read,more Top Word Pairs in Tweet in G9:
[88] disaster,response [81] national,disaster [63] response,force [26] force,ndrf [18] tamil,nadu [13] cyclone,nivar [12] ndrf,national [12] force,hadf [12] hadf,human [12] human,assistance Top Word Pairs in Tweet in G10:
[108] disaster,recovery [21] increased,disk [20] support,increased [20] disk,size [20] vm,disaster [20] recovery,generally [18] cloud,disaster [17] generally,available [17] vmware,cloud [17] site,recovery Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G10: