The graph represents a network of 2,162 Twitter users whose recent tweets contained "disastertech", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/13/2023 5:00:34 PM. The network was obtained from Twitter on Saturday, 14 January 2023 at 22:09 UTC.
The tweets in the network were tweeted over the 3375-day, 0-hour, 26-minute period from Thursday, 17 October 2013 at 15:42 UTC to Friday, 13 January 2023 at 16:09 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.
Author Description
Vertices : 2162
Unique Edges : 2276
Edges With Duplicates : 7330
Total Edges : 9606
Number of Edge Types : 9
Tweet : 1688
Retweet : 2257
MentionsInRetweet : 3388
Mentions : 1809
Replies to : 68
MentionsInReplyTo : 118
MentionsInQuote : 147
Quote : 130
MentionsInQuoteReply : 1
Self-Loops : 1911
Reciprocated Vertex Pair Ratio : 0.0514253773057574
Reciprocated Edge Ratio : 0.0978203083466241
Connected Components : 169
Single-Vertex Connected Components : 117
Maximum Vertices in a Connected Component : 1871
Maximum Edges in a Connected Component : 9202
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.918179
Graph Density : 0.000805208470228048
Modularity : 0.328912
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 2,162 Twitter users whose recent tweets contained "disastertech", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/13/2023 5:00:34 PM. The network was obtained from Twitter on Saturday, 14 January 2023 at 22:09 UTC.
The tweets in the network were tweeted over the 3375-day, 0-hour, 26-minute period from Thursday, 17 October 2013 at 15:42 UTC to Friday, 13 January 2023 at 16:09 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 : TwitterSearch2
Graph Term : disastertech
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:
[549] disastertech,hackathon [520] #smem,#disastertech [509] hurricane,katrina [417] emergency,apps [417] katrina,emergency [402] honors,hurricane [402] hackathon,honors [342] weekly,#smem [342] disasternet,weekly [335] #disastertech,stories Top Word Pairs in Tweet in G1:
[440] #smem,#disastertech [338] weekly,#smem [338] disasternet,weekly [331] #disastertech,stories [109] #disastertech,#smem [83] disasternet,disasternet [31] disaster,response [29] stories,eric_holdeman [24] disaster,relief [22] social,media Top Word Pairs in Tweet in G2:
[70] innovation,disaster [58] whitehouseostp,unleashing [45] #disastertech,#prepareathon [44] tech,innovation [43] disaster,preparedness [42] disaster,response [40] preparedness,#disastertech [39] unleashing,tech [33] response,recovery [33] #disastertech,#innovation Top Word Pairs in Tweet in G3:
[122] learn,more [91] disaster,tech [55] #disastertech,#emgtwitter [49] head,over [48] visit,#disastertech [45] more,visit [45] dice,platform [25] epic,ready [23] data,science [19] ibm,test Top Word Pairs in Tweet in G4:
[207] #disastertech,#hackathon [146] canada's,first [130] first,#disastertech [101] oneeleven_111,avivacanada [68] #disastertech,hackathon [65] avivacanada,canada's [60] partners,oneeleven_111 [58] disastertech,hackathon [54] sascanada,partners [49] canada,first Top Word Pairs in Tweet in G5:
[41] disaster,tech [34] tech,lab [29] #disastertech,#commisaid [25] #refugeecrisis,#disastertech [22] #commisaid,#disastertech [20] #nepalearthquake,#disastertech [19] peoplefinder,live [19] live,#nepalearthquake [18] cambiumnetworks,equipment [17] installing,cambiumnetworks Top Word Pairs in Tweet in G6:
[474] hurricane,katrina [435] disastertech,hackathon [404] katrina,emergency [404] emergency,apps [400] honors,hurricane [400] hackathon,honors [135] #disastertech,hackathon [58] #disastertech,#hackathon [56] #smem,#disastertech [46] #hackathon,#smem Top Word Pairs in Tweet in G7:
[30] disastertech,hackathon [14] first,disastertech [13] hurricane,katrina [11] hackathon,honor [11] honor,hurricane [10] canada,first [10] host,canada [10] #disastertech,#hackathon [8] oneeleven,aviva [8] aviva,canada Top Word Pairs in Tweet in G8:
[10] techsoup,#nonprofits [8] read,more [7] cto,anna [7] crisis,response [5] recovery,fund [5] forum,live [5] resilience,calamity [5] potential,disasters [5] 2pm,pt [5] build,resilience Top Word Pairs in Tweet in G9:
[19] tech,awards [17] #disastertech,#dtech [14] gt,gt [14] safe,steps [13] steps,tech [13] #safesteps,#disastertech [11] save,lives [10] win,grants [10] tech,solutions [9] #safesteps,#dtech Top Word Pairs in Tweet in G10:
[7] thanks,forbes [7] #hurricaneflorence,hope [7] hope,future [7] forbes,amplifying [7] learning,#hurricaneflorence [7] future,thanks [6] needslist4good,learning [4] list,vetted [4] support,coordination [4] dynamic,updated Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
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:
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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: