The graph represents a network of 2,212 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 2/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 February 2023 at 23:10 UTC.
The tweets in the network were tweeted over the 3396-day, 1-hour, 22-minute period from Thursday, 17 October 2013 at 15:42 UTC to Friday, 03 February 2023 at 17:05 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 : 2212
Unique Edges : 2316
Edges With Duplicates : 7229
Total Edges : 9545
Number of Edge Types : 9
Tweet : 1741
Retweet : 2210
MentionsInRetweet : 3331
Mentions : 1824
Replies to : 69
MentionsInReplyTo : 119
MentionsInQuote : 136
Quote : 114
MentionsInQuoteReply : 1
Self-Loops : 1964
Reciprocated Vertex Pair Ratio : 0.0512461495379446
Reciprocated Edge Ratio : 0.0974960042621204
Connected Components : 214
Single-Vertex Connected Components : 163
Maximum Vertices in a Connected Component : 1878
Maximum Edges in a Connected Component : 9093
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.916871
Graph Density : 0.000767574260867289
Modularity : 0.333653
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 2,212 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 2/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 February 2023 at 23:10 UTC.
The tweets in the network were tweeted over the 3396-day, 1-hour, 22-minute period from Thursday, 17 October 2013 at 15:42 UTC to Friday, 03 February 2023 at 17:05 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:
[604] disastertech,hackathon [566] hurricane,katrina [521] #smem,#disastertech [418] emergency,apps [418] katrina,emergency [402] honors,hurricane [402] hackathon,honors [342] weekly,#smem [342] disasternet,weekly [335] #disastertech,stories Top Word Pairs in Tweet in G1:
[494] #smem,#disastertech [469] hurricane,katrina [449] disastertech,hackathon [413] katrina,emergency [413] emergency,apps [400] honors,hurricane [400] hackathon,honors [337] weekly,#smem [337] disasternet,weekly [330] #disastertech,stories Top Word Pairs in Tweet in G2:
[72] innovation,disaster [58] whitehouseostp,unleashing [45] #disastertech,#prepareathon [44] tech,innovation [43] disaster,response [43] disaster,preparedness [40] preparedness,#disastertech [39] unleashing,tech [37] #disastertech,hackathon [36] response,recovery Top Word Pairs in Tweet in G3:
[135] learn,more [100] disaster,tech [59] visit,#disastertech [57] #disastertech,#emgtwitter [53] head,over [52] more,visit [46] dice,platform [31] 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:
[40] disaster,tech [34] tech,lab [29] #disastertech,#commisaid [25] #refugeecrisis,#disastertech [21] #nepalearthquake,#disastertech [21] #commisaid,#disastertech [20] peoplefinder,live [20] live,#nepalearthquake [18] cambiumnetworks,equipment [18] google,peoplefinder Top Word Pairs in Tweet in G6:
[80] disastertech,hackathon [63] hurricane,katrina [61] honor,hurricane [61] hackathon,honor [46] mgmt,disastertech [46] emergency,mgmt [14] first,disastertech [10] canada,first [10] host,canada [10] #disastertech,#hackathon Top Word Pairs in Tweet in G7:
[10] techsoup,#nonprofits [8] read,more [7] crisis,response [7] cto,anna [5] build,resilience [5] strikes,join [5] 10,2pm [5] calamity,strikes [5] #techindisasters,forum [5] pandemics,learn Top Word Pairs in Tweet in G8:
[21] habe,ramianfathi [13] vost_de,gesprochen [13] ramianfathi,vost_de [13] #hotspotpodcast,001 [13] 001,draussen [13] draussen,habe [13] digitale,einsatzkräfte [13] gesprochen,digitale [12] niklas_jordan,#hotspotpodcast [9] ireland,developed Top Word Pairs in Tweet in G9:
[21] tech,awards [17] #disastertech,#dtech [16] safe,steps [15] steps,tech [14] gt,gt [13] #safesteps,#disastertech [12] save,lives [10] win,grants [10] tech,solutions [9] #safesteps,#dtech Top Word Pairs in Tweet in G10:
[35] #disastertech,hackathon [24] hurricane,katrina [21] follow,hootsuitelabs [21] updates,inaugural [21] inaugural,#disastertech [21] katrina,#smem [21] live,updates [21] hootsuitelabs,live [20] hackathon,honoring [20] honoring,hurricane Top Replied-To in Entire Graph:
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Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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: