The graph represents a network of 2,204 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 3/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 March 2023 at 23:25 UTC.
The tweets in the network were tweeted over the 3424-day, 0-hour, 26-minute period from Thursday, 17 October 2013 at 15:42 UTC to Friday, 03 March 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 : 2204
Unique Edges : 2306
Edges With Duplicates : 7224
Total Edges : 9530
Number of Edge Types : 9
Tweet : 1751
Retweet : 2201
MentionsInRetweet : 3333
Mentions : 1802
Replies to : 65
MentionsInReplyTo : 116
MentionsInQuote : 146
Quote : 115
MentionsInQuoteReply : 1
Self-Loops : 1973
Reciprocated Vertex Pair Ratio : 0.0508998875140607
Reciprocated Edge Ratio : 0.0968691463740969
Connected Components : 214
Single-Vertex Connected Components : 163
Maximum Vertices in a Connected Component : 1870
Maximum Edges in a Connected Component : 9034
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.926462
Graph Density : 0.000769656622342244
Modularity : 0.33489
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 2,204 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 3/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 March 2023 at 23:25 UTC.
The tweets in the network were tweeted over the 3424-day, 0-hour, 26-minute period from Thursday, 17 October 2013 at 15:42 UTC to Friday, 03 March 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:
[602] disastertech,hackathon [560] hurricane,katrina [520] #smem,#disastertech [418] emergency,apps [418] katrina,emergency [402] honors,hurricane [402] hackathon,honors [343] weekly,#smem [343] disasternet,weekly [336] #disastertech,stories Top Word Pairs in Tweet in G1:
[487] hurricane,katrina [453] disastertech,hackathon [450] #smem,#disastertech [413] katrina,emergency [413] emergency,apps [400] honors,hurricane [400] hackathon,honors [340] weekly,#smem [340] disasternet,weekly [333] #disastertech,stories Top Word Pairs in Tweet in G2:
[71] innovation,disaster [58] whitehouseostp,unleashing [45] #disastertech,#prepareathon [44] tech,innovation [43] disaster,preparedness [42] disaster,response [40] preparedness,#disastertech [39] unleashing,tech [37] #disastertech,hackathon [35] response,recovery Top Word Pairs in Tweet in G3:
[152] learn,more [107] disaster,tech [70] visit,#disastertech [57] #disastertech,#emgtwitter [55] head,over [53] more,visit [46] dice,platform [40] epic,ready [23] data,science [20] schedule,demo 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 [28] #disastertech,#commisaid [25] #refugeecrisis,#disastertech [21] #commisaid,#disastertech [20] #nepalearthquake,#disastertech [19] peoplefinder,live [19] live,#nepalearthquake [18] cambiumnetworks,equipment [17] installing,cambiumnetworks Top Word Pairs in Tweet in G6:
[80] disastertech,hackathon [63] hurricane,katrina [61] hackathon,honor [61] honor,hurricane [46] emergency,mgmt [46] mgmt,disastertech [14] first,disastertech [10] canada,first [10] host,canada [10] #disastertech,#hackathon Top Word Pairs in Tweet in G7:
[8] read,more [7] cto,anna [7] crisis,response [6] forum,live [6] #techindisasters,forum [6] techsoup,#nonprofits [5] discuss,tech [5] resilience,calamity [5] place,discuss [5] 2pm,pt Top Word Pairs in Tweet in G8:
[27] tech,awards [22] safe,steps [21] steps,tech [17] #disastertech,#dtech [14] gt,gt [13] save,lives [13] #safesteps,#disastertech [10] tech,solutions [10] win,grants [9] prudence,foundation Top Word Pairs in Tweet in G9:
[7] hope,future [7] forbes,amplifying [7] thanks,forbes [7] learning,#hurricaneflorence [7] #hurricaneflorence,hope [7] future,thanks [6] needslist4good,learning [4] dynamic,updated [4] response,used [4] updated,list Top Word Pairs in Tweet in G10:
[12] apps,help [12] help,rescue [12] first,call [12] always,first [12] rescue,reach [12] 911,always [12] 911,apps [12] call,need [12] need,help [12] reach,911 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 G7:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G4:
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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:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: