The graph represents a network of 2,383 Twitter users whose recent tweets contained "techsoup", 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 2/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 February 2023 at 17:57 UTC.
The tweets in the network were tweeted over the 3175-day, 8-hour, 8-minute period from Thursday, 05 June 2014 at 16:35 UTC to Tuesday, 14 February 2023 at 00:44 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 : 2383
Unique Edges : 2676
Edges With Duplicates : 10127
Total Edges : 12803
Number of Edge Types : 9
Tweet : 982
Replies to : 442
MentionsInReplyTo : 1519
Retweet : 2059
MentionsInRetweet : 4000
Mentions : 3362
Quote : 297
MentionsInQuote : 140
MentionsInQuoteReply : 2
Self-Loops : 1942
Reciprocated Vertex Pair Ratio : 0.0841792522901708
Reciprocated Edge Ratio : 0.155286595113039
Connected Components : 200
Single-Vertex Connected Components : 127
Maximum Vertices in a Connected Component : 2006
Maximum Edges in a Connected Component : 12113
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.202864
Graph Density : 0.000771452419936487
Modularity : 0.262668
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 2,383 Twitter users whose recent tweets contained "techsoup", 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 2/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 February 2023 at 17:57 UTC.
The tweets in the network were tweeted over the 3175-day, 8-hour, 8-minute period from Thursday, 05 June 2014 at 16:35 UTC to Tuesday, 14 February 2023 at 00:44 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 : techsoup
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:
[309] learn,more [286] #salesforce,#csr [254] #legaltech,#csuite [223] #hrtech,#legaltech [194] #corpgov,#hrtech [181] #csr,#corpgov [169] #nptech,#nonprofits [143] #hranalytics,#nptech [135] #csuite,#hr [124] next,week Top Word Pairs in Tweet in G1:
[216] learn,more [108] #nptech,#nonprofits [88] 10am,pt [67] save,seat [59] read,more [46] 17,000 [46] more,#nptech [45] nonprofits,save [45] save,focus [45] mission,#techedup Top Word Pairs in Tweet in G2:
[286] #salesforce,#csr [254] #legaltech,#csuite [223] #hrtech,#legaltech [194] #corpgov,#hrtech [181] #csr,#corpgov [143] #hranalytics,#nptech [135] #csuite,#hr [115] techsoup,list [115] #csr,#cx [111] #adp,#techsoup Top Word Pairs in Tweet in G3:
[22] microsoft,power [22] platform,training [22] power,platform [22] lt,gt [22] training,nonprofits [12] tis,日本npoセンター [11] gt,デジタル [11] techsoup協働事業,助成プログラム [11] 日本npoセンター,techsoup協働事業 [11] デジタル,lt Top Word Pairs in Tweet in G4:
[50] plenty2eat,craignewmark [30] craignewmark,lifeunsorted [29] foodbankmetrodc,feedingamerica [28] ichildnutrition,techsoup [28] techsoup,nonprofitorgs [27] ichildnutrition,breadforthecity [25] breadforthecity,techsoup [23] nonprofitorgs,mps_truefood [23] dchunger,dcv4a [22] mps_truefood,impact_tank Top Word Pairs in Tweet in G5:
[19] latest,reed [19] stockman,daily [19] daily,thanks [19] reed,stockman [10] thanks,techsoup [7] techsoup,#nonprofit [7] #philanthropy,#nonprofit [6] free,resources [6] nonprofit,links [6] techsoup,great Top Word Pairs in Tweet in G6:
[15] west,africa [12] node,nigeria [12] civil,society [11] wacsi,node [10] institute,wacsi [10] society,institute [10] africa,civil [8] nigeria,launch [8] attendance,west [8] launch,naf Top Word Pairs in Tweet in G7:
[19] students,his_moldova [15] meetandcode,event [14] adrianabujag,annacires [11] heritageprimary,today [10] today,students [9] light,clapping [9] today's,meetandcode [9] event,turned [9] event,meetandcode [9] turned,light Top Word Pairs in Tweet in G8:
[10] tech,good [8] expertise,best [8] looking,build [8] best,support [7] next,week [6] lego,serious [6] re,launch [6] community,organisations [6] skills,social [6] use,skills Top Word Pairs in Tweet in G9:
[36] non,profit [14] 501,organizations [14] profit,501 [13] profit,status [13] organizations,non [13] lower,cost [13] consider,providing [13] providing,lower [12] meta,boost [12] easily,verified Top Word Pairs in Tweet in G10:
[8] microsoftteams,rsvp [8] hosting,tomorrow's [8] tomorrow's,#space [8] #vibe,microsoftteams [8] #space,hybrid [8] environment,#vibe [8] hybrid,environment [6] techsoup,chapter [6] drmalcolmadams,hosting [3] join,techsoup Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
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:
Top Mentioned in G8:
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: