The graph represents a network of 2,330 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 1/9/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 10 January 2023 at 17:41 UTC.
The tweets in the network were tweeted over the 3140-day, 7-hour, 21-minute period from Thursday, 05 June 2014 at 16:35 UTC to Monday, 09 January 2023 at 23:56 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 : 2330
Unique Edges : 2663
Edges With Duplicates : 9917
Total Edges : 12580
Number of Edge Types : 9
Mentions : 3221
Replies to : 407
MentionsInReplyTo : 1289
Tweet : 981
MentionsInRetweet : 4099
Quote : 320
MentionsInQuote : 152
Retweet : 2100
MentionsInQuoteReply : 11
Self-Loops : 1960
Reciprocated Vertex Pair Ratio : 0.0835866261398176
Reciprocated Edge Ratio : 0.154277699859748
Connected Components : 195
Single-Vertex Connected Components : 124
Maximum Vertices in a Connected Component : 1967
Maximum Edges in a Connected Component : 11906
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.219427
Graph Density : 0.000788343281299237
Modularity : 0.264948
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 2,330 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 1/9/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 10 January 2023 at 17:41 UTC.
The tweets in the network were tweeted over the 3140-day, 7-hour, 21-minute period from Thursday, 05 June 2014 at 16:35 UTC to Monday, 09 January 2023 at 23:56 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:
[304] #corpgov,#hrtech [296] learn,more [278] #legaltech,#csuite [258] #csr,#corpgov [244] #hrtech,#legaltech [244] #salesforce,#csr [167] #nptech,#nonprofits [163] #hranalytics,#nptech [158] #csr,#cx [146] #nonprofits,#nonprofit Top Word Pairs in Tweet in G1:
[211] learn,more [93] 10am,pt [87] #nptech,#nonprofits [66] read,more [62] save,seat [48] nonprofits,save [48] 17,000 [48] save,focus [48] mission,#techedup [48] 000,techsoup Top Word Pairs in Tweet in G2:
[303] #corpgov,#hrtech [274] #legaltech,#csuite [258] #csr,#corpgov [240] #hrtech,#legaltech [240] #salesforce,#csr [163] #hranalytics,#nptech [154] #csr,#cx [144] #nonprofits,#nonprofit [143] #csuite,#hr [138] #adp,#techsoup Top Word Pairs in Tweet in G3:
[24] microsoft,power [24] power,platform [24] platform,training [24] training,nonprofits [22] lt,gt [13] learn,more [12] tis,日本npoセンター [12] using,technology [11] gt,デジタル [11] デジタル,lt Top Word Pairs in Tweet in G4:
[55] plenty2eat,craignewmark [32] ichildnutrition,breadforthecity [28] ichildnutrition,techsoup [28] techsoup,nonprofitorgs [26] craignewmark,lifeunsorted [26] foodbankmetrodc,feedingamerica [25] breadforthecity,techsoup [23] nonprofitorgs,mps_truefood [22] dchunger,dcv4a [22] mps_truefood,impact_tank Top Word Pairs in Tweet in G5:
[18] reed,stockman [18] daily,thanks [18] stockman,daily [18] latest,reed [8] thanks,techsoup [7] #philanthropy,#nonprofit [6] links,free [6] click,nonprofit [6] free,resources [6] nonprofit,links Top Word Pairs in Tweet in G6:
[19] students,his_moldova [15] meetandcode,event [14] adrianabujag,annacires [11] heritageprimary,today [10] today,students [9] #robots,help [9] meetandcode,#robots [9] his_moldova,participated [9] event,meetandcode [9] event,turned Top Word Pairs in Tweet in G7:
[9] microsoftteams,rsvp [9] hybrid,environment [9] #space,hybrid [9] #vibe,microsoftteams [9] tomorrow's,#space [9] environment,#vibe [9] hosting,tomorrow's [7] drmalcolmadams,hosting [6] visit,web [6] web,courtesy Top Word Pairs in Tweet in G8:
[10] tech,good [8] pub,quiz [8] best,support [8] expertise,best [7] thisismodular,tuesday [7] digital,pub [7] next,week [7] demystifying,digital [7] 14th,june [7] tuesday,14th Top Word Pairs in Tweet in G9:
[12] #futureofwork,online [12] online,conference [10] october,25 [10] techsoup's,#futureofwork [10] 25,26 [9] behalf,nexford [9] rsvp,techsoup's [8] conference,october [7] microsoft,power [7] training,nonprofits Top Word Pairs in Tweet in G10:
[12] node,nigeria [12] west,africa [11] wacsi,node [10] institute,wacsi [10] society,institute [10] civil,society [10] africa,civil [8] happening,team [8] agif,attendance [8] attendance,west 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: