The graph represents a network of 2,349 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 2/6/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 07 February 2023 at 17:56 UTC.
The tweets in the network were tweeted over the 3168-day, 5-hour, 42-minute period from Thursday, 05 June 2014 at 16:35 UTC to Monday, 06 February 2023 at 22:18 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 : 2349
Unique Edges : 2634
Edges With Duplicates : 9991
Total Edges : 12625
Number of Edge Types : 9
Mentions : 3320
Replies to : 433
MentionsInReplyTo : 1291
Tweet : 981
MentionsInRetweet : 4060
Quote : 314
Retweet : 2082
MentionsInQuote : 142
MentionsInQuoteReply : 2
Self-Loops : 1975
Reciprocated Vertex Pair Ratio : 0.0811491935483871
Reciprocated Edge Ratio : 0.15011655011655
Connected Components : 196
Single-Vertex Connected Components : 123
Maximum Vertices in a Connected Component : 1986
Maximum Edges in a Connected Component : 11958
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.212587
Graph Density : 0.000777814764773585
Modularity : 0.260366
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 2,349 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 2/6/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 07 February 2023 at 17:56 UTC.
The tweets in the network were tweeted over the 3168-day, 5-hour, 42-minute period from Thursday, 05 June 2014 at 16:35 UTC to Monday, 06 February 2023 at 22:18 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:
[299] learn,more [286] #salesforce,#csr [258] #legaltech,#csuite [245] #corpgov,#hrtech [224] #hrtech,#legaltech [184] #csr,#corpgov [164] #nptech,#nonprofits [160] #csr,#cx [143] #hranalytics,#nptech [135] #csuite,#hr Top Word Pairs in Tweet in G1:
[207] learn,more [101] #nptech,#nonprofits [88] 10am,pt [66] save,seat [55] read,more [45] more,#nptech [44] nonprofits,save [44] 17,000 [44] save,focus [44] mission,#techedup Top Word Pairs in Tweet in G2:
[286] #salesforce,#csr [258] #legaltech,#csuite [245] #corpgov,#hrtech [224] #hrtech,#legaltech [184] #csr,#corpgov [160] #csr,#cx [143] #hranalytics,#nptech [135] #csuite,#hr [115] #adp,#techsoup [108] #corpgov,#csr 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:
[53] plenty2eat,craignewmark [30] craignewmark,lifeunsorted [30] ichildnutrition,breadforthecity [28] ichildnutrition,techsoup [28] techsoup,nonprofitorgs [28] foodbankmetrodc,feedingamerica [25] breadforthecity,techsoup [23] nonprofitorgs,mps_truefood [23] dchunger,dcv4a [22] mps_truefood,impact_tank Top Word Pairs in Tweet in G5:
[11] online,conference [11] #futureofwork,online [10] october,25 [10] techsoup's,#futureofwork [10] 25,26 [9] rsvp,techsoup's [9] behalf,nexford [8] conference,october [7] microsoft,power [7] training,nonprofits Top Word Pairs in Tweet in G6:
[14] 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:
[16] food,insecurity [14] hungerfreectr,fractweets [14] fractweets,#endhungernow [13] #endhungernow,toendhunger [12] insecurity,rate [10] #nonprofit,#fundraising [10] foodchoices4all,foodrecovery [10] toendhunger,hungercenter [10] hungercenter,foodchoices4all [9] project,making Top Word Pairs in Tweet in G8:
[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 G9:
[36] non,profit [14] profit,501 [14] 501,organizations [13] profit,status [13] organizations,non [13] lower,cost [13] consider,providing [13] providing,lower [12] verified,checkmark [12] meta,boost Top Word Pairs in Tweet in G10:
[10] tech,good [8] best,support [8] looking,build [8] expertise,best [7] next,week [6] social,good [6] lego,serious [6] good,join [6] small,charities [6] tech4goodsw,join 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: