The graph represents a network of 2,410 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 3/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 March 2023 at 16:43 UTC.
The tweets in the network were tweeted over the 3203-day, 6-hour, 29-minute period from Thursday, 05 June 2014 at 16:35 UTC to Monday, 13 March 2023 at 23:05 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 : 2410
Unique Edges : 2707
Edges With Duplicates : 10044
Total Edges : 12751
Number of Edge Types : 9
Mentions : 3393
Tweet : 960
Quote : 287
MentionsInQuote : 151
Replies to : 440
MentionsInReplyTo : 1497
MentionsInRetweet : 3988
Retweet : 2033
MentionsInQuoteReply : 2
Self-Loops : 1903
Reciprocated Vertex Pair Ratio : 0.0889653477512902
Reciprocated Edge Ratio : 0.16339426765967
Connected Components : 206
Single-Vertex Connected Components : 129
Maximum Vertices in a Connected Component : 2014
Maximum Edges in a Connected Component : 12040
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.160768
Graph Density : 0.000763216775267023
Modularity : 0.2641
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 2,410 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 3/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 March 2023 at 16:43 UTC.
The tweets in the network were tweeted over the 3203-day, 6-hour, 29-minute period from Thursday, 05 June 2014 at 16:35 UTC to Monday, 13 March 2023 at 23:05 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 : 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:
[323] learn,more [270] #salesforce,#csr [238] #legaltech,#csuite [207] #hrtech,#legaltech [164] #csr,#corpgov [162] #corpgov,#hrtech [158] #nptech,#nonprofits [147] techsoup,list [129] #csuite,#hr [127] next,week Top Word Pairs in Tweet in G1:
[227] learn,more [112] #nptech,#nonprofits [93] 10am,pt [64] save,seat [59] read,more [49] 17,000 [49] more,#nptech [48] nonprofits,save [48] save,focus [48] mission,#techedup Top Word Pairs in Tweet in G2:
[270] #salesforce,#csr [238] #legaltech,#csuite [207] #hrtech,#legaltech [164] #csr,#corpgov [162] #corpgov,#hrtech [147] techsoup,list [129] #csuite,#hr [127] #hranalytics,#nptech [108] #corpgov,#csr [105] #adp,#techsoup Top Word Pairs in Tweet in G3:
[22] lt,gt [20] microsoft,power [20] platform,training [20] power,platform [20] 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:
[48] plenty2eat,craignewmark [30] craignewmark,lifeunsorted [30] foodbankmetrodc,feedingamerica [27] ichildnutrition,techsoup [26] techsoup,nonprofitorgs [24] ichildnutrition,breadforthecity [23] breadforthecity,techsoup [23] dchunger,dcv4a [22] craignewmark,axjusticemoore [21] dcck,dc_greens Top Word Pairs in Tweet in G5:
[26] civil,society [15] west,africa [13] node,nigeria [12] pandemic,increased [12] following,pandemic [12] techsoup,following [12] close,#digitaldivide [12] take,#i____internet [12] #digitaldivide,take [12] increased,resources Top Word Pairs in Tweet in G6:
[30] non,profit [14] 501,organizations [14] profit,501 [13] lower,cost [13] consider,providing [13] profit,status [13] organizations,non [13] providing,lower [12] easily,verified [12] verified,checkmark Top Word Pairs in Tweet in G7:
[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 G8:
[10] #nonprofits,2023 [10] steps,successful [10] take,course [10] top,#technology [9] #technology,trends [9] emails,send [9] many,emails [9] online,raffles [9] successful,online [9] virtual,event Top Word Pairs in Tweet in G9:
[17] reed,stockman [17] latest,reed [17] daily,thanks [17] stockman,daily [8] #nonprofit,#fundraising [8] thanks,techsoup [7] #philanthropy,#nonprofit [7] techsoup,#nonprofit [6] clairity,click [6] links,free Top Word Pairs in Tweet in G10:
[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] culture,change 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: