The graph represents a network of 2,403 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 3/6/2023 5:00:36 PM. The network was obtained from Twitter on Tuesday, 07 March 2023 at 17:42 UTC.
The tweets in the network were tweeted over the 3196-day, 6-hour, 14-minute period from Thursday, 05 June 2014 at 16:35 UTC to Monday, 06 March 2023 at 22:50 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 : 2403
Unique Edges : 2702
Edges With Duplicates : 10068
Total Edges : 12770
Number of Edge Types : 9
Mentions : 3387
Tweet : 960
Retweet : 2045
MentionsInRetweet : 4011
MentionsInReplyTo : 1492
Replies to : 435
Quote : 287
MentionsInQuote : 151
MentionsInQuoteReply : 2
Self-Loops : 1902
Reciprocated Vertex Pair Ratio : 0.0892988929889299
Reciprocated Edge Ratio : 0.163956639566396
Connected Components : 203
Single-Vertex Connected Components : 128
Maximum Vertices in a Connected Component : 2013
Maximum Edges in a Connected Component : 12067
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.156458
Graph Density : 0.000767150969697537
Modularity : 0.262304
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 2,403 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 3/6/2023 5:00:36 PM. The network was obtained from Twitter on Tuesday, 07 March 2023 at 17:42 UTC.
The tweets in the network were tweeted over the 3196-day, 6-hour, 14-minute period from Thursday, 05 June 2014 at 16:35 UTC to Monday, 06 March 2023 at 22:50 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:
[324] learn,more [270] #salesforce,#csr [238] #legaltech,#csuite [207] #hrtech,#legaltech [164] #corpgov,#hrtech [164] #csr,#corpgov [157] #nptech,#nonprofits [137] techsoup,list [129] #csuite,#hr [127] #hranalytics,#nptech Top Word Pairs in Tweet in G1:
[225] learn,more [111] #nptech,#nonprofits [86] 10am,pt [60] save,seat [55] read,more [50] 17,000 [49] nonprofits,save [49] save,focus [49] mission,#techedup [49] 000,techsoup Top Word Pairs in Tweet in G2:
[270] #salesforce,#csr [238] #legaltech,#csuite [207] #hrtech,#legaltech [164] #csr,#corpgov [164] #corpgov,#hrtech [137] 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] power,platform [20] platform,training [20] training,nonprofits [12] tis,日本npoセンター [11] gt,デジタル [11] デジタル,lt [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 Top Word Pairs in Tweet in G4:
[48] plenty2eat,craignewmark [29] craignewmark,lifeunsorted [29] foodbankmetrodc,feedingamerica [28] ichildnutrition,techsoup [26] techsoup,nonprofitorgs [24] ichildnutrition,breadforthecity [23] breadforthecity,techsoup [23] dchunger,dcv4a [21] craignewmark,axjusticemoore [21] nonprofitorgs,mps_truefood Top Word Pairs in Tweet in G5:
[22] learn,more [10] #nonprofits,2023 [10] steps,successful [10] top,#technology [9] #technology,trends [9] many,emails [9] virtual,event [9] emails,send [9] successful,online [9] take,course 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:
[10] tech,good [8] best,support [8] looking,build [8] expertise,best [7] next,week [6] re,launch [6] tech4goodsw,join [6] social,good [6] skills,social [6] use,skills Top Word Pairs in Tweet in G8:
[17] stockman,daily [17] reed,stockman [17] daily,thanks [17] latest,reed [7] #philanthropy,#nonprofit [7] thanks,techsoup [6] nonprofit,links [6] clairity,click [6] links,free [6] click,nonprofit Top Word Pairs in Tweet in G9:
[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 Word Pairs in Tweet in G10:
[14] west,africa [11] node,nigeria [10] civil,society [10] wacsi,node [9] institute,wacsi [9] society,institute [9] africa,civil [7] happening,team [7] launch,naf [7] team,agif 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: