The graph represents a network of 1,703 Twitter users whose tweets in the requested range contained "tech4good", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 10 October 2020 at 19:19 UTC.
The requested start date was Saturday, 10 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 23-hour, 4-minute period from Saturday, 26 September 2020 at 00:42 UTC to Friday, 09 October 2020 at 23:47 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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 : 1703
Unique Edges : 1857
Edges With Duplicates : 3030
Total Edges : 4887
Number of Edge Types : 5
Mentions : 1165
MentionsInRetweet : 2255
Retweet : 1055
Replies to : 48
Tweet : 364
Self-Loops : 387
Reciprocated Vertex Pair Ratio : 0.0476542297746583
Reciprocated Edge Ratio : 0.0909732016925247
Connected Components : 210
Single-Vertex Connected Components : 61
Maximum Vertices in a Connected Component : 924
Maximum Edges in a Connected Component : 3474
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.914628
Graph Density : 0.000978435097253551
Modularity : 0.530263
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 1,703 Twitter users whose tweets in the requested range contained "tech4good", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 10 October 2020 at 19:19 UTC.
The requested start date was Saturday, 10 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 23-hour, 4-minute period from Saturday, 26 September 2020 at 00:42 UTC to Friday, 09 October 2020 at 23:47 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : tech4good
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:
[106] #tech4all,#tech4good [55] tech,good [40] tildamew,tech4goodawards [40] microsoft,netsquared [40] netsquared,techsoup [38] #tech4good,#tech4all [34] order,help [31] #inclusion,#tech4all [29] antgrasso,mikequindazzi [29] mikequindazzi,fisher85m Top Word Pairs in Tweet in G1:
[40] tildamew,tech4goodawards [40] microsoft,netsquared [40] netsquared,techsoup [33] #tech4all,#tech4good [26] tech4good,nodexl [26] nodexl,tildamew [26] tech4goodawards,chidambara09 [26] chidambara09,microsoft [20] virtual,volunteering [20] #ai,#ki Top Word Pairs in Tweet in G2:
[67] #tech4all,#tech4good [26] #inclusion,#tech4all [22] mixed,bag [22] #welcomeapp,launches [22] launches,#nhs [22] #nhs,today [22] today,letting [22] letting,reception [22] reception,staff [22] staff,know Top Word Pairs in Tweet in G3:
[13] awesome,#timtalk [13] #timtalk,#inteview [13] #inteview,timothy_hughes [13] timothy_hughes,creating [13] creating,technology [13] technology,purpose [13] purpose,sallyeaves [12] drsharwood,awesome [11] head,still [11] still,spinning Top Word Pairs in Tweet in G4:
[18] vendredi,dernier [18] dernier,notre [18] notre,oracle_france [18] oracle_france,connect [18] connect,dédié [18] dédié,semaine [18] semaine,développement [18] développement,durable [18] durable,avons [18] avons,eu Top Word Pairs in Tweet in G5:
[8] #tech4good,#austintech [8] #austintech,#computerliteracy [8] #computerliteracy,#digitaldivide [7] #digitaldivide,#technologyadvances [6] #accesstointernet,#volunteer [6] #volunteer,#volunteerwork [6] #volunteerwork,#volunteeraustin [6] #volunteeraustin,#atxvolunteers [5] #tech4all,#tech4good [5] #lawenforcementtraining,#deescalation Top Word Pairs in Tweet in G6:
[19] #impacttech,#tech4good [12] ladiescyber,women4cyber [12] women4cyber,womencssociety [12] womencssociety,womenincyberuk [12] womenincyberuk,womencyberwales [12] womencyberwales,wosectweets [12] wosectweets,ukcybersecassoc [12] ukcybersecassoc,ncsc [9] miss_faru,elyssa01 [9] elyssa01,vasili16 Top Word Pairs in Tweet in G7:
[10] applications,anti [10] anti,gaspi [10] gaspi,2020 [10] 2020,ce [10] ce,serait [10] serait,gacher [10] gacher,partager [10] partager,co [10] co,nsgqfnusif [9] thierry_pires,applications Top Word Pairs in Tweet in G8:
[15] week,talk [11] 4ei,richard [11] richard,flemmings [11] flemmings,steve [11] steve,keohane [11] keohane,presenting [11] presenting,#finance [11] #finance,#climatechange [11] #climatechange,view [11] view,#space Top Word Pairs in Tweet in G9:
[28] brought,msftnonprofits [26] msftnonprofits,learn [14] #tech4good,#socialimpact [12] #tech4good,#digitaltransformation [10] download,ebook [9] #socialimpact,#digitaltransformation [9] collaboration,communication [9] communication,tools [9] tools,bring [9] team,closer Top Word Pairs in Tweet in G10:
[23] numérique,responsable [14] soirée,adnouest [14] adnouest,#angers [14] #angers,numérique [14] responsable,l'écosystème [14] l'écosystème,régional [14] régional,réuni [14] réuni,ce [14] ce,sujet [14] sujet,important Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: