The graph represents a network of 1,896 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, 25 December 2021 at 19:29 UTC.
The requested start date was Saturday, 25 December 2021 at 01:01 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, 13-hour, 25-minute period from Saturday, 11 December 2021 at 01:07 UTC to Friday, 24 December 2021 at 14:32 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 : 1896
Unique Edges : 4526
Edges With Duplicates : 16481
Total Edges : 21007
Number of Edge Types : 5
Retweet : 4315
MentionsInRetweet : 12122
Mentions : 4082
Tweet : 289
Replies to : 199
Self-Loops : 423
Reciprocated Vertex Pair Ratio : 0.0347922131713378
Reciprocated Edge Ratio : 0.0672448298865911
Connected Components : 140
Single-Vertex Connected Components : 50
Maximum Vertices in a Connected Component : 1466
Maximum Edges in a Connected Component : 20234
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.389468
Graph Density : 0.00208604700355143
Modularity : 0.218795
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,896 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, 25 December 2021 at 19:29 UTC.
The requested start date was Saturday, 25 December 2021 at 01:01 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, 13-hour, 25-minute period from Saturday, 11 December 2021 at 01:07 UTC to Friday, 24 December 2021 at 14:32 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:
[608] #ransomware,#tech4good [607] #cybersecurity,#ransomware [491] #tech4good,#womenintech [454] #digital,#tech [360] #womenintech,#innovation [308] pnu_edu_sa,#cybersecurity [257] keep,#password [257] #password,#safe [252] #tech,#tech4good [247] #globalgoals,#sustainability Top Word Pairs in Tweet in G1:
[56] gave,kred [56] kred,#influence [54] saves,patients [54] patients,strokes [52] #innovation,#tech4good [52] #cybersecurity,#ransomware [52] #ransomware,#tech4good [49] thinnest,#robot [49] #robot,world [49] world,saves Top Word Pairs in Tweet in G2:
[412] #cybersecurity,#ransomware [412] #ransomware,#tech4good [329] #tech4good,#womenintech [270] #digital,#tech [229] #womenintech,#innovation [189] pnu_edu_sa,#cybersecurity [165] keep,#password [165] #password,#safe [146] end,end [144] #innovation,#digital Top Word Pairs in Tweet in G3:
[164] #digital,#tech [139] #ransomware,#tech4good [138] #cybersecurity,#ransomware [128] #tech4good,#womenintech [110] #womenintech,#innovation [98] #tech,#tech4good [98] pnu_edu_sa,#cybersecurity [89] #innovation,#digi [81] end,end [74] keep,#password Top Word Pairs in Tweet in G4:
[44] #ces,#tech4good [29] #tech4good,#ces2022 [28] #neuroscience,#ces [25] #miracle,#machines [24] #machines,humans [24] humans,similar [24] similar,#vision [22] #ai,#computervision [22] #computervision,#tech4good [21] #neuroscience,#tech4good Top Word Pairs in Tweet in G5:
[6] housingfirstuk,googleexpertuk [5] thepeopleshubuk,housingfirstuk [5] googleexpertuk,womenwholead2 [4] googleexpertuk,ecrnkath [4] ecrnkath,womenwholead2 [4] womenwholead2,davidahsleath [4] davidahsleath,mcrshield [4] mcrshield,mancrcstudents [4] mancrcstudents,streetsupportuk [4] streetsupportuk,gmcitizens Top Word Pairs in Tweet in G6:
[233] #globalgoals,#sustainability [232] #partnerships,#peopleplanetprosperity [231] #peopleplanetprosperity,#purpose [230] #sustainability,#partnerships [179] #news,#communication [174] #solidarity,#globalgoals [169] #sdg,#solidarity [140] #socialmedia,#tech4good [138] cc,connectaid_int [136] #esgcollective,#socialmedia Top Word Pairs in Tweet in G7:
[17] brought,msftnonprofits [7] office,365 [6] read,more [6] msftnonprofits,learn [6] #tech4good,#socialimpact [5] learn,#nonprofit [4] msftnonprofits,see [4] #tech4good,office365 [4] download,ebook [4] work,together Top Word Pairs in Tweet in G8:
[4] tech4good,challenge [3] technology,help [3] working,phenomenal [3] phenomenal,tech4good [3] tech4good,company [3] c#,software [2] 1ere,édition [2] édition,tech4good [2] example,#tech4good [2] #tech4good,#ai Top Word Pairs in Tweet in G9:
[6] good,read [6] read,corporate [6] corporate,impact [6] impact,capital [6] capital,help [6] help,industry [6] industry,marry [6] marry,purpose [6] purpose,profit [6] profit,#vc Top Word Pairs in Tweet in G10:
[24] pro,bono [24] bono,opportunities [24] opportunities,week [24] week,we've [24] we've,speaking [24] speaking,dr [24] dr,betsir [24] betsir,zemen [24] zemen,operational [24] operational,strategy Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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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:
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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:
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Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G10: