The graph represents a network of 2,168 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, 23 April 2022 at 18:51 UTC.
The requested start date was Saturday, 23 April 2022 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, 5-minute period from Saturday, 09 April 2022 at 00:24 UTC to Friday, 22 April 2022 at 23:29 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 : 2168
Unique Edges : 3247
Edges With Duplicates : 14407
Total Edges : 17654
Number of Edge Types : 5
Retweet : 5290
MentionsInRetweet : 7166
Mentions : 4947
Tweet : 201
Replies to : 50
Self-Loops : 1613
Reciprocated Vertex Pair Ratio : 0.0453936027580923
Reciprocated Edge Ratio : 0.086844998167827
Connected Components : 137
Single-Vertex Connected Components : 48
Maximum Vertices in a Connected Component : 1726
Maximum Edges in a Connected Component : 16916
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 3.849715
Graph Density : 0.00116175711826338
Modularity : 0.224156
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,168 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, 23 April 2022 at 18:51 UTC.
The requested start date was Saturday, 23 April 2022 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, 5-minute period from Saturday, 09 April 2022 at 00:24 UTC to Friday, 22 April 2022 at 23:29 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:
[4200] #cx,#women [4199] #women,#ehealth [4107] #healthtech,#datascientist [4106] #ehealth,#ces2023 [3433] #ces2023,#finserv [3060] #datascientist,#iot [3040] #ai,#digitalhealth [3034] #iot,#ai [2919] #cloud,#cx [2916] #digitalhealth,#cloud Top Word Pairs in Tweet in G1:
[94] #tech4good,#innovation [66] #drone,uses [66] uses,hidden [66] hidden,propellers [66] propellers,fly [66] fly,around [66] around,people [66] people,gigadgets_ [66] gigadgets_,#mi [66] #mi,#robotics Top Word Pairs in Tweet in G2:
[3536] #cx,#women [3535] #women,#ehealth [3450] #ehealth,#ces2023 [3448] #healthtech,#datascientist [2920] #ces2023,#finserv [2581] #datascientist,#iot [2565] #ai,#digitalhealth [2545] #iot,#ai [2409] #cloud,#cx [2407] #digitalhealth,#cloud Top Word Pairs in Tweet in G3:
[490] #cx,#women [490] #women,#ehealth [488] #healthtech,#datascientist [486] #ehealth,#ces2023 [479] chidambara09,#healthtech [385] #ces2023,#finserv [384] #cloud,#cx [383] #digitalhealth,#cloud [342] #iot,#ai [336] #datascientist,#iot Top Word Pairs in Tweet in G4:
[109] #cx,#women [109] #women,#ehealth [107] #ehealth,#ces2023 [106] chidambara09,#healthtech [106] #healthtech,#datascientist [86] #datascientist,#iot [83] #iot,#ai [82] #ai,#digitalhealth [82] #ces2023,#finserv [81] #digitalhealth,#cloud Top Word Pairs in Tweet in G5:
[18] #trustintech,huaweiuk [18] huaweiuk,#tech4good [16] huawei,#trustintech [15] #axschat,#billionstrong [15] #billionstrong,#ruhglobal [12] #tech4good,ianmcalvert [12] a6,need [10] debraruh,a6 [9] akwyz,wearablesexpert [9] debraruh,a3 Top Word Pairs in Tweet in G6:
[36] ready,scale [33] use,#tech4good [33] #digitalx,seeking [33] seeking,ready [24] #digitalx,programme [24] programme,back [24] back,support [24] support,mofajapan_en [24] mofajapan_en,initiative [24] initiative,helps Top Word Pairs in Tweet in G7:
[2] bulliescampaign,thepeopleshubuk [2] thepeopleshubuk,delusionalacad1 [2] delusionalacad1,psychmh [2] psychmh,tracyboylin [2] tracyboylin,petejacksongmp [2] petejacksongmp,rossthomson26 [2] rossthomson26,suzanne_garrett [2] fit4duty_ethics,do_kinder [2] do_kinder,jeremyfarrar [2] jeremyfarrar,michelle_cruk Top Word Pairs in Tweet in G8:
[10] join,tech4goodsw [8] last,year [8] tech4goodsw,themeetinggnd [7] safest,place [7] live,work [7] 41,charities [7] charities,experienced [7] experienced,one [7] one,cyber [7] cyber,attack Top Word Pairs in Tweet in G9:
[4] tech4good,2022 [3] co,founder [3] #tech4good,#tech4all [3] go,tech4good [3] #vesit,iqac [3] iqac,#vesit [3] #vesit,iic [3] read,article [2] #techforgood,#tech4good [2] #tech4good,#socialimpact Top Word Pairs in Tweet in G10:
[11] irish,citizen [11] citizen,paulinekwasniak [11] paulinekwasniak,doing [11] doing,phenomenal [11] phenomenal,work [11] work,created [11] created,powerful [11] powerful,#tech4good [11] #tech4good,platform [11] platform,enable Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: