The graph represents a network of 1,810 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, 28 May 2022 at 18:44 UTC.
The requested start date was Saturday, 28 May 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, 11-hour, 58-minute period from Saturday, 14 May 2022 at 09:02 UTC to Friday, 27 May 2022 at 21:00 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 : 1810
Unique Edges : 2320
Edges With Duplicates : 12125
Total Edges : 14445
Number of Edge Types : 5
Retweet : 4642
MentionsInRetweet : 5319
Mentions : 4298
Replies to : 30
Tweet : 156
Self-Loops : 1525
Reciprocated Vertex Pair Ratio : 0.0351690294438386
Reciprocated Edge Ratio : 0.067948380300237
Connected Components : 124
Single-Vertex Connected Components : 41
Maximum Vertices in a Connected Component : 1355
Maximum Edges in a Connected Component : 13533
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.148203
Graph Density : 0.00115964071600255
Modularity : 0.20914
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,810 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, 28 May 2022 at 18:44 UTC.
The requested start date was Saturday, 28 May 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, 11-hour, 58-minute period from Saturday, 14 May 2022 at 09:02 UTC to Friday, 27 May 2022 at 21:00 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:
[4155] #cx,#women [4146] #women,#ehealth [4133] #ehealth,#ces2023 [3672] #datascientist,#mwc22 [3594] #mwc22,#ai [2114] #healthtech,#datascientist [2028] #digitalhealth,#datascientist [2022] #ai,#healthtech [1971] #ai,#digitalhealth [1845] #iiot,#cx Top Word Pairs in Tweet in G1:
[398] #cx,#women [398] #women,#ehealth [398] #ehealth,#ces2023 [351] #datascientist,#mwc22 [345] #mwc22,#ai [254] #ces2023,#fin [216] #healthtech,#datascientist [215] chidambara09,#healthtech [205] #ai,#digitalhealth [181] #digitalhealth,#datascientist Top Word Pairs in Tweet in G2:
[16] homes,homes [13] theremarkablz,themissnicolina [13] themissnicolina,mrsedithrigby [11] googleexpertuk,thepeopleshubuk [10] thepeopleshubuk,lovefoodlifego [10] lovefoodlifego,theremarkablz [10] mrsedithrigby,womenwholead2 [10] womenwholead2,raffaele_1024kb [9] raffaele_1024kb,thetec [8] #homeless,16 Top Word Pairs in Tweet in G3:
[3551] #cx,#women [3543] #women,#ehealth [3532] #ehealth,#ces2023 [3147] #datascientist,#mwc22 [3076] #mwc22,#ai [1794] #healthtech,#datascientist [1745] #digitalhealth,#datascientist [1740] #ai,#healthtech [1665] #ai,#digitalhealth [1605] #iiot,#cx Top Word Pairs in Tweet in G4:
[299] gave,kred [299] kred,#influence [219] eli_krumova,gave [183] #cx,#women [183] #women,#ehealth [181] #ehealth,#ces2023 [158] #influence,#stem [152] #datascientist,#mwc22 [151] #mwc22,#ai [150] #ai,#ml Top Word Pairs in Tweet in G5:
[61] #ai,#artificialintelligence [60] gigadgets_,#ai [47] #drone,navigate [47] navigate,itself [47] itself,during [47] during,water [47] water,rescue [47] rescue,gigadgets_ [31] #artificialintelligence,#tech4good [31] #tech4good,#innovation Top Word Pairs in Tweet in G6:
[9] #cx,#women [8] #robotics,#tech4good [8] #ai,#innovation [8] #datascientist,#mwc22 [8] #mwc22,#ai [8] #women,#ehealth [8] #ehealth,#ces2023 [7] #iot,#ai [7] #innovation,#tech4good [7] #digitalhealth,#datascientist Top Word Pairs in Tweet in G7:
[5] public,good [4] read,more [4] techsoup,global [4] global,network [4] network,continues [4] continues,promote [4] promote,resources [4] resources,help [4] help,nonprofits [4] nonprofits,working Top Word Pairs in Tweet in G8:
[62] tech4good,project [46] project,winning [46] winning,team [35] winners,huawei [35] huawei,sub [35] sub,saharan [35] saharan,ict [35] ict,competition [35] competition,tech4good [19] team,awarded Top Word Pairs in Tweet in G9:
[9] undp,launched [9] launched,#digitalx [9] #digitalx,initiative [9] #tech4good,projects [9] projects,global [9] tienes,solución [9] solución,digital [9] digital,#cambioclimático [9] #cambioclimático,#igualdaddegénero [9] #igualdaddegénero,salud Top Word Pairs in Tweet in G10:
[18] #genevaday2022,wef [17] pleased,open [17] open,#genevaday2022 [17] wef,state [17] state,councilor [17] councilor,natfontanet [17] natfontanet,focus [17] focus,today [17] today,potential [16] ignaziocassis,pleased 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 G7:
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: