The graph represents a network of 1,912 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, 21 May 2022 at 18:39 UTC.
The requested start date was Saturday, 21 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, 18-hour, 10-minute period from Saturday, 07 May 2022 at 01:48 UTC to Friday, 20 May 2022 at 19:58 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 : 1912
Unique Edges : 2570
Edges With Duplicates : 10132
Total Edges : 12702
Number of Edge Types : 5
Retweet : 3790
MentionsInRetweet : 5547
Mentions : 3177
Tweet : 156
Replies to : 32
Self-Loops : 989
Reciprocated Vertex Pair Ratio : 0.0332518337408313
Reciprocated Edge Ratio : 0.0643634642688121
Connected Components : 131
Single-Vertex Connected Components : 43
Maximum Vertices in a Connected Component : 1353
Maximum Edges in a Connected Component : 11705
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.620842
Graph Density : 0.00115659395396395
Modularity : 0.247929
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,912 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, 21 May 2022 at 18:39 UTC.
The requested start date was Saturday, 21 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, 18-hour, 10-minute period from Saturday, 07 May 2022 at 01:48 UTC to Friday, 20 May 2022 at 19:58 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:
[2264] #cx,#women [2221] #healthtech,#datascientist [2217] #women,#ehealth [2185] #ehealth,#ces2023 [2017] #ai,#digitalhealth [1866] #digitalhealth,#startups [1866] #startups,#cx [1448] chidambara09,#healthtech [1241] #datascientist,#mwc22 [1180] #mwc22,#ai Top Word Pairs in Tweet in G1:
[2127] #cx,#women [2088] #women,#ehealth [2087] #healthtech,#datascientist [2060] #ehealth,#ces2023 [1896] #ai,#digitalhealth [1752] #digitalhealth,#startups [1752] #startups,#cx [1328] chidambara09,#healthtech [1186] #datascientist,#mwc22 [1126] #mwc22,#ai Top Word Pairs in Tweet in G2:
[151] #iot,#5g [98] #ai,#artificialintelligence [95] #cx,#women [93] gigadgets_,#ai [92] #healthtech,#datascientist [92] #women,#ehealth [89] #ehealth,#ces2023 [88] #metaverse,#nft [84] #augmentedreality,#mixedreality [84] chidambara09,#healthtech Top Word Pairs in Tweet in G3:
[34] homes,homes [17] #homeless,16 [17] 16,creating [17] creating,socially [17] socially,homes [17] homes,10 [17] 10,years [17] years,making [17] making,decade [17] decade,long Top Word Pairs in Tweet in G4:
[252] gave,kred [252] kred,#influence [185] eli_krumova,gave [132] #ai,#ml [124] #influence,#stem [115] #ml,#iot [108] #iot,#iiot [104] #womeninstem,#womenintech [71] #iiot,#iotpl [68] #womenintech,#womenwhocode Top Word Pairs in Tweet in G5:
[61] tech4good,project [45] project,winning [45] winning,team [35] winners,huawei [35] huawei,sub [35] sub,saharan [35] saharan,ict [35] ict,competition [35] competition,tech4good [18] team,awarded Top Word Pairs in Tweet in G6:
[13] martinschichtel,kraftblocke [13] kraftblocke,currently [13] currently,booth [13] booth,sharing [13] sharing,disrupt [13] disrupt,energy [13] energy,storage [13] storage,3dsgermany [13] #tech4good,#innovation [13] change,methods Top Word Pairs in Tweet in G7:
[31] use,#tech4good [31] #digitalx,seeking [31] seeking,ready [23] #tech4good,accelerate [23] accelerate,global [23] global,transition [23] transition,sustainable [23] sustainable,future [23] future,#digitalx [22] undpzimbabwe,use Top Word Pairs in Tweet in G8:
[31] co,founder [21] meet,panel [18] yourynetworkhq,meet [17] mondays,spotlight [17] spotlight,monday [17] monday,showcasing [17] showcasing,one [17] one,social [17] social,entrepreneur [15] yourynetworkhq,mondays Top Word Pairs in Tweet in G9:
[5] #funding,#civictech [5] #civictech,#tech4good [4] #sustainability,#funding [3] access,before [3] before,upcoming [3] upcoming,v1 [3] v1,release [3] release,#fundraising [2] #techforgood,#tech4good [2] stacks,stacks Top Word Pairs in Tweet in G10:
[11] day,nuigcairnes [11] nuigcairnes,#tech4good [10] summer,school [9] learn,more [8] latest,benzinga [8] support,kampaytoken's [8] kampaytoken's,#codingafrica [8] #codingafrica,initiative [8] initiative,learn [8] #hardware,#recycling Top Replied-To in Entire Graph:
Top Replied-To in G1:
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 Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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: