The graph represents a network of 1,676 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, 11 December 2021 at 19:26 UTC.
The requested start date was Saturday, 11 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, 46-minute period from Saturday, 27 November 2021 at 07:28 UTC to Friday, 10 December 2021 at 21:14 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 : 1676
Unique Edges : 2479
Edges With Duplicates : 4129
Total Edges : 6608
Number of Edge Types : 5
Retweet : 1283
MentionsInRetweet : 3431
Mentions : 1545
Tweet : 297
Replies to : 52
Self-Loops : 330
Reciprocated Vertex Pair Ratio : 0.0409356725146199
Reciprocated Edge Ratio : 0.0786516853932584
Connected Components : 167
Single-Vertex Connected Components : 67
Maximum Vertices in a Connected Component : 1136
Maximum Edges in a Connected Component : 5730
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.259092
Graph Density : 0.00133152851494318
Modularity : 0.451113
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,676 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, 11 December 2021 at 19:26 UTC.
The requested start date was Saturday, 11 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, 46-minute period from Saturday, 27 November 2021 at 07:28 UTC to Friday, 10 December 2021 at 21:14 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:
[113] saves,patients [113] patients,strokes [83] globaliqx,#robot [83] #innovation,#tech4good [79] #medtech,#healthtech [76] alvinfoo,kirkdborne [75] gave,kred [75] kred,#influence [75] thinnest,#robot [75] #robot,world Top Word Pairs in Tweet in G1:
[75] #medtech,#healthtech [73] globaliqx,#robot [49] #tech4good,#medtech [48] #robot,helps [48] helps,people [48] people,physical [48] physical,therapy [48] therapy,intengineering [48] intengineering,#ehealth [48] #ehealth,#tech4good Top Word Pairs in Tweet in G2:
[23] googleexpertuk,womenwholead2 [16] womenwholead2,moodogknits [16] moodogknits,drugfam [16] drugfam,fabfunfood [16] fabfunfood,zophilpott [16] zophilpott,adatheshow [16] adatheshow,cgarside [15] housingfirstire,googleexpertuk [15] googleexpertuk,chrisawatson_ [15] chrisawatson_,womenwholead2 Top Word Pairs in Tweet in G3:
[103] saves,patients [103] patients,strokes [71] #innovation,#tech4good [70] thinnest,#robot [70] #robot,world [70] world,saves [70] strokes,#innovation [70] #tech4good,alvinfoo [70] alvinfoo,kirkdborne [69] pascal_bornet,thinnest Top Word Pairs in Tweet in G4:
[43] #tech4all,#tech4good [30] #inclusion,#pwd [24] #artificialintelligence,affects [24] affects,#workers [24] #workers,#disabilities [24] #disabilities,toolkit [24] toolkit,businesses [24] businesses,department [23] #pwd,#disabilityinclusion [23] huawei,#trustintech Top Word Pairs in Tweet in G5:
[9] #tech4all,#tech4good [4] product,manager [4] people,interested [4] interested,using [3] day,welcoming [3] welcoming,seeds [3] 2021,participants [3] participants,over [3] over,tour [3] tour,around Top Word Pairs in Tweet in G6:
[48] margaretsiegien,pawlowskimario [36] elonmusk,possible [36] possible,test [36] test,neuralink [36] neuralink,humans [36] humans,next [36] next,year [36] year,margaretsiegien [35] pawlowskimario,nicochan33 [35] margaretsiegien,elonmusk Top Word Pairs in Tweet in G7:
[31] amazing,progress [21] updates,#cudoslabs [21] progress,we've [21] we've,made [19] made,far [17] more,#developments [17] #developments,updates [17] #cudoslabs,check [17] check,amazing [16] final,part Top Word Pairs in Tweet in G8:
[67] gave,kred [67] kred,#influence [57] eli_krumova,gave [35] #influence,#stemed [35] #stemed,#girlswhocode [28] #ai,#ml [24] kred,girl_geeks [24] girl_geeks,kred [24] #girlswhocode,#ai [24] #ml,#deeplearning Top Word Pairs in Tweet in G9:
[2] ajackiehunter,ukri_news [2] ukri_news,thebhf [2] thebhf,britishacademy_ [2] britishacademy_,cr_uk [2] cr_uk,guildhe [2] guildhe,nihrresearch [2] nihrresearch,officestudents [2] officestudents,royalsociety [2] royalsociety,roysocchem Top Word Pairs in Tweet in G10:
[44] #unitednations,#sustainabledevelopment [44] #sustainabledevelopment,goal [41] goal,focused [38] #globalgoals,#tech4good [30] #sdgs,#globalgoals [30] #tech4good,#iot [28] focused,applying [26] #iot,#decadeofaction [25] applying,#sustainability [21] impact,engineered Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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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: