The graph represents a network of 1,209 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, 18 September 2021 at 18:25 UTC.
The requested start date was Saturday, 18 September 2021 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, 14-hour, 9-minute period from Saturday, 04 September 2021 at 00:25 UTC to Friday, 17 September 2021 at 14:34 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 : 1209
Unique Edges : 1211
Edges With Duplicates : 1953
Total Edges : 3164
Number of Edge Types : 5
Retweet : 639
MentionsInRetweet : 1372
Mentions : 937
Tweet : 188
Replies to : 28
Self-Loops : 217
Reciprocated Vertex Pair Ratio : 0.0348970251716247
Reciprocated Edge Ratio : 0.0674405749032615
Connected Components : 146
Single-Vertex Connected Components : 49
Maximum Vertices in a Connected Component : 664
Maximum Edges in a Connected Component : 2029
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.168532
Graph Density : 0.00123864065863639
Modularity : 0.523081
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,209 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, 18 September 2021 at 18:25 UTC.
The requested start date was Saturday, 18 September 2021 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, 14-hour, 9-minute period from Saturday, 04 September 2021 at 00:25 UTC to Friday, 17 September 2021 at 14:34 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:
[66] ibm,day [50] september,15th [50] 15th,sign [49] plan,ibm [49] day,experience [49] experience,75 [49] 75,sessions [49] sessions,100 [49] 100,speakers [49] speakers,tracks Top Word Pairs in Tweet in G1:
[22] chrisawatson_,womenwholead2 [22] womenwholead2,themissnicolina [15] housingfirstuk,housingfirstire [15] housingfirstire,chrisawatson_ [14] thepeopleshubuk,housingfirstuk [13] themissnicolina,debjshaw [10] thepeopleshubun,thepeopleshubuk [9] googleexpertuk,thepeopleshubun [8] debjshaw,theremarkab [7] themissnicolina,debj Top Word Pairs in Tweet in G2:
[2] googleexpertuk,thepeopleshubun [2] thepeopleshubun,thepeopleshubuk [2] thepeopleshubuk,housingfirstuk [2] housingfirstuk,housingfirstire [2] housingfirstire,chrisawatson_ [2] chrisawatson_,womenwholead2 [2] womenwholead2,themissnicolina [2] themissnicolina,debj [2] ajackiehunter,ukri_news [2] ukri_news,thebhf Top Word Pairs in Tweet in G3:
[17] #ai,#tech4good [16] #bigdata,#iot [10] #tech4good,#iot [9] #ai,driven [9] driven,robotics [9] robotics,key [9] key,recycling [9] recycling,challenges [9] challenges,#deeplearning [9] #deeplearning,#bigdata Top Word Pairs in Tweet in G4:
[19] support,efforts [19] efforts,protect [19] protect,#environment [19] #environment,huawei [19] huawei,doing [19] doing,address [19] address,#climateaction [19] #climateaction,learn [19] learn,more [11] #huaweinow,#ruhglobal Top Word Pairs in Tweet in G5:
[59] ibm,day [45] september,15th [45] 15th,sign [44] plan,ibm [44] day,experience [44] experience,75 [44] 75,sessions [44] sessions,100 [44] 100,speakers [44] speakers,tracks Top Word Pairs in Tweet in G6:
[3] tech4good,donates [3] donates,36 [3] 36,000 [3] 000,ppe [3] ppe,kits [3] kits,developing [3] developing,countries [3] #techforgood,#tech4good [3] #adulteducation,#adultlearners [3] #adultlearners,#skillsforwork Top Word Pairs in Tweet in G7:
[11] national,global [11] global,tech [11] tech,good [11] good,networks [9] techsoup,techsoupconnect [8] tech4goodsw,moved [8] moved,meetup [8] meetup,techsoupconnect [8] nodexl,techsoup [8] techsoupconnect,fwdhumanity Top Word Pairs in Tweet in G8:
[17] don,miss [17] miss,virtual [17] virtual,girls [17] girls,coding [17] coding,#20 [17] #20,sept [17] sept,19th [17] 19th,girls [17] girls,10 [17] 10,14 Top Word Pairs in Tweet in G9:
[3] congratulations,hyrisltd [3] hyrisltd,notpla [3] notpla,tierscooters [3] tierscooters,vestiaireco [3] vestiaireco,being [3] being,shortlisted [3] shortlisted,tech4good [3] tech4good,category [2] gpbullhound,congratulations [2] category,# Top Word Pairs in Tweet in G10:
[10] apps,accessible [5] #welcomeapp,live [5] live,#london [5] #london,westminstercity [5] westminstercity,thank [5] thank,natwestgroup [5] natwestgroup,londoncosmeticd [5] londoncosmeticd,atos [5] atos,rnib [5] rnib,couttsandco Top Replied-To in Entire Graph:
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Top Replied-To in G4:
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Top Replied-To in G7:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: