The graph represents a network of 1,343 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, 30 July 2022 at 18:32 UTC.
The requested start date was Saturday, 30 July 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, 13-hour, 20-minute period from Saturday, 16 July 2022 at 00:32 UTC to Friday, 29 July 2022 at 13:53 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 : 1343
Unique Edges : 1996
Edges With Duplicates : 4133
Total Edges : 6129
Number of Edge Types : 5
Mentions : 1195
Retweet : 1554
MentionsInRetweet : 3262
Tweet : 105
Replies to : 13
Self-Loops : 223
Reciprocated Vertex Pair Ratio : 0.0433176628609805
Reciprocated Edge Ratio : 0.0830383006115224
Connected Components : 103
Single-Vertex Connected Components : 30
Maximum Vertices in a Connected Component : 965
Maximum Edges in a Connected Component : 5375
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.218356
Graph Density : 0.00172390260033535
Modularity : 0.366758
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,343 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, 30 July 2022 at 18:32 UTC.
The requested start date was Saturday, 30 July 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, 13-hour, 20-minute period from Saturday, 16 July 2022 at 00:32 UTC to Friday, 29 July 2022 at 13:53 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:
[240] #iot,#5g [206] gave,kred [206] kred,#influence [163] #machinelearning,#deeplearning [158] eli_krumova,gave [151] #5g,#ai [130] #iot,#iiot [128] #ai,#5g [126] #5g,#100daysofcode [124] #ai,#artificialintelligence Top Word Pairs in Tweet in G1:
[175] #iot,#5g [113] #machinelearning,#deeplearning [109] #5g,#ai [87] #5g,#100daysofcode [82] #ai,#5g [76] #tech4good,#socialmedia [76] fabriziobustama,digitaltrends [68] #ai,#100daysofcode [66] #tech4good,#innovation [63] #100daysofcode,#iot Top Word Pairs in Tweet in G2:
[21] let's,social [21] social,social [21] social,networking [21] networking,social [21] social,housing [21] housing,please [21] please,join [21] join,free [21] free,monthly [20] googleexpertuk,let's Top Word Pairs in Tweet in G3:
[206] gave,kred [206] kred,#influence [158] eli_krumova,gave [119] #ai,#ml [102] #ml,#iot [99] #influence,#stem [96] #womeninstem,#womenintech [85] #iot,#iiot [74] #stem,#womeninstem [68] #womenintech,#womenwhocode Top Word Pairs in Tweet in G4:
[86] #ai,#artificialintelligence [68] gigadgets_,#ai [35] jet,suit [35] suit,game [35] game,changer [35] changer,future [35] future,military [35] military,operations [35] operations,gigadgets_ [34] ronald_vanloon,jet Top Word Pairs in Tweet in G5:
[31] student,creates [31] creates,breast [31] breast,cancer [31] cancer,test [31] test,take [31] take,home [31] home,#tech4good [31] #tech4good,wef [31] wef,#healthtech [31] #healthtech,cc Top Word Pairs in Tweet in G6:
[8] billmew,reports [7] #tech4good,#tech4all [6] #iot,#5g [6] energy,efficiency [5] #innovation,#socialmedia [5] huawei,takes [5] takes,action [5] action,help [5] help,operators [5] operators,address Top Word Pairs in Tweet in G7:
[20] #ai,#5g [20] #machinelearning,#deeplearning [17] #iot,#ai [16] fabriziobustama,spider [16] spider,pen [16] pen,fnmeka [16] fnmeka,#100daysofcode [16] #100daysofcode,#robotics [16] #robotics,#iot [16] #5g,#artificialintelligence Top Word Pairs in Tweet in G8:
[3] #tech,#tech4good [2] #iitguwahati,researchers [2] researchers,design [2] design,electricity [2] electricity,free [2] free,radiative [2] radiative,cooler [2] cooler,#radiativecooling [2] #radiativecooling,#coolingsystem [2] #coolingsystem,#coolers Top Word Pairs in Tweet in G9:
[10] today,begin [10] begin,virtual [10] virtual,training [10] training,100 [10] 100,participants [10] participants,#southafrica [10] #southafrica,#lesotho [10] #lesotho,#zambia [10] #zambia,#botswana [10] #botswana,#namibia Top Word Pairs in Tweet in G10:
[7] left,go [6] gamersbeatc,day [5] day,left [5] go,next [5] next,charity [5] charity,stream [5] stream,year [5] year,cyberpoweruk [5] cyberpoweruk,sensational [5] sensational,itssunpi Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
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: