The graph represents a network of 1,126 Twitter users whose tweets in the requested range contained "datascientist", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 06 September 2021 at 19:00 UTC.
The requested start date was Monday, 06 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 2-day, 8-hour, 5-minute period from Friday, 03 September 2021 at 15:42 UTC to Sunday, 05 September 2021 at 23:47 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 : 1126
Unique Edges : 774
Edges With Duplicates : 15062
Total Edges : 15836
Number of Edge Types : 5
Retweet : 7046
MentionsInRetweet : 7994
Tweet : 509
Mentions : 283
Replies to : 4
Self-Loops : 548
Reciprocated Vertex Pair Ratio : 0.00577700751010976
Reciprocated Edge Ratio : 0.0114876507754164
Connected Components : 25
Single-Vertex Connected Components : 7
Maximum Vertices in a Connected Component : 1067
Maximum Edges in a Connected Component : 15737
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.293004
Graph Density : 0.00274876652851786
Modularity : 0.140472
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 1,126 Twitter users whose tweets in the requested range contained "datascientist", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 06 September 2021 at 19:00 UTC.
The requested start date was Monday, 06 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 2-day, 8-hour, 5-minute period from Friday, 03 September 2021 at 15:42 UTC to Sunday, 05 September 2021 at 23:47 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 : datascientist
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:
[4010] #bigdata,#analytics [3357] #analytics,#datascience [2649] #datascience,#ai [2352] #iot,#iiot [2089] #ai,#machinelearning [1706] #pytorch,#python [1672] #machinelearning,#bigdata [1448] #machinelearning,#iot [1382] #python,#rstats [1151] #iiot,#pytorch Top Word Pairs in Tweet in G1:
[757] #bigdata,#analytics [728] #analytics,#datascience [582] #datascience,#ai [545] #iot,#iiot [502] #ai,#machinelearning [375] #machinelearning,#iot [345] #python,#rstats [294] #iiot,#pytorch [281] #pytorch,#python [201] #iiot,#python Top Word Pairs in Tweet in G2:
[2727] #bigdata,#analytics [2199] #analytics,#datascience [1697] #datascience,#ai [1511] #iot,#iiot [1288] #ai,#machinelearning [1194] #machinelearning,#bigdata [1144] #pytorch,#python [921] #machinelearning,#iot [843] #python,#rstats [749] #iiot,#pytorch Top Word Pairs in Tweet in G3:
[326] #bigdata,#analytics [266] #machinelearning,#bigdata [249] #analytics,#datascience [217] #datascience,#ai [184] check,article [184] article,cppsecrets [184] cppsecrets,#cppsecrets [179] #iot,#iiot [118] #python,#rstats [113] #ai,#iot Top Word Pairs in Tweet in G4:
[115] #pytorch,#python [112] #tensorflow,#javascript [112] #dataanalytics,#machinelearning [110] #datascience,#pytorch [110] #python,#tensorflow [82] #machinelearning,#bigdata [77] #bigdata,#datascience [61] lovely,ar [61] ar,powered [61] powered,glass Top Word Pairs in Tweet in G5:
[109] #bigdata,#analytics [97] #ai,#machinelearning [97] #analytics,#datascience [81] #datascience,#ai [61] #iot,#iiot [47] enricomolinari,#datascientist [45] #machinelearning,#iot [43] future,work [43] work,covid [43] covid,19 Top Word Pairs in Tweet in G6:
[81] #ai,#machinelearning [46] #artificialintelligence,#ai [45] #machinelearning,#technology [43] #technology,#datascience [43] #datascience,#deeplearning [42] #deeplearning,#python [42] #bigdata,#analytics [42] #python,#programming [40] #programming,#tech [40] #tech,#robotics Top Word Pairs in Tweet in G7:
[15] read,more [11] decision,intelligence [11] ronald_vanloon,read [10] #bigdata,#analytics [10] #analytics,#datascience [9] #ai,#machinelearning [9] ronald_vanloon,decision [8] more,#simplilearnpartner [8] #datascience,#ai [8] #iot,#iiot Top Word Pairs in Tweet in G8:
[45] #pytorch,#python [41] #dataanalytics,#machinelearning [40] lovely,ar [40] ar,powered [40] powered,glass [40] glass,#dataanalytics [40] #machinelearning,#bigdata [40] #bigdata,#datascience [40] #datascience,#pytorch [40] #python,#tensorflow Top Word Pairs in Tweet in G9:
[8] ifc_org,member [8] member,worldbank [8] worldbank,group [8] group,seeking [8] seeking,local [8] local,#datascientist [8] #datascientist,#mongolia [8] #mongolia,consultancy [8] consultancy,area [7] roberteritz,ifc_org Top Word Pairs in Tweet in G10:
[8] hurt,realized [8] realized,being [8] being,data [8] data,scientist [8] scientist,more [8] more,data [8] data,cleaning [8] cleaning,formatting [8] formatting,less [8] less,data Top Replied-To in Entire Graph:
Top Replied-To in G2:
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: