The graph represents a network of 1,037 Twitter users whose tweets in the requested range contained "datamining", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 14 November 2022 at 07:48 UTC.
The requested start date was Monday, 14 November 2022 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 4-day, 2-hour, 5-minute period from Monday, 31 October 2022 at 01:13 UTC to Friday, 04 November 2022 at 03:18 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 : 1037
Unique Edges : 413
Edges With Duplicates : 2723
Total Edges : 3136
Number of Edge Types : 5
Retweet : 1140
MentionsInRetweet : 1204
Tweet : 574
Replies to : 66
Mentions : 152
Self-Loops : 607
Reciprocated Vertex Pair Ratio : 0.00973709834469328
Reciprocated Edge Ratio : 0.0192864030858245
Connected Components : 177
Single-Vertex Connected Components : 92
Maximum Vertices in a Connected Component : 404
Maximum Edges in a Connected Component : 2105
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.936949
Graph Density : 0.000965250965250965
Modularity : 0.329306
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 1,037 Twitter users whose tweets in the requested range contained "datamining", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 14 November 2022 at 07:48 UTC.
The requested start date was Monday, 14 November 2022 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 4-day, 2-hour, 5-minute period from Monday, 31 October 2022 at 01:13 UTC to Friday, 04 November 2022 at 03:18 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 : datamining
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:
[1114] ø,ø [816] ø,ù [730] ù,ø [401] ù,ù [166] #machinelearning,scratch [166] scratch,#bigdata [148] showcases,methods [148] part,reason [148] used,acquire [148] acquire,outdated Top Word Pairs in Tweet in G1:
[89] #machinelearning,scratch [89] open,access [89] scratch,#bigdata [89] online,ebook [89] access,download [89] ebook,open [89] download,#machinelearning [88] kirkdborne,online [88] #bigdata,#datascieâ [47] #datascience,#machinelearning Top Word Pairs in Tweet in G2:
[148] showcases,methods [148] gameplay,showcases [148] methods,used [148] part,reason [148] reason,gameplay [148] acquire,outdated [148] used,acquire [147] saveyourprimos,part Top Word Pairs in Tweet in G3:
[83] #ai,#python [63] scratch,#bigdata [63] #machinelearning,scratch [62] #bigdata,#datascience [54] #serverless,#tensorflow [54] #machinelearning,#ai [50] #datascience,#statistics [48] gmail,#machinelearning [48] recover,gmail [48] dm,recover Top Word Pairs in Tweet in G4:
[126] ø,ø [92] ù,ø [72] ø,ù [62] discord,datamining [41] ù,ù [31] datamining,comment [31] datamining,discord [31] comment,commit [21] data,entry [14] #ø,ù Top Word Pairs in Tweet in G5:
[15] #agent,#listing [14] #bulk,#data [14] #listing,#datamining [13] #skiptracing,#cdldata [13] #selling,#bulk [13] #lender,#skiptracing [13] #datamining,#lender [12] info,cdldata [12] 377,4599 [12] #cdldata,#cellphone Top Word Pairs in Tweet in G6:
[941] ø,ø [719] ø,ù [618] ù,ø [350] ù,ù [112] ùšø,ø [99] ù,øªø [88] ùˆø,ù [79] ø,ùˆø [74] ø,øª [71] øªø,ø Top Word Pairs in Tweet in G8:
[116] ãƒ,ム[40] œã,ÿæ [40] wt,dataminingã [40] ÿæ,ム[40] dataminingã,œã [37] pj_shoui,wt [29] ãƒ,100 [9] defyn,oddbawz's [9] リã,ム[9] ãƒ,defyn Top Word Pairs in Tweet in G9:
[28] kart_tour,news [15] #mariokarttour,#mktn [15] news,datamining [15] #mktn,thanks [15] thanks,koopavocelot [15] week,#mariokarttour [15] spotlight,week [15] datamining,spotlight [13] updates,datamining [13] start,racing Top Word Pairs in Tweet in G10:
[30] #c,#python [30] #datamining,#c [29] #python,#ide [22] visit,#computer [22] #computer,#datamining [20] #ide,#git [11] bhavana83491661,computer [11] computer,science [10] data,mining [10] types,computers Top Replied-To in Entire Graph:
Top Replied-To in G4:
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:
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: