The graph represents a network of 2,571 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, 30 May 2022 at 06:52 UTC.
The requested start date was Monday, 30 May 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, 22-hour, 10-minute period from Monday, 16 May 2022 at 00:18 UTC to Sunday, 29 May 2022 at 22:29 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 : 2571
Unique Edges : 1304
Edges With Duplicates : 7873
Total Edges : 9177
Number of Edge Types : 5
Retweet : 3219
MentionsInRetweet : 3837
Tweet : 1195
Mentions : 723
Replies to : 203
Self-Loops : 1219
Reciprocated Vertex Pair Ratio : 0.013915857605178
Reciprocated Edge Ratio : 0.027449728694542
Connected Components : 421
Single-Vertex Connected Components : 175
Maximum Vertices in a Connected Component : 1177
Maximum Edges in a Connected Component : 6851
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.385384
Graph Density : 0.000474160306441043
Modularity : 0.305763
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,571 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, 30 May 2022 at 06:52 UTC.
The requested start date was Monday, 30 May 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, 22-hour, 10-minute period from Monday, 16 May 2022 at 00:18 UTC to Sunday, 29 May 2022 at 22:29 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:
[492] #bulk,#data [323] #selling,#bulk [288] #scraping,#datamining [270] 3k,plus [266] #machinelearning,#deeplearning [257] #socialmedia,#scraping [256] #hotels,#restaurants [256] #restaurants,#leads [248] #bigdata,#datascience [223] checkout,cursortek Top Word Pairs in Tweet in G1:
[121] online,ebook [121] ebook,open [121] open,access [121] #machinelearning,scratch [121] scratch,#bigdata [119] access,download [119] download,#machinelearning [118] kirkdborne,online [118] #bigdata,#datascie [106] #machinelearning,#deeplearning Top Word Pairs in Tweet in G2:
[492] #bulk,#data [323] #selling,#bulk [286] #scraping,#datamining [270] 3k,plus [255] #socialmedia,#scraping [254] #hotels,#restaurants [254] #restaurants,#leads [223] checkout,cursortek [220] cursortek,#selling [205] #datascience,#iot Top Word Pairs in Tweet in G3:
[36] brazil,sfe [36] sfe,terms [36] terms,#cup [36] #cup,#closeup [36] #closeup,#closeupinternational [36] #closeupinternational,#datamining [36] #datamining,#ddd [36] #td,#territorialdata [34] data,entry [27] #indústriafarmacêutica,#varejo Top Word Pairs in Tweet in G4:
[22] #datascience,#dataanalytics [22] #datamining,#datascience [17] #bigdata,#datamining [12] #datascience,#datamining [12] #bigdata,impact [12] impact,#cloudcomputing [12] #datamining,#5g [12] #5g,#iot [12] #iot,#datascience [12] #datascientist,#datavisualization Top Word Pairs in Tweet in G5:
[135] datamining,hints [135] hints,10 [135] 10,additional [135] additional,characters [135] characters,mario [135] mario,strikers [135] strikers,battle [135] battle,league [134] gonintendotweet,datamining Top Word Pairs in Tweet in G6:
[64] pj_shoui,wt [51] wt,dataminingされた新しいゲームモード [51] dataminingされた新しいゲームモード,fps経験者なら分かるアレ [16] wt,datamining [12] 1st,devのdatamining [12] devのdatamining,amx系列の車両の後退速度が軒並み増えてるが [12] amx系列の車両の後退速度が軒並み増えてるが,このまま適用されればかなりbuffでは [11] pj_shoui,1st [10] pre,order [7] pj_shoui,devのdataminingでホワイトロック要塞が削除された事になってるんだが本当ですかね Top Word Pairs in Tweet in G7:
[100] peach,vs [100] vs,bowser [100] bowser,tour [97] kart_tour,news [81] news,datamining [63] datamining,special [63] special,pipes [63] pipes,one [63] one,week [63] week,pipe Top Word Pairs in Tweet in G8:
[40] مع,الشباب [40] الله,تعالى [40] رابط,التسجيل [40] التسجيل,لحضور [39] على,بركة [39] بركة,الله [38] أبناء,المحافظة [38] المحافظة,كما [38] كما,وعدناكم [38] وعدناكم,باللقاء Top Word Pairs in Tweet in G9:
[46] nights,dreams [46] dreams,bunch [46] bunch,unused [46] unused,character [46] character,animations [46] animations,video [46] video,analyse [46] analyse,animations [46] animations,speculate [45] digi_valentine,nights Top Word Pairs in Tweet in G10:
[40] social,media [34] eveningstandard,harry [34] harry,complains [34] complains,large [34] large,social [34] media,companies [34] companies,making [34] making,money [34] money,user [34] user,data Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
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: