The graph represents a network of 4,975 Twitter users whose tweets in the requested range contained "#BigData", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 30 May 2020 at 21:12 UTC.
The requested start date was Saturday, 30 May 2020 at 14:08 UTC and the maximum number of tweets (going backward in time) was 15,000.
The tweets in the network were tweeted over the 3-day, 7-hour, 33-minute period from Wednesday, 27 May 2020 at 03:05 UTC to Saturday, 30 May 2020 at 10:39 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 : 4975
Unique Edges : 5655
Edges With Duplicates : 28499
Total Edges : 34154
Number of Edge Types : 5
Tweet : 3642
Retweet : 11846
MentionsInRetweet : 15749
Mentions : 2846
Replies to : 71
Self-Loops : 4523
Reciprocated Vertex Pair Ratio : 0.0112927997109043
Reciprocated Edge Ratio : 0.0223333928890477
Connected Components : 724
Single-Vertex Connected Components : 457
Maximum Vertices in a Connected Component : 3679
Maximum Edges in a Connected Component : 32399
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.644752
Graph Density : 0.000452362334390085
Modularity : 0.253143
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 4,975 Twitter users whose tweets in the requested range contained "#BigData", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 30 May 2020 at 21:12 UTC.
The requested start date was Saturday, 30 May 2020 at 14:08 UTC and the maximum number of tweets (going backward in time) was 15,000.
The tweets in the network were tweeted over the 3-day, 7-hour, 33-minute period from Wednesday, 27 May 2020 at 03:05 UTC to Saturday, 30 May 2020 at 10:39 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 : #BigData
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in G2:
[724] big,data [267] read,more [230] gt,gt [208] machine,learning [205] #bigdata,#analytics [203] #ai,#machinelearning [183] more,#bigdata [143] covid,19 [135] #bigdata,#iot [112] #analytics,#datascience Top Word Pairs in Tweet in G3:
[291] #bigdata,#analytics [268] #analytics,#datascience [177] #iot,#iiot [174] #datascience,#ai [161] #ai,#machinelearning [132] #iiot,#python [125] #python,#rstats [119] #machinelearning,#iot [110] #stocks,#investment [109] #datascience,#iot Top Word Pairs in Tweet in G4:
[3033] big,data [2510] artificial,intelligence [2136] gt,gt [1955] read,more [1377] #bigdata,#ai [1173] daily,#bigdata [1094] machine,learning [971] #bigdata,#datascience [669] data,analytics [638] #ai,#bigdata Top Word Pairs in Tweet in G5:
[42] #bigdata,#analytics [20] #iot,#iiot [20] #analytics,#datascience [14] #iiot,#python [13] #python,#rstats [13] #datascience,#ai [11] #ai,#machinelearning [11] #machinelearning,#iot [11] #analytics,#iot [11] #rstats,#tensorflow Top Word Pairs in Tweet in G6:
[834] #bigdata,#datascience [744] #datascience,#ai [570] #bigdata,#analytics [530] #iot,#iiot [509] #ai,#machinelearning [434] #analytics,#datascience [310] #iiot,#python [256] artificial,intelligence [224] #python,#rstats [189] #datascience,#machinelearning Top Word Pairs in Tweet in G7:
[178] #bigdata,#hadoop [141] javascript,data [132] data,types [112] types,amp [105] amp,const [92] const,var [56] var,#bigdata [53] #bigdata,#ai [52] #nodejs,#javascript [49] #javascript,#npm Top Word Pairs in Tweet in G8:
[32] humongous,data [12] data,lakes [12] lakes,generated [12] generated,machines [12] machines,sensors [12] sensors,smart [12] smart,devices [10] devices,amp [8] amp,human [8] human,activities Top Word Pairs in Tweet in G9:
[34] #digitalmarketing,#growthhacking [34] #growthhacking,#startups [34] #startups,#makeyourownlane [34] #makeyourownlane,#seo [34] #seo,#marketing [34] #marketing,#contentmar [34] list,#phishing [34] #phishing,emails [34] emails,#cyberattacks [34] #cyberattacks,#cybersecurity Top Word Pairs in Tweet in G10:
[72] tant,spécialiste [60] spécialiste,#bigdata [60] #bigdata,santé [60] santé,confirme [60] confirme,l'étude [57] l'étude,#thelancet [40] #thelancet,n'est [40] n'est,fiable [40] fiable,transparente [40] adnan_bakri,tant Top Replied-To in Entire Graph:
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Top Tweeters in Entire Graph:
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