The graph represents a network of 6,714 Twitter users whose tweets in the requested range contained "data visualization", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 17 September 2020 at 06:36 UTC.
The requested start date was Thursday, 17 September 2020 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 11-day, 22-hour, 19-minute period from Friday, 04 September 2020 at 14:00 UTC to Wednesday, 16 September 2020 at 12:19 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 : 6714
Unique Edges : 3968
Edges With Duplicates : 10647
Total Edges : 14615
Number of Edge Types : 5
Tweet : 1950
Retweet : 4721
MentionsInRetweet : 6129
Mentions : 1424
Replies to : 391
Self-Loops : 2003
Reciprocated Vertex Pair Ratio : 0.0171468728039353
Reciprocated Edge Ratio : 0.0337156280226613
Connected Components : 1500
Single-Vertex Connected Components : 746
Maximum Vertices in a Connected Component : 2541
Maximum Edges in a Connected Component : 7974
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 6.678716
Graph Density : 0.00016056858808049
Modularity : 0.512724
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 6,714 Twitter users whose tweets in the requested range contained "data visualization", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 17 September 2020 at 06:36 UTC.
The requested start date was Thursday, 17 September 2020 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 11-day, 22-hour, 19-minute period from Friday, 04 September 2020 at 14:00 UTC to Wednesday, 16 September 2020 at 12:19 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 : data visualization
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:
[4289] data,visualization [296] happy,announce [296] library,data [296] visualization,complete [295] python,library [293] announce,official [293] official,11 [293] 11,release [293] release,seaborn [293] seaborn,python Top Word Pairs in Tweet in G1:
[653] data,visualization [33] data,analysis [29] data,science [25] visualization,python [24] analysis,visualization [23] visualization,data [23] python,data [19] power,bi [16] covid,19 [16] data,analytics Top Word Pairs in Tweet in G2:
[653] data,visualization [178] visualization,python [129] python,data [112] d3,js [88] data,science [86] #machinelearning,#ad [69] #100daysofcode,#deeplearning [67] #deeplearning,#iot [67] #dataviz,#weather [66] science,#100daysofcode Top Word Pairs in Tweet in G3:
[292] data,visualization [282] happy,announce [282] announce,official [282] official,11 [282] 11,release [282] release,seaborn [282] seaborn,python [282] python,library [282] library,data [282] visualization,complete Top Word Pairs in Tweet in G4:
[370] data,visualization [55] tdatascience,data [47] visualization,101 [39] visualization,python [35] data,science [33] interactive,data [32] visualization,using [30] 101,steps [30] steps,effective [29] effective,visualizations Top Word Pairs in Tweet in G5:
[134] data,visualization [18] visualization,tools [16] state,data [16] visualization,people [16] people,make [15] make,#dataviz [15] #dataviz,contribute [15] contribute,understanding [15] understanding,state [15] combine,adobe Top Word Pairs in Tweet in G6:
[176] organizations,realizing [176] realizing,importance [176] importance,data [176] data,prepping [176] prepping,data [176] data,management [175] management,data [175] data,visualization [175] visualization,foundational [173] omkar_raii,organizations Top Word Pairs in Tweet in G7:
[116] data,visualization [81] machine,learning [38] visualization,machine [36] mobile,development [36] development,seo [36] seo,sem [36] sem,marketing [36] marketing,data [35] 10,tech [35] tech,skills Top Word Pairs in Tweet in G8:
[125] behind,veil [125] veil,hubble [125] hubble,3d [125] 3d,data [125] data,visualization [125] visualization,artists [125] artists,take [125] take,ribbons [125] ribbons,gas [125] gas,dust Top Word Pairs in Tweet in G9:
[116] data,visualization [112] nytimes,tb_times [111] ethicalskeptic,ve [111] ve,made [111] made,efforts [111] efforts,alert [111] alert,nytimes [111] tb_times,misleading [111] misleading,data [111] visualization,tactics Top Word Pairs in Tweet in G10:
[62] smith,college [62] college,looking [62] looking,assistant [62] assistant,professor [62] professor,statistical [62] statistical,data [62] data,sciences [62] sciences,specialties [62] specialties,data [62] data,ethics Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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