The graph represents a network of 149 Twitter users whose tweets in the requested range contained "infoviz OR infovis", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 21 December 2019 at 01:28 UTC.
The requested start date was Saturday, 21 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 12-day, 5-hour, 57-minute period from Saturday, 07 December 2019 at 13:30 UTC to Thursday, 19 December 2019 at 19:27 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 : 149
Unique Edges : 150
Edges With Duplicates : 93
Total Edges : 243
Number of Edge Types : 4
MentionsInRetweet : 81
Tweet : 28
Replies to : 10
Mentions : 124
Self-Loops : 28
Reciprocated Vertex Pair Ratio : 0.0426829268292683
Reciprocated Edge Ratio : 0.0818713450292398
Connected Components : 22
Single-Vertex Connected Components : 5
Maximum Vertices in a Connected Component : 55
Maximum Edges in a Connected Component : 103
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.031653
Graph Density : 0.00775439869399601
Modularity : 0.611039
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 149 Twitter users whose tweets in the requested range contained "infoviz OR infovis", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 21 December 2019 at 01:28 UTC.
The requested start date was Saturday, 21 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 12-day, 5-hour, 57-minute period from Saturday, 07 December 2019 at 13:30 UTC to Thursday, 19 December 2019 at 19:27 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 : infoviz OR infovis
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:
[15] #dataviz,#infovis [10] #infovis,#visualanalytics [10] #siggraph,#ieeecga [10] #infoviz,#dataviz [7] classic,blue [7] #ieeevis,infovis [6] 2020,pantone [6] pantone,color [6] color,year [6] year,classic Top Word Pairs in Tweet in G1:
[7] #ieeevis,infovis [5] infovis,2012 [5] best,paper [4] infovis,2016 [3] seankandel,apaepcke [3] apaepcke,joe_hellerstein [3] joe_hellerstein,jeffrey_heer [3] bahador10,cybunk [3] cybunk,charles_perin [3] charles_perin,alexalexatl Top Word Pairs in Tweet in G2:
[9] #infoviz,#dataviz [4] love,science [4] science,illustration [4] illustration,guidelines [4] guidelines,#colorblindness [4] #colorblindness,hyperfinestudi1 [4] hyperfinestudi1,#infoviz [3] iamscicomm,love [3] working,littlevillage [3] littlevillage,magazine Top Word Pairs in Tweet in G3:
[2] dietoff,albertocairo [2] albertocairo,srendgen [2] moritz_stefaner,seameetsskye [2] first,chapter Top Word Pairs in Tweet in G4:
[5] thank,divyakbhavani [5] divyakbhavani,doing [5] doing,story [5] story,loved [5] loved,whole [5] whole,experience [5] experience,read [5] read,the_hindu [5] the_hindu,thmetroplus [4] indiaviz,thank Top Word Pairs in Tweet in G5:
[6] heute,#4genderstudies [6] #4genderstudies,aktionstag [6] aktionstag,guter [6] guter,zeitpunkt [6] zeitpunkt,die [6] die,vielfältigen [6] vielfältigen,ergebnisse [6] ergebnisse,feminist [6] feminist,scrollytelling [5] urbane_zukunft,heute Top Word Pairs in Tweet in G6:
[5] feature,#sentilecto [5] #sentilecto,instant [5] instant,insights [5] insights,financial [5] financial,news [5] news,spanish [5] spanish,portuguese [5] portuguese,press [4] fbalbach,feature Top Word Pairs in Tweet in G8:
[15] #dataviz,#infovis [10] #infovis,#visualanalytics [10] #siggraph,#ieeecga [7] classic,blue [6] 2020,pantone [6] pantone,color [6] color,year [6] year,classic [5] #visualanalytics,#xritecolor [5] #xritecolor,#ieeevis Top Word Pairs in Tweet in G10:
[4] wrote,short [4] short,blog [4] blog,visualization [4] visualization,projects [4] projects,class [4] class,well [4] well,students [4] students,amazing [4] amazing,work [3] johntstasko,wrote Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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 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: