The graph represents a network of 119 Twitter users whose recent tweets contained "dazaviz OR datavis", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 1,000 tweets. The network was obtained from Twitter on Tuesday, 17 January 2023 at 12:41 UTC.
The tweets in the network were tweeted over the 9-day, 13-hour, 0-minute period from Saturday, 07 January 2023 at 20:14 UTC to Tuesday, 17 January 2023 at 09:15 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.
Vertices : 119
Unique Edges : 130
Edges With Duplicates : 56
Total Edges : 186
Number of Edge Types : 5
Retweet : 66
Tweet : 46
Replies to : 9
MentionsInRetweet : 43
Mentions : 22
Self-Loops : 48
Reciprocated Vertex Pair Ratio : 0.043859649122807
Reciprocated Edge Ratio : 0.0840336134453782
Connected Components : 43
Single-Vertex Connected Components : 18
Maximum Vertices in a Connected Component : 14
Maximum Edges in a Connected Component : 36
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 1.385307
Graph Density : 0.00847457627118644
Modularity : 0.655242
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 119 Twitter users whose recent tweets contained "dazaviz OR datavis", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 1,000 tweets. The network was obtained from Twitter on Tuesday, 17 January 2023 at 12:41 UTC.
The tweets in the network were tweeted over the 9-day, 13-hour, 0-minute period from Saturday, 07 January 2023 at 20:14 UTC to Tuesday, 17 January 2023 at 09:15 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 : TwitterSearch
Graph Term : dazaviz OR datavis
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:
[22] #ai,#finserv [22] #insurtech,#ai [22] #iot,#iiot [20] #flutter,#html [20] #python,#iot [20] #javascript,#reactjs [20] #fintech,#insurtech [20] #iiot,#pytorch [20] #datavis,#infosec [20] #reactjs,#wordpress Top Word Pairs in Tweet in G1:
[8] data,visualizations [7] visualizations,2022 [7] 10,best [7] best,data [4] #bigdata,#datavis [4] environmental,taxes [4] 2022,#bigdata [4] taxes,#datavis [3] learn,computer [3] fundamentals,brilliant Top Word Pairs in Tweet in G2:
[10] full,time [10] role,salary [10] day,left [10] 42,519 [10] permanent,full [10] ons,permanent [10] 688,42 [10] one,day [10] team,ons [10] join,#datavis Top Word Pairs in Tweet in G3:
[8] innovation,rural [8] fhpotsdam,become [8] brandenburg,last [8] team,working [8] prototypes,join [8] last,chance [8] #datavis,#ui [8] become,part [8] apply,until [8] driven,innovation Top Word Pairs in Tweet in G4:
[8] #flutter,#html [8] #blacktechtwitter,#serverless [8] #devops,kiiara [8] #html,#azure [8] #security,#defi [8] #pytorch,#ad [8] #iiot,#pytorch [8] times,#lowkeymustbelowkey [8] #iot,#iiot [8] #javascript,#reactjs Top Word Pairs in Tweet in G5:
[7] comprehend,#datavisualisation [7] apply,theories [7] course,apply [7] specific,tools [7] visualisations,specific [7] concepts,implement [7] frameworks,comprehend [7] apply,22 [7] cognition,identify [7] perception,cognition Top Word Pairs in Tweet in G6:
[6] fab,annual [6] bars,blooper [6] annual,digest [6] highlight,fab [6] trends,stories [6] year,error [6] #datavis,over [6] helenajambor,top [6] blooper,controversy [6] stories,#datavis Top Word Pairs in Tweet in G8:
[10] #insurtech,#ai [10] #infosec,#devops [10] #mlops,#flutter [10] #html,#azure [10] #flutter,#html [10] #iot,#iiot [10] #ai,#finserv [10] #datavis,#infosec [8] #javascript,#reactjs [8] #finserv,#marketing Top Word Pairs in Tweet in G9:
[8] #historicaldatavis,#onthisday [8] #datavis,#historicaldatavis [8] #otd,jan [8] #todayinhistory,#datavis [8] #onthisday,#otd [4] jan,1626 [4] name,3215 [4] talon,born [4] jean,talon [4] 1626,jean Top Word Pairs in Tweet in G10:
[4] selected,point [4] tool,datadaptive [4] radius,#opendata [4] areas,within [4] within,specified [4] wales,areas [4] point,based [4] total,resident [4] small,area [4] counts,#census2021 Top Replied-To in Entire Graph:
Top Replied-To in G7:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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: