The graph represents a network of 169 Twitter users whose recent tweets contained "TextMining", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 30 November 2019 at 23:45 UTC.
The tweets in the network were tweeted over the 8-day, 14-hour, 19-minute period from Thursday, 21 November 2019 at 23:00 UTC to Saturday, 30 November 2019 at 13:20 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 : 175
Unique Edges : 231
Edges With Duplicates : 117
Total Edges : 348
Number of Edge Types : 4
Mentions : 212
Retweet : 86
Tweet : 45
Replies to : 5
Self-Loops : 48
Reciprocated Vertex Pair Ratio : 0.0316742081447964
Reciprocated Edge Ratio : 0.0614035087719298
Connected Components : 50
Single-Vertex Connected Components : 25
Maximum Vertices in a Connected Component : 30
Maximum Edges in a Connected Component : 111
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.328048
Graph Density : 0.00748768472906404
Modularity : 0.650713
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 169 Twitter users whose recent tweets contained "TextMining", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 30 November 2019 at 23:45 UTC.
The tweets in the network were tweeted over the 8-day, 14-hour, 19-minute period from Thursday, 21 November 2019 at 23:00 UTC to Saturday, 30 November 2019 at 13:20 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 : TextMining
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:
[35] #datascience,#textmining [34] #analyse,#visualisation [34] #visualisation,#donnéestextuelles [34] #donnéestextuelles,venez [34] venez,nombreux [34] #textmining,#langagenaturel [34] #langagenaturel,#nlp [34] #nlp,#textanalytics [31] meetupfr,#dataviz [31] #dataviz,#datasciencenantes Top Word Pairs in Tweet in G1:
[5] #感情認識ai,テキストマイニング [5] テキストマイニング,結果詳細は [5] text,mining [4] は,好きの感情が強い文章です [4] 好きの感情が強い文章です,#感情認識ai [4] mining,tidy [4] tidy,approach [4] approach,#textmining [2] help,python [2] python,assignment Top Word Pairs in Tweet in G2:
[14] #datasaveslives,#textmining [11] healthcare,text [11] 2020,london [11] #healtex,#datasaveslives [9] training,event [9] event,experimental [9] experimental,design [9] design,publication [9] publication,basic [9] basic,skill Top Word Pairs in Tweet in G3:
[8] hosting,week [8] week,#knime [8] #knime,courses [8] courses,#berlin [8] #berlin,december [8] december,13 [8] 13,2019 [8] 2019,topics [8] topics,covered [8] covered,include Top Word Pairs in Tweet in G4:
[34] #analyse,#visualisation [34] #visualisation,#donnéestextuelles [34] #donnéestextuelles,venez [34] venez,nombreux [34] #datascience,#textmining [34] #textmining,#langagenaturel [34] #langagenaturel,#nlp [34] #nlp,#textanalytics [31] meetupfr,#dataviz [31] #dataviz,#datasciencenantes Top Word Pairs in Tweet in G5:
[4] #textmining,scientific [4] scientific,papers [4] papers,featuring [4] featuring,europepmc_news [4] europepmc_news,bioschemas [4] bioschemas,lj_garcia [4] lj_garcia,#bh2019europe [4] #bh2019europe,#graphdb Top Word Pairs in Tweet in G6:
[5] #tdm,#textmining [4] petit,cr [4] cr,l'atelier [4] l'atelier,futures [4] futures,utilisations [4] utilisations,textmining [4] textmining,lors [4] lors,journée [4] journée,#visatmday [4] #visatmday,où Top Word Pairs in Tweet in G7:
[3] christmas,hanukka [3] hanukka,well [3] well,#swissuniversities [3] #swissuniversities,training [3] training,school [3] school,12 [3] 12,13 [3] 13,december [3] december,dhlabbasel [3] dhlabbasel,ubbasel Top Word Pairs in Tweet in G8:
[6] read,blogpost [6] blogpost,text [6] text,classification [6] classification,extremely [6] extremely,small [6] small,datasets [6] datasets,anirudh [6] anirudh,shenoy [6] shenoy,machine [6] machine,learning Top Word Pairs in Tweet in G9:
[4] playing,jstor [4] jstor,portico [4] portico,tdm [4] tdm,pilot [4] pilot,keyword [4] keyword,search [4] search,texts [4] texts,thanksgiving [4] thanksgiving,1900 [4] 1900,2019 Top Word Pairs in Tweet in G10:
[3] semana,compartiremos [3] compartiremos,nueva [3] nueva,entrevista [3] entrevista,#openexpo19 [3] #openexpo19,pasada [3] pasada,recordamos [3] recordamos,realizó [3] realizó,equipo [3] equipo,todostartups [3] todostartups,tomasarodrigo Top Replied-To in Entire Graph:
Top Mentioned in Entire Graph:
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 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: