The graph represents a network of 10,031 Twitter users whose recent tweets contained "#TrumpCrimeFamily", 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 Thursday, 15 October 2020 at 21:37 UTC.
The tweets in the network were tweeted over the 3-hour, 25-minute period from Thursday, 15 October 2020 at 17:54 UTC to Thursday, 15 October 2020 at 21:19 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 : 10031
Unique Edges : 18837
Edges With Duplicates : 4339
Total Edges : 23176
Number of Edge Types : 5
Retweet : 13734
MentionsInRetweet : 2401
Tweet : 2422
Mentions : 1797
Replies to : 2822
Self-Loops : 2485
Reciprocated Vertex Pair Ratio : 0.00193298969072165
Reciprocated Edge Ratio : 0.00385852090032154
Connected Components : 1114
Single-Vertex Connected Components : 969
Maximum Vertices in a Connected Component : 8721
Maximum Edges in a Connected Component : 21699
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.809532
Graph Density : 0.000185466926903469
Modularity : 0.511642
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 10,031 Twitter users whose recent tweets contained "#TrumpCrimeFamily", 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 Thursday, 15 October 2020 at 21:37 UTC.
The tweets in the network were tweeted over the 3-hour, 25-minute period from Thursday, 15 October 2020 at 17:54 UTC to Thursday, 15 October 2020 at 21:19 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 : TwitterSearch
Graph Term : #TrumpCrimeFamily
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:
[1757] stole,money [1651] donald,trump [1425] money,thru [1425] thru,unsuccessful [1425] unsuccessful,trump [1328] eric,trump [1315] hunter,biden [1287] tax,fraud [1285] money,laundering [1219] donald,jr Top Word Pairs in Tweet in G1:
[402] #trumpcrimefamily,#lockthemup [400] 41,trademarks [399] trade,negotiations [399] negotiations,between [386] #ivankatrump,received [386] received,41 [386] #china,during [386] during,trade [386] between,daddy [386] daddy,#presidentxi Top Word Pairs in Tweet in G2:
[458] hunter,biden [393] meidastouch,#trumpcrimefamily [381] #trumpcrimefamily,#vote [380] americans,locked [380] locked,down [380] down,due [380] due,highly [380] highly,contagious [380] contagious,#coronavirus [380] #coronavirus,tiffany Top Word Pairs in Tweet in G3:
[67] #byetiffany,#trumpcrimefamily [25] #trumpcrimefamily,#trumpisalaughingstock [21] #erictrumpukrainescandal,#trumpcrimefamily [19] #trumpcrimefamily,#trumpisnotamerica [16] joe,biden [15] #trumpcrimefamily,#trumptaxreturns [15] #trumpcrimefamily,#trump [13] #trumpcrimefamily,#votebidenharris2020 [12] #trumpcrimefamily,#byetiffany [12] #trumpcrimefamily,#trumpcovid19 Top Word Pairs in Tweet in G4:
[684] stole,money [668] donald,trump [649] money,laundering [648] melania,war [646] tax,fraud [646] eric,trump [645] trump,genocide [645] genocide,extortion [645] extortion,money [645] laundering,tax Top Word Pairs in Tweet in G5:
[399] stole,money [352] hunter,biden [317] kids,cancer [317] steve,bannon [317] bannon,helping [317] helping,trump [317] trump,fabricated [317] fabricated,hunter [317] biden,emails [317] emails,scam Top Word Pairs in Tweet in G6:
[554] family,#trumpcrimefamily [551] crime,family [550] family,crime [549] anyone,find [549] find,ironic [549] ironic,appears [549] appears,trump [549] trump,people [549] people,propagating [549] propagating,hacked Top Word Pairs in Tweet in G7:
[873] money,thru [873] thru,unsuccessful [873] unsuccessful,trump [582] trump,hotel [310] ivanka,trump [291] trump,laundered [291] laundered,iranian [291] iranian,guard [291] guard,money [291] hotel,azerbijan Top Word Pairs in Tweet in G8:
[527] rest,#trumpcrimefamily [488] #byetiffany,rest [486] #trumpcrimefamily,pass [486] pass,#onev1 [486] #onev1,#demvoice1 [481] people,waiting [481] waiting,months [481] months,counting [481] counting,hug [481] hug,loved Top Word Pairs in Tweet in G9:
[267] #byetiffany,#trumpcrimefamily [256] ignore,watch [256] watch,#byetiffany [256] #trumpcrimefamily,#bidenharris2020 [155] re,popping [148] #crookeddonaldtrump,#trumpcrimefamily [144] popping,#crookedjoebiden [144] #crookedjoebiden,trend [144] trend,crooked [144] crooked,criminal Top Word Pairs in Tweet in G10:
[261] #byetiffany,#trumpcrimefamily [248] #trumpcrimefamily,#erictrumpsukrainescandal [247] #erictrumpsukrainescandal,#covid__19 [247] #covid__19,#twittercensorship [247] #twittercensorship,#nbcblackout [235] such,thing [235] thing,#crookedjoebiden [235] #crookedjoebiden,#byetiffany [185] fake,hash [185] hash,tags Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
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 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: