The graph represents a network of 3 172 Twitter users whose recent tweets contained "(#infodemic OR #disinformation OR #propaganda) (corona OR covid)", 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, 04 April 2020 at 11:18 UTC.
The tweets in the network were tweeted over the 7-day, 13-hour, 37-minute period from Friday, 27 March 2020 at 20:51 UTC to Saturday, 04 April 2020 at 10:28 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 : 3239
Unique Edges : 3604
Edges With Duplicates : 463
Total Edges : 4067
Number of Edge Types : 5
Mentions : 574
Retweet : 1226
MentionsInRetweet : 1653
Tweet : 441
Replies to : 173
Self-Loops : 456
Reciprocated Vertex Pair Ratio : 0,00408997955010225
Reciprocated Edge Ratio : 0,00814663951120163
Connected Components : 343
Single-Vertex Connected Components : 157
Maximum Vertices in a Connected Component : 2076
Maximum Edges in a Connected Component : 2662
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4,631544
Graph Density : 0,000327711543665346
Modularity : 0,805587
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 3 172 Twitter users whose recent tweets contained "(#infodemic OR #disinformation OR #propaganda) (corona OR covid)", 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, 04 April 2020 at 11:18 UTC.
The tweets in the network were tweeted over the 7-day, 13-hour, 37-minute period from Friday, 27 March 2020 at 20:51 UTC to Saturday, 04 April 2020 at 10:28 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 : (#infodemic OR #disinformation OR #propaganda) (corona OR covid)
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:
[1008] updated,information [995] information,sources [878] fake,news [876] make,sure [872] information,check [869] latest,report [868] beware,#infodemic [868] #infodemic,fake [868] news,spreading [868] spreading,#covid19 Top Word Pairs in Tweet in G1:
[844] fake,news [843] beware,#infodemic [843] #infodemic,fake [843] news,spreading [843] spreading,#covid19 [843] #covid19,make [843] make,sure [843] sure,verify [843] verify,information [843] information,sources Top Word Pairs in Tweet in G2:
[105] #covid19,#coronavirus [90] 80,russia [90] russia,sent [90] sent,italy [90] italy,totally [90] totally,useless [90] useless,italian [90] italian,newspaper [90] newspaper,stampa's [90] stampa's,high Top Word Pairs in Tweet in G3:
[33] covid,19 [8] #covid19,#covid_19 [7] #covid,19 [6] #propaganda,#corona [5] #covid19,#coronavirus [5] corona,virus [5] #covid_19,#coronavirus [5] social,media [4] #coronavirus,#propaganda [4] #coronavirus,#covid_19 Top Word Pairs in Tweet in G4:
[137] information,sources [137] updated,information [127] help,fight [127] fight,#infodemic [123] looking,updated [123] information,#covid19 [123] #covid19,official [123] official,sources [123] sources,help [123] #infodemic,use Top Word Pairs in Tweet in G5:
[150] क,ड [150] ड,क [150] क,टर [150] टर,बत [150] बत,य [150] #coronaupdate,#medialies [150] #medialies,#propaganda [150] #propaganda,#thequint [122] र,क [122] न,क Top Word Pairs in Tweet in G6:
[139] #ccot,#maga [139] #maga,#propaganda [139] #coronaupdate,#covid_19 [139] #covid_19,#corona [139] #corona,#coronalockdown [108] #coronalockdown,#coronavirus [100] #tcot,#ccot [100] #trump2020nowmorethanever,#coronaupdate [93] #trump2020,#conservatives [84] #conservatives,#tcot Top Word Pairs in Tweet in G7:
[8] presenza,dei [8] dei,soldati [8] soldati,russi [8] russi,sul [8] sul,suolo [8] suolo,italiano [8] italiano,utile [8] utile,mera [8] mera,#propaganda [8] #propaganda,io Top Word Pairs in Tweet in G8:
[31] unodc,tackling [31] tackling,#infodemic [31] #infodemic,#misinformation [31] #misinformation,#cybercrime [31] #cybercrime,#covid19 [31] #covid19,crisis [19] crisis,follow [19] follow,ghadafathiwaly [19] ghadafathiwaly,melissafleming [19] melissafleming,jenswandel Top Word Pairs in Tweet in G9:
[54] online,course [54] tackle,misinformation [49] misinformation,produce [49] produce,credible [49] credible,coverage [48] alongside,#coronavirus [48] #coronavirus,#infodemic [48] #infodemic,march [48] march,ve [48] ve,designed Top Word Pairs in Tweet in G10:
[23] gt,co [7] covid,19 [5] radiofreeasia,gt [5] #covid19,#coronavirus [4] early,january [3] #chinese,covid [3] 19,#disinformation [3] #disinformation,campaigns [3] campaigns,commenced [3] commenced,early Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G4:
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: