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Applied Network Science

Table 1 General statistics for the pre-invasion communities with more than 1000 users

From: Content-based comparison of communities in social networks: Ex-Yugoslavian reactions to the Russian invasion of Ukraine

Pseudonym

Users (%)

OT (%)

RY (%)

RT (%)

I-RT (%)

Negative sentiment (%)

Top topic

Top hashtags

Ex-Yu TS1

24

27

15

16

81

66

Mornings

euphoria, caosvima

RS democrats

18

18

33

24

82

67

Local politics

izbori2022, srbija

RS conservatives

12

10

15

11

69

69

Local politics

srbija, serbia

Croats

12

7

8

3

73

61

Mornings

dora2022, croatia

Ex-Yu TS2

5

8

11

4

64

62

Mornings

newprofilepic

Bosniaks

4

3

4

1

73

63

Local politics

sarajevo, bih

Vučić

4

9

1

30

99

64

Nationalism

vucic, srbija

Photography

4

<1

<1

1

63

54

Mornings

photography, nature

Zvezda

3

3

2

1

56

65

Sports

kkcz, fkcz

RS radicals

2

<1

<1

<1

59

55

Russia/Ukraine

serbia, srbija

Partizan

2

3

2

1

56

63

Sports

kkp, kkpartizan

Montenegro

2

3

3

2

79

67

Local politics

tbok, crnagora

Rest

7

3

3

4

70

59

Nationalism

srbija, caosvima

  1. The table shows the percentage of retweet network users belonging to a community (Users), the percentage of original tweets (OT), replies (RY), and retweets (RT) posted by the community. I-RT is the percentage of the retweets of a community that retweet the same community (intra-retweets). Negative sentiment  is the percentage of tweets with negative sentiment for a community. Finally, it shows the topic with the most tweets and the two most used hashtags. Bold values indicate the highest value for each column
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