Table 5 Node attributes and their presentation.

From: Exploring user interaction patterns in an online physician interactive community based on exponential random graph models

Node attributes

Corresponding hypotheses

Type

Quantitative approach

professional_status

H2

Categorical variable

1 - Certified physicians

2 - Certified medical students

3 - Medical industry practitioners

honorary_status

H3

Binary categorical variable

1 - Have any community honor status

0 - Does not have any forum honor status

medical_ip

H4

Categorical variable

1 - Inefficient areas of health resource allocation

2 - Weakly efficient areas of health resource allocation

3 - Efficient areas of health resource allocation

profile

H5

Binary categorical variable

1 - Content edited in the personal profile

0 - Personal profile with empty content

effort

H6

Binary categorical variable

1 - High level of socialization effort

0 - Low level of socialization effort

popularity

H7

Binary categorical variable

1 - High level of popularity

0 - Low level of popularity

emotion

H8

Categorical variable

1 - Negative emotion

2 - Positive emotion

3 - Neutral emotion