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Comparing Gender Homophily among the Multilayer Media Social Networks of Face-to-Face, Instant Messenger and Social Networking Services: A Case Study of a High School Classroom Cover

Comparing Gender Homophily among the Multilayer Media Social Networks of Face-to-Face, Instant Messenger and Social Networking Services: A Case Study of a High School Classroom

By: Naoki Maejima  
Open Access
|Sep 2020

Figures & Tables

Figure 1:

Network graphs.
Network graphs.

Figure 2:

Estimated coefficients of gender homophily by ERGM (Horizontal bars are 95% CIs).
Estimated coefficients of gender homophily by ERGM (Horizontal bars are 95% CIs).

Figure A1:

Goodness of fit of ERGM, comparing structural network statistics (Wave 1).
Goodness of fit of ERGM, comparing structural network statistics (Wave 1).

Figure A2:

Goodness of fit of ERGM, comparing structural network statistics (Wave 2).
Goodness of fit of ERGM, comparing structural network statistics (Wave 2).

Figure A3:

Goodness of fit of ERGM, comparing E-I index (Wave 1 and 2).
Goodness of fit of ERGM, comparing E-I index (Wave 1 and 2).

Figure B1:

Gender homophily parameters estimated separately for male and female by ERGM (Horizontal bars are 95% CIs).
Gender homophily parameters estimated separately for male and female by ERGM (Horizontal bars are 95% CIs).

Summarization of the gender homophily effects of IM and SNS networks and their formation principles_

MediaGender homophilyFormation principles
IMWeak positive (Wave 1)F2F communication preceded friending
None (Wave 2)Hobby homophily
SNSNone (Wave 1)F2F communication did not necessarily precede following
None (Wave 2)‘Retweet’ or ‘recommended users’ induced social ties
Hobby homophily

Information of sampled participants_

NameGenderAcademic courseClub activityRegister IM (LINE)?Register SNS (Twitter)?
AFemaleScienceCultureYesYes
BMaleLiteratureCultureYesNo
CMaleScienceCultureYesNo
DFemaleLiteratureSportsYesYes
EMaleScienceSportsYesNo
FMaleScienceCultureYesYes
GMaleScienceSportsYesYes

Descriptive statistics of students_

DimensionAttributeFrequency
Gender
Male17
Female22
Club activity
3 members3
2 members12
1 member6
Academic course
Literature18
Science21
IM (LINE)
Registered38
Not Registered1
SNS
Registered23
(Twitter)23
(Facebook)12
(Google+)8
(Instagram)8
(Other)3
Not Registered16
Total nodes39

Network statistics_

IndexF2FIMSNS
(Wave 1)
 Node count3939 (38)39 (23)
 Edge count18332 (32)34 (33)
 Density0.2470.043 (0.046)0.046 (0.13)
 Average degree (All)18.7693.282 (3.368)3.487 (5.739)
 Average degree (Male)20.0913 (3)4.182 (6.429)
 Average degree (Female)17.0593.647 (3.875)2.588 (4.667)
 E-I Index−0.486−0.438 (−0.438)−0.059 (−0.091)
(Wave 2)
 Node count3939 (38)39 (23)
 Edge count18833 (33)20 (20)
 Density0.2540.045 (0.047)0.027 (0.079)
 Average degree (All)19.2823.385 (3.474)2.051 (3.478)
 Average degree (Male)22.0913.091 (3.091)2.364 (3.714)
 Average degree (Female)15.6473.765 (4)1.647 (3.111)
 E-I Index−0.479−0.03 (−0.03)0 (0)

All estimated coefficients of ERGMs_

F2FIMIM(USERS ONLY)SNSSNS(USERS ONLY)
Wave 1
Edges−3.711***−4.093***−4.009***−4.898***−3.496***
(0.211)(0.393)(0.390)(0.418)(0.494)
Homophily (gender)0.935***0.823*0.786*0.0660.053
(0.138)(0.391)(0.394)(0.253)(0.385)
Foci (academic course)0.359*0.0300.043−0.271−0.266
(0.161)(0.379)(0.376)(0.294)(0.438)
Foci (club activity)2.902***2.702***2.690***2.285***3.187***
(0.612)(0.485)(0.496)(0.474)(0.849)
GWESP0.393***0.591*0.537*2.059***1.259***
(0.043)(0.262)(0.249)(0.289)(0.315)
AIC682.547238.872236.380217.169166.698
BIC705.587261.912259.157240.209184.365
Log Likelihood−336.273−114.436−113.190−103.584−78.349
Wave 2
Edges−3.958***−3.886***−3.826***−4.516***−3.297***
(0.207)(0.353)(0.359)(0.420)(0.455)
Homophily (gender)0.918***−0.078−0.105−0.098−0.234
(0.124)(0.362)(0.364)(0.379)(0.444)
Foci (academic course)0.345*0.4600.4610.2990.465
(0.154)(0.352)(0.347)(0.340)(0.403)
Foci (club activity)3.044***2.210***2.221***1.787**2.040**
(0.596)(0.501)(0.509)(0.587)(0.744)
GWESP0.455***0.861***0.813***1.520***0.823**
(0.038)(0.247)(0.231)(0.287)(0.284)
AIC664.692252.816249.218170.071136.207
BIC687.732275.856271.995193.111153.873
Log Likelihood−327.346−121.408−119.609−80.036−63.103
DOI: https://doi.org/10.21307/connections-2019.014 | Journal eISSN: 2816-4245 | Journal ISSN: 0226-1766
Language: English
Page range: 77 - 97
Submitted on: Jan 17, 2020
Published on: Sep 14, 2020
Published by: International Network for Social Network Analysis (INSNA)
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2020 Naoki Maejima, published by International Network for Social Network Analysis (INSNA)
This work is licensed under the Creative Commons Attribution 4.0 License.