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Do People Who Identify as Popular Become Popular in a New Network? A 9-Month Longitudinal Network Analysis Cover

Do People Who Identify as Popular Become Popular in a New Network? A 9-Month Longitudinal Network Analysis

Open Access
|Feb 2019

Figures & Tables

Figure 1.

The hypothetical sociogram used in the study
The hypothetical sociogram used in the study

Figure 2.

Sociograms of friendship networks at time 1 and 9

Note: Colored dots represent the participants with connector scores above the 75th percentile of the scale (Boster, Kotowski, Andrews, & Serota, 2011)
Sociograms of friendship networks at time 1 and 9 Note: Colored dots represent the participants with connector scores above the 75th percentile of the scale (Boster, Kotowski, Andrews, & Serota, 2011)

Changes in network relationships across nine observational periods

Periods0 =>00 =>11 =>01 =>1Jaccard
1 ==>242422031060.822
2 ==>342261931230.848
3 ==>442082131390.853
4 ==>541981311590.919
5 ==>641871261660.902
6 ==>741791491690.88
7 ==>841731521810.914
8 ==>94172391870.94

Zero-order correlations among the variables (N = 94)

connectorsndegreesbetndeg_intndeg_slopenbet_intnbet_slope
connector
sndegree.07
sbet.22*.63**
ndeg_int.01-.10-.03
ndeg_slope-.03.10-.08-.36**
nbet_int-.03-.05-.13.59**.16
nbet_slope.01.01.09-.40**.31**-.62**

Descriptive statistics across nine observational periods

Observation time123456789
Density0.0250.0290.0320.0370.0390.0410.0420.0450.043
Average degree2.3192.6813.0213.4043.663.7873.8944.174.043
Number of ties109126142160172178183196190
Missing fraction000000000

Results of stochastic actor-based models with tests of time heterogeneity

Model 1Model 2Model 3
Est. S.E. Est. S.E. Est. S.E.
Rate Parameters
1. Rate parameter period 10.74*0.170.74*0.180.80*0.17
2. Rate parameter period 20.69*0.160.72*0.160.68*0.14
3. Rate parameter period 30.76*0.150.76*0.160.74*0.16
4. Rate parameter period 40.41*0.110.41*0.110.42*0.11
5. Rate parameter period 50.52*0.130.54*0.130.50*0.13
6. Rate parameter period 60.65*0.140.62*0.130.65*0.14
7. Rate parameter period 70.47*0.120.49*0.120.45*0.10
8. Rate parameter period 80.33*0.090.33*0.100.31*0.09
Structural Effects
9. Density-0.85*0.27-0.76*0.26-0.80*0.27
10. Triads0.81*0.070.85*0.080.85*0.08
11. Popularity (sqrt)-0.100.13-0.170.13-0.150.13
Hypothesized Effects
12. Connector Score 0.000.060.010.07
13. S-ndegree 2.07*0.812.21*0.85
14. S-betweenness -1.30*0.46-1.33*0.47
Time-Varying Effects of Connector Score
Period 2: Connector Score 0.70*0.24
Period 3: Connector Score 0.190.22
Period 4: Connector Score 0.100.24
Period 5: Connector Score -0.050.23
Period 6: Connector Score -0.120.23
Period 7: Connector Score -0.150.24
Period 8: Connector Score 0.480.28
DOI: https://doi.org/10.21307/joss-2019-001 | Journal eISSN: 1529-1227 | Journal ISSN: 2300-0422
Language: English
Page range: 1 - 24
Published on: Feb 11, 2019
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2019 Christopher J. Carpenter, Xun Zhu, Rachel A. Smith, published by International Network for Social Network Analysis (INSNA)
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 20 (2019): Issue 1 (January 2019)