1 Presentations, Posters & Technical Reports
This page catalogs conference posters, invited lecture slide decks, grant proposals, and empirical technical reports produced during the NetSense study. These documents detail the study design, theoretical motivations, data pipeline architecture, and initial findings on social network evolution.
1.1 Conference Posters
High-resolution conference presentation posters detailing network evolution and formation dynamics.
David Hachen
Presented at the International Conference on Social Computing and its Applications (SoCS 2013).
Overview of the NetSense multi-modal sensing infrastructure, tracking face-to-face interactions via Bluetooth proximity and digital communication channels across the college transition.
Lei Wang, David Hachen, & Omar Lizardo
Presented at NetSci: International School and Conference on Network Science.
Empirical analysis of tie formation mechanisms, proximity pings, and demographic homophily governing dyadic persistence over academic terms.
1.2 Invited Talks & Slide Decks
Slide decks from invited colloquia, university seminars, and conference presentations outlining the sociology of cultural tastes, network change, and sensor telemetry.
| Presentation Title | Speaker & Event / Venue | Format | Download |
|---|---|---|---|
| Network Evolution, Culture, and Social Tie Formation | Omar Lizardo — Duke University (September 2012) | Beamer PDF | PDF (4.7 MB) |
| Cultural Tastes and Social Networks | Omar Lizardo — Columbia University (September 2012) | Beamer PDF | PDF (1.6 MB) |
| The Life of a Tie: Formation, Persistence, and Development | David Hachen, Omar Lizardo, et al. — IC2S2 2015 (Helsinki) (June 2015) | Presentation PDF | PDF (674 KB) |
| Dynamic Ego Networks | David Hachen, Omar Lizardo, et al. — NetSci 2014 Symposium (June 2014) | Beamer PDF | PDF (866 KB) |
| Dynamic Ego Networks: Growth, Stability, Change & Inequality | David Hachen, Omar Lizardo, et al. — Indiana University (November 2013) | Beamer PDF | PDF (654 KB) |
| The NetSense Study: Dynamics of Social Networks | Omar Lizardo — City College of New York (CCNY) (April 2012) | Beamer PDF | PDF (1.3 MB) |
| The NetSense Study: Design & First-Semester Homophily | Omar Lizardo — Sunbelt XXXII (INSNA) (March 2012) | PowerPoint | PPTX (79 KB) |
| The Effects of Individual Traits on Network Formation | NetSci 2013 Conference | PowerPoint | PPTX (336 KB) |
| NetSense Study Overview & Public Briefing | Omar Lizardo — Notre Dame Alumni Event | PowerPoint | PPTX (101 KB) |
| NetSense Data Architecture & Merging Logic | David Hachen — NetSense Research Team | PowerPoint | PPTX (30 KB) |
1.3 Technical Reports & Working Memos
Methodological white papers and grant deliverables documenting data preparation rules, tie definitions, and structural distributions.
NetSense Research Team
A comprehensive technical report documenting the longitudinal evolution of the student network over 45 continuous academic weeks, integrating call records, text messages, Bluetooth proximity events, and survey rounds.
David Hachen & Research Team
Report analyzing edge types in the NetSense telemetry streams to cleanly separate relationships formed prior to entering college from new friendships initiated on campus.
Omar Lizardo
Detailed technical monograph examining total, pre-existing, and new-tie degree distributions across student demographic attributes, Big Five personality traits, drinking behavior, and social media activity.
Margaret Pistorius & NetSense Team
Methodological documentation on establishing active tie thresholds, handling missing weeks, and calculating dyadic activity indicators from weekly communication matrices.
David Hachen, Omar Lizardo, et al.
Full NSF Interdisciplinary Behavioral and Social Science (IBSS) grant proposal outlining the theoretical mechanisms of network co-evolution, homophily, and digital phenotyping.
David Hachen & Omar Lizardo
The Dynamics of Social Networks and Individual Attributes in a College Cohort. Conference manuscript submitted to NetSci 2013.
Lei Meng
Technical summary memo and supplement examining network similarity across five communication channels (SMS, Phone calls, Email, Facebook, and Bluetooth proximity).
Download Summary PDF (150 KB) Download Supplement PDF (1.2 MB)
David Hachen, Omar Lizardo, et al.
Theoretical and empirical working manuscript developing the mathematical framework separating “effective” (retained) vs. “active” (momentary) vertex degree and defining the dynamic tie churn parameter (\(\kappa\)).
1.4 Demographic Survey Recoding Scripts
Original Stata command files (.do) documenting how raw survey response items were recoded, normalized, and combined across demographic survey waves.
| Wave / Task | File Name | Description | Download |
|---|---|---|---|
| Wave 1 (Summer 2011) | Summer 2011(W1) - Demographic Syntax.do |
Entry demographic recodes and Big Five scale scoring | Download .do |
| Wave 2 (Winter 2012) | Winter 2012(W2) - Demographic Syntax.do |
Freshman winter survey variable harmonization | Download .do |
| Wave 3 (Summer 2012) | Summer 2012(W3) - Demographic Syntax.do |
End-of-year freshman recodes | Download .do |
| Wave 4 (Fall 2012) | Fall 2012(W4) - Demographic Syntax.do |
Sophomore fall survey recodes | Download .do |
| Wave 5 (Winter 2013) | Winter 2013(W5) - Demographic Syntax.do |
Sophomore winter survey recodes | Download .do |
| Wave 6 (Summer 2013) | Summer 2013(W6) - Demographic Syntax.do |
End-of-sophomore survey recodes | Download .do |
| Longitudinal Merge | Merging Demographic Surveys Syntax.do |
Syntax joining all six survey rounds into the master panel | Download .do |