Notes on Connecting in College — Chapter 1: Friendship Networks
Where to Draw the Line? Measuring Friendship
Definition of friendship is variable; participants define and justify who counts as a friend.
Key features distinguishing friends from nonfriends include trust, closeness, a shared connection, time spent together, and mutual understanding; friendships involve honesty, similar interests, shared experiences, and duration.
In this study, participants defined friendships openly and discussed how they drew the line between friends and acquaintances.
Average number of named friends: 18; range from 3 to 60; most students named 6–25 friends.
Demographic data were collected for each friend and whether each pair of friends knew each other; this enabled analysis of network density, betweenness centrality, and modularity.
Composition of friendships on MU campus: on average, 53% met on campus (MU), 12% from home (and also MU), 26% from home, 9% from other settings.
Meeting pattern on campus increases with time on campus: 1st year ~40% on campus; 2nd year ~46%; 3rd year+ ~57%.
Proximity and homophily influence who becomes friends (dorms, classes, organizations, shared spaces; race/ethnicity also influences patterns).
Most close/frequent contact with friends occurs face-to-face; with recently met or home friends, electronic communication (Facebook, IM, etc.) plays a larger role.
Definitions of friendship vary by race, class, and gender; trust and closeness are the most common criteria across groups.
Network Types: Dense Structures in Friendship Networks
Social network analysis uses sociograms (nodes = people; edges = ties) and measures like density, betweenness centrality, and modularity to describe structure.
Density: proportion of actual ties to possible ties among an ego’s friends.
Three network types emerged as thirds of the density distribution:
Tight-knitters: highly dense networks (density ); friends form one cohesive group; average ego-network size smaller.
Compartmentalizers: middle-density networks (); friends organized into 2–4 clusters.
Samplers: low-density networks (); friends are sparsely connected; more one-on-one ties.
Density, betweenness centrality, and modularity together differentiate network types.
Density range observed: from 0.08 to 1.00; average around 0.56.
Betweenness centrality (normalized 0–1): measures how central the ego is in connecting others.
Tight-knitters: average centrality
Compartmentalizers:
Samplers:
Modularity (range ; positive means clearer sub-communities):
Tight-knitters:
Compartmentalizers:
Samplers:
Implications: betweenness and modularity differentiate network types; density distinguishes between types but does not separate compartmentalizers from samplers.
Network type correlates with demographics and outcomes (described below).
Network Types by Demographics
Size differences:
Tight-knitters: smaller networks (~13 friends)
Compartmentalizers and Samplers: larger networks (~20 friends)
Race and class associations:
Most white students are compartmentalizers; most black and Latino students are tight-knitters.
Samplers are a smaller share across groups (~20%).
Other characteristics:
Samplers more likely to live on campus; less likely to be in a romantic relationship.
Tight-knitters more likely to work; however, employed samplers work longer hours than tight-knitters.
Academic and success indicators:
Tight-knitters tend to have lower ACT scores, GPAs, and graduation rates than other types.
Racial composition interacts with network type in shaping experiences and coping strategies.
Summary: network type is a meaningful predictor of academic and social outcomes, with race and class shaping which network type students form.
Gender: Similarities More Than Differences
Overall, few gender differences in friendship structure; more similarities than differences.
Women’s networks: slightly fewer friends overall but similar density and proportions of MU/home connections.
Women’s friendships: a higher share of female friends (about 72% of women’s friendships) vs men (about 59% male friends).
Fraternity status influences male networks: affiliated men have more same-gender ties (avg ~69% male friends) than unaffiliated men (~54%).
Some men form close friendships with women; others maintain strong same-gender ties.
Conclusion: both genders form deep and meaningful friendships; gender differences in friendship do not explain large gender gaps in academic outcomes.
Race and Ethnicity
Racial composition of friendships varies markedly:
White students: ~84% of friends are same-race.
Black students: ~76%
Latino students: ~61%
Diversity of networks:
Some students have fully homophilous networks; some have diverse networks.
Whites more likely to have diverse friendships than in some other groups, while students of color often report more race-based isolation but also rely on same-race friends for support.
Network type and race:
White students are more often compartmentalizers; black/Latino students more often tight-knitters.
Samplers exist across groups but are less common among whites.
Outcomes and support:
Networks of color, especially tight-knitters, provide social support in navigating race-based isolation.
Network type matters more for academic/social success than racial composition alone.
Definitions of friendship differ by race:
White students often describe friends as fun or cool people.
Students of color emphasize closeness and deeper connection.
Social Class
Definitions of friendship vary by class:
Lower-class students describe more multi-level closeness and purposeful friendships.
Upper-class students emphasize socializing and having fun.
Network composition by class:
Lower-class students have fewer friends from home.
Working-class status correlates with similar network sizes but different home-family composition.
Intersections:
Race/class interaction shapes friendship size and the way closeness is defined; lower-class students with people of color tend to report different patterns than privileged groups.
Overall takeaway: class influences how students experience college and define friendship, but network type often interacts with race to shape support and outcomes.
Intersections of Gender, Race, and Class
Complex patterns emerge when all three dimensions are considered.
Examples:
Latino and Black men: around 21 friends on average; Black women around 12; Latinas around 17.
Black/Latino students from lower-class backgrounds: up to ~24 friends; higher than some peers.
Bottom line: intersections shape both the size and the meaning of friendship networks and their role in academic/social life.
Other Relationships: Professors, Significant Others, and Parents
Professors:
Generally not named as friends; a few serve as mentors and provide long-term guidance (graduate school, role modeling).
Relationships with professors arise more from chance encounters than systematic mentoring.
Significant others (romantic partners):
Common and increasingly present as students progress; can provide instrumental, emotional, and intellectual support.
Benefits are mixed: partners can help academically but can also distract; women more often help partners with academics than vice versa.
Family (especially parents):
Family involvement is common; they provide financial support, encouragement, and study guidance.
First-generation students rely more on extended family (siblings, aunts/uncles, grandparents) for academic support.
For many students, family involvement fades relative to friends, who remain central in daily life.
Overall: friends are central to the college experience, while professors, significant others, and family play important but often more variable roles.
Conclusion
Friendships are a central, context-dependent element of college life, reflecting broader structural inequities by race, gender, and class.
Network type (dense vs. compartmentalized vs. sparse) more strongly relates to academic/social success than raw network size or composition alone.
Context (residential setting, campus structure, proximity) shapes how friendships form and function.
Implications: recognizing the social role of friendships can inform how educators and administrators support student success; future work should explore how friendship networks evolve after college.