Data for: Emergence of Diverse and Specialized Knowledge in a Metropolitan Tech Cluster

Code and data for analyzing New York Tech Meetup email networks

Meetup groups with the most and least common topics across the years they were active.

Meetup groups with the most and least common topics across the years they were active.</p

Trends over time along four dimensions of specialization.

The distributions of (a) focus, (b) rarity, (c) novelty, and (d) technical exclusivity over time suggest that each measure captures a different dimension of specialization. Meetup groups trend towards associating with rarer topics, and the introduction of new topics declines over time.</p

Linear model of group performance predicted by topic focus.

Coefficient estimates of cross-sectional linear regression models for predicting a group’s size, growth, audience retention, and survival, using a group’s topic focus score as the lone predictor.</p

Cross-sectional linear regression model of group performance predicted by multiple dimensions of specialization.

The table reports coefficient estimates for predicting a group’s size, growth retention, and survival using a group’s topic focus, rarity, novelty and technical exclusivity scores.</p

Meetup groups with the most and least technical topics.

Meetup groups with the most and least technical topics.</p

Pairwise correlations among four measures of specialization in the topic profiles of Meetup groups.

Focus, rarity and novelty are positively correlated with one another but the pairwise correlations are relatively small. Tehnical exclusivity is negatively correlated with rarity and novelty.</p

Technical appendix that discusses alternative specifications of focus and robustness check of the Cox proportional hazards assumption for survival models.

Technical appendix that discusses alternative specifications of focus and robustness check of the Cox proportional hazards assumption for survival models.</p

CSV file with researcher categorization of Meetup topic labels into distinct topic groups.

The file contains 2 columns where ‘Topic’ lists all individual Meetup topic labels that were observed in the data, and ‘Topic Group Identifier’ lists the corresponding ID of the topic group. Topics that are classified as belonging to the same topic group share the same ID. (CSV)</p

RData file with data frames all analyses.

Curated data frame for components of the focus score calculation named focustfidf. Curated data frame for main regressions named groupstatic. Curated data frame for survival analysis named survdata in the data file. (ZIP)</p