P
Peter A. Gloor
Researcher at Massachusetts Institute of Technology
Publications - 230
Citations - 5644
Peter A. Gloor is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Social network analysis & Social network. The author has an hindex of 37, co-authored 211 publications receiving 4918 citations. Previous affiliations of Peter A. Gloor include University of Cologne & Union Bank of Switzerland.
Papers
More filters
Journal ArticleDOI
Speeding up decision-making in project environment: The effects of decision makers' collaboration network dynamics
TL;DR: In this paper, the authors investigated the determinants of timely decision-making from the perspective of collaboration network dynamics and found that stronger previous collaboration relationships and more centralized social capital distribution in decisions groups contribute to more timely decision making.
Journal ArticleDOI
Aristotle Said “Happiness is a State of Activity” — Predicting Mood Through Body Sensing with Smartwatches
TL;DR: It is found that both Happiness and Activation are negatively correlated with heart beats and with the levels of light, and that tracking people’s geographical coordinates might play an important role in predicting Happiness andActivation.
Journal ArticleDOI
Towards “Honest Signals” of Creativity – Identifying Personality Characteristics Through Microscopic Social Network Analysis
Peter A. Gloor,Kai Fischbach,Hauke Fuehres,Casper Lassenius,Tuomas Niinimaki,Daniel Olguin Olguin,Sandy Pentland,Arttu Piri,Johannes Putzke +8 more
TL;DR: In this article, the authors combine insights from analyzing communication in an E-mail student network of a distributed course with measurements of interaction by sociometric badges for 23 programmers in Northern Europe.
Journal ArticleDOI
Measuring the impact of spammers on e-mail and Twitter networks
TL;DR: The results show that spammers do not significantly alter the structure of the information-carrying network, for most of the social indicators, after removing spammers and the most and least connected nodes.
Journal ArticleDOI
Studying Microscopic Peer-to-Peer Communication Patterns
Peter A. Gloor,Daniel Oster,Johannes Putzke,Kai Fischbach,Kai Fischbach,Detlef Schoder,Koji Ara,Taemie Kim,Robert Laubacher,Akshay Mohan,Daniel Olguin Olguin,Alex Pentland,Benjamin N. Waber +12 more
TL;DR: Social interaction among a team of employees at a bank in Germany is analyzed, and a set of interventions for more efficient collaboration is developed to identify typical meeting patterns, and to distinguish between creative and high-executing knowledge work based on the interaction pattern.