Pdf Twitter And Disasters A Social Resilience Fingerprint

Pdf Twitter And Disasters A Social Resilience Fingerprint Twitter data from 14 events are analyzed and their resulting resilience fingerprints computed.we compare the fingerprints between events and show that major disasters such as hurricanes and. It is shown that major disasters such as hurricanes and earthquakes have a unique resilience fingerprint which is consistent between different events of the same type and specifically, hurricanes have a distinct fingerprint which differentiates them from other major events. understanding the resilience of a community facing a crisis event is critical to improving its adaptive capacity.

Pdf Digital Social Resilience Navigating In The New Normal Rachunok et al.: twitter and disasters: a social resilience fingerprint of a community are detectable. in this paper, we leverage this bottom up information to develop a multi dimensional social resilience fingerprint which analytically captures the interactions within pillars of community resilience during a disruption. Understanding the resilience of a community facing a crisis event is critical to improving its adaptive capacity. community resilience has been conceptualized as a function of the resilience of components of a community such as ecological, infrastructure, economic, and social systems, etc. in this paper, we introduce the concept of a “resilience fingerprint” and propose a multi dimensional. Rachunok and a team of researchers at purdue developed an algorithm that captures individuals' responses to a particular crisis via their tweets, creating what he calls a "fingerprint" that researchers and policymakers could use to better quantify what the community thinks about that crisis. "the algorithm would be a useful tool for informing. Twitter data from 14 events are analyzed and their resulting resilience fingerprints computed. the paper compares the fingerprints between events and shows that major disasters such as hurricanes and earthquakes have a unique resilience fingerprint which is consistent between different events of the same type.