Constarium
← Search

Data · dataset · 2022

Data from: Performance of social network sensors during Hurricane Sandy

Listed in e-cienciaDatos

Information flow during catastrophic events is a critical aspect of disaster management.

Description

Modern communication platforms, in particular online social networks, provide an opportunity to study such flow and derive early-warning sensors, thus improving emergency preparedness and response. Performance of the social networks sensor method, based on topological and behavioral properties derived from the "friendship paradox", is studied here for over 50 million Twitter messages posted before, during, and after Hurricane Sandy.

We find that differences in users network centrality effectively translate into moderate awareness advantage (up to 26 hours); and that geo-location of users within or outside of the hurricane-affected area plays a significant role in determining the scale of such an advantage. Emotional response appears to be universal regardless of the position in the network topology, and displays characteristic, easily detectable patterns, opening a possibility to implement a simple "sentiment sensing" technique that can detect and locate disasters. | Tweets database, part 1 of 5 Postgres database of tweets (backup created by pg_dump in pgAdmin).

Read the rest (10 more)

Partitioned into 5 smaller files with split command. To assemble use "cat rawdata[1-5] > combined_rawdata.backup" rawdata1 Tweets database, part 2 of 5 Postgres database of tweets (backup created by pg_dump in pgAdmin). Partitioned into 5 smaller files with split command.

To assemble use "cat rawdata[1-5] > combined_rawdata.backup" rawdata2 Tweets database, part 3 of 5 Postgres database of tweets (backup created by pg_dump in pgAdmin). Partitioned into 5 smaller files with split command. To assemble use "cat rawdata[1-5] > combined_rawdata.backup" rawdata3 Tweets database, part 4 of 5 Postgres database of tweets (backup created by pg_dump in pgAdmin).

Partitioned into 5 smaller files with split command. To assemble use "cat rawdata[1-5] > combined_rawdata.backup" rawdata4 Tweets database, part 5 of 5. Postgres database of tweets (backup created by pg_dump in pgAdmin).

Partitioned into 5 smaller files with split command. To assemble use "cat rawdata[1-5] > combined_rawdata.backup" rawdata5 Followees database, part 1 of 9 Postgres database of followees (backup created by pg_dump in pgAdmin). Partitioned into 9 smaller files with split command.

To assemble use "cat followees[1-9] > combined_followees.backup" followees1 Followees database, part 2 of 9 Postgres database of followees (backup created by pg_dump in pgAdmin). Partitioned into 9 smaller files with split command. To assemble use "cat followees[1-9] > combined_followees.backup" followees2 Followees database, part 3 of 9 Postgres database of followees (backup created by pg_dump in pgAdmin).

Partitioned into 9 smaller files with split command. To assemble use "cat followees[1-9] > combined_followees.backup" followees3 Followees database, part 4 of 9 Postgres database of followees (backup created by pg_dump in pgAdmin). Partitioned into 9 smaller files with split command.

To assemble use "cat followees[1-9] > combined_followees.backup" followees4 Followees database, part 5 of 9 Postgres database of followees (backup created by pg_dump in pgAdmin). Partitioned into 9 smaller files with split command. To assemble use "cat followees[1-9] > combined_followees.backup" followees5 Followees database, part 6 of 9 Postgres database of followees (backup created by pg_dump in pgAdmin).

Partitioned into 9 smaller files with split command. To assemble use "cat followees[1-9] > combined_followees.backup" followees6 Followees database, part 7 of 9 Postgres database of followees (backup created by pg_dump in pgAdmin). Partitioned into 9 smaller files with split command.

To assemble use "cat followees[1-9] > combined_followees.backup" followees7 Followees database, part 8 of 9 Postgres database of followees (backup created by pg_dump in pgAdmin). Partitioned into 9 smaller files with split command. To assemble use "cat followees[1-9] > combined_followees.backup" followees8 Followees database, part 9 of 9 Postgres database of followees (backup created by pg_dump in pgAdmin).

Partitioned into 9 smaller files with split command. To assemble use "cat followees[1-9] > combined_followees.backup" followees9 Data structure and instructions Contains data description and instructions to recombine database backup and restore data tables

Links

Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 6 field assertions
SourceKeyLast seenRaw
e-cienciaDatosdoi:10.5061/DRYAD.15FV29 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:field:350703mapping · edatos consorciomadrono esvocabulary-mapper@1.0.0keywords['disaster management']
created_datesource · edatos consorciomadrono esconnector:edatos_consorciomadrono_es@1.0.0
descriptionsource · edatos consorciomadrono esconnector:edatos_consorciomadrono_es@1.0.0/description
publication_datesource · edatos consorciomadrono esconnector:edatos_consorciomadrono_es@1.0.0
titlesource · edatos consorciomadrono esconnector:edatos_consorciomadrono_es@1.0.0/name
updated_datesource · edatos consorciomadrono esconnector:edatos_consorciomadrono_es@1.0.0