Geotemporal Querying of Social Networks and Summarization

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10362567" target="_blank" >RIV/00216208:11320/18:10362567 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1007/978-1-4939-7131-2_110156" target="_blank" >https://doi.org/10.1007/978-1-4939-7131-2_110156</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-1-4939-7131-2_110156" target="_blank" >10.1007/978-1-4939-7131-2_110156</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Geotemporal Querying of Social Networks and Summarization

Popis výsledku v původním jazyce

Social network querying means submitting requests for information to a social network API in order to retrieve posts satisfying some user needs expressed in the query. Geotemporal summarization of the retrieved posts is aimed at identifying geographic regions and/or time intervals in which/when many posts have been created. The assumption is that many posts created in the same region in close period of time are an indication of the occurrence of an event. Thus, the task of geotemporal summarization is the identification of either known or unpredicted events occurred in specific regions at specific time.

Název v anglickém jazyce

Geotemporal Querying of Social Networks and Summarization

Popis výsledku anglicky

Social network querying means submitting requests for information to a social network API in order to retrieve posts satisfying some user needs expressed in the query. Geotemporal summarization of the retrieved posts is aimed at identifying geographic regions and/or time intervals in which/when many posts have been created. The assumption is that many posts created in the same region in close period of time are an indication of the occurrence of an event. Thus, the task of geotemporal summarization is the identification of either known or unpredicted events occurred in specific regions at specific time.

Druh

C - Kapitola v odborné knize

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

Encyclopedia of Social Network Analysis and Mining

ISBN

978-1-4939-7130-5

Počet stran výsledku

9

Strana od-do

920-928

Počet stran knihy

3431

Název nakladatele

Springer New York

Místo vydání

New York, NY

Kód UT WoS kapitoly

—