Measuring objective and subjective well-being: dimensions and data sources
Well-being is an important value for people's lives, and it could be considered as an index of
societal progress. Researchers have suggested two main approaches for the overall …
societal progress. Researchers have suggested two main approaches for the overall …
Internet of Things (IoT), mobile cloud, cloudlet, mobile IoT, IoT cloud, fog, mobile edge, and edge emerging computing paradigms: Disambiguation and research …
H Elazhary - Journal of network and computer applications, 2019 - Elsevier
Currently, we are experiencing a technological shift, which is expected to change the way
we program and interact with the world. Cloud computing and mobile computing are two …
we program and interact with the world. Cloud computing and mobile computing are two …
Social media for intelligent public information and warning in disasters: An interdisciplinary review
Social media offers participatory and collaborative structure and collective knowledge
building capacity to the public information and warning approaches. Therefore, the author …
building capacity to the public information and warning approaches. Therefore, the author …
The paradigm-shift of social spambots: Evidence, theories, and tools for the arms race
Recent studies in social media spam and automation provide anecdotal argumentation of
the rise of a new generation of spambots, so-called social spambots. Here, for the first time …
the rise of a new generation of spambots, so-called social spambots. Here, for the first time …
Rtbust: Exploiting temporal patterns for botnet detection on twitter
Within OSNs, many of our supposedly online friends may instead be fake accounts called
social bots, part of large groups that purposely re-share targeted content. Here, we study …
social bots, part of large groups that purposely re-share targeted content. Here, we study …
Social fingerprinting: detection of spambot groups through DNA-inspired behavioral modeling
Spambot detection in online social networks is a long-lasting challenge involving the study
and design of detection techniques capable of efficiently identifying ever-evolving …
and design of detection techniques capable of efficiently identifying ever-evolving …
Human migration: The big data perspective
How can big data help to understand the migration phenomenon? In this paper, we try to
answer this question through an analysis of various phases of migration, comparing …
answer this question through an analysis of various phases of migration, comparing …
Task allocation in spatial crowdsourcing: Current state and future directions
Spatial crowdsourcing (SC) is an emerging paradigm of crowdsourcing, which commits
workers to move to some particular locations to perform spatio-temporal-relevant tasks (eg …
workers to move to some particular locations to perform spatio-temporal-relevant tasks (eg …
Crime and its fear in social media
Social media posts incorporate real-time information that has, elsewhere, been exploited to
predict social trends. This paper considers whether such information can be useful in …
predict social trends. This paper considers whether such information can be useful in …
CrisMap: a big data crisis mapping system based on damage detection and geoparsing
Natural disasters, as well as human-made disasters, can have a deep impact on wide
geographic areas, and emergency responders can benefit from the early estimation of …
geographic areas, and emergency responders can benefit from the early estimation of …