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Measuring behavior change with observational studies: a review
Exploring behavioral change in the digital age is imperative for societal progress in the
context of 21st-century challenges. We analyzed 148 articles (2000-2023) and built a map …
context of 21st-century challenges. We analyzed 148 articles (2000-2023) and built a map …
Retweet prediction with attention-based deep neural network
On Twitter-like social media sites, the re-posting statuses or tweets of other users are usually
considered to be the key mechanism for spreading information. How to predict whether a …
considered to be the key mechanism for spreading information. How to predict whether a …
Twitter trends: a ranking algorithm analysis on real time data
HU Khan, S Nasir, K Nasim, D Shabbir… - Expert Systems with …, 2021 - Elsevier
Social media has recently become popular due to its vast applications. The common people
all over the world uses its diverse channels to express personal views, experiences and …
all over the world uses its diverse channels to express personal views, experiences and …
Event detection and popularity prediction in microblogging
As one of the most influential social media platforms, microblogging is becoming
increasingly popular in the last decades. Each day a large amount of events appear and …
increasingly popular in the last decades. Each day a large amount of events appear and …
Multi-class sentiment analysis in Twitter: What if classification is not the answer
With the rapid growth of online social media content, and the impact these have made on
people's behavior, many researchers have been interested in studying these media …
people's behavior, many researchers have been interested in studying these media …
Analysis of user network and correlation for community discovery based on topic-aware similarity and behavioral influence
While social computing related research has focused mostly on how to provide users with
more precise and direct information, or on recommending new search methods to find …
more precise and direct information, or on recommending new search methods to find …
Analysis of Interaction and Co‐editing Patterns amongst O pen S treet M ap Contributors
Abstract O pen S treet M ap (OSM) is a very well known and popular Volunteered
Geographic Information (VGI) project on the Internet. In J anuary 2013 OSM gained its one …
Geographic Information (VGI) project on the Internet. In J anuary 2013 OSM gained its one …
Analyzing the spread of tweets in response to Paris attacks
Twitter is a widely used social media platform that provides a rich source of geotagged posts
along with extended content information, such as hashtags or images. Since tweets are …
along with extended content information, such as hashtags or images. Since tweets are …
Social event detection with retweeting behavior correlation
Event detection over microblogs has attracted great research interest due to its wide
application in crisis management and decision making etc. In natural disasters, complex …
application in crisis management and decision making etc. In natural disasters, complex …
Learning from bees: An approach for influence maximization on viral campaigns
Maximisation of influence propagation is a key ingredient to any viral marketing or socio-
political campaigns. However, it is an NP-hard problem, and various approximate algorithms …
political campaigns. However, it is an NP-hard problem, and various approximate algorithms …