Node-centric community discovery: From static to dynamic social network analysis
Nowadays, online social networks represent privileged playgrounds that enable researchers
to study, characterize and understand complex human behaviors. Social Network Analysis …
to study, characterize and understand complex human behaviors. Social Network Analysis …
[HTML][HTML] Influence propagation in social networks: Interest-based community ranking model
The driving force behind content dissemination in Social network (SN) is the users' interest
in the content, which is strongly reflected in their interactions. Obviously, user interest varies …
in the content, which is strongly reflected in their interactions. Obviously, user interest varies …
ANGEL: efficient, and effective, node-centric community discovery in static and dynamic networks
G Rossetti - Applied Network Science, 2020 - Springer
Community discovery is one of the most challenging tasks in social network analysis. During
the last decades, several algorithms have been proposed with the aim of identifying …
the last decades, several algorithms have been proposed with the aim of identifying …
The impact of digital nudging techniques on the formation of self-assembled crowd project teams
Self-assembling team formation systems, where online users can select their teammates,
are gaining research and industry interest. Still, the benefits of diversity remain frequently …
are gaining research and industry interest. Still, the benefits of diversity remain frequently …
How data mining and machine learning evolved from relational data base to data science
During the last 35 years, data management principles such as physical and logical
independence, declarative querying and cost-based optimization have led to profound …
independence, declarative querying and cost-based optimization have led to profound …
Learning task-specific city region partition
The proliferation of publicly accessible urban data provide new insights on various urban
tasks. A frequently used approach is to treat each region as a data sample and build a …
tasks. A frequently used approach is to treat each region as a data sample and build a …
Influence propagation in social networks:: Interest-based community ranking model
The driving force behind content dissemination in Social network (SN) is the users' interest
in the content, which is strongly reflected in their interactions. Obviously, user interest varies …
in the content, which is strongly reflected in their interactions. Obviously, user interest varies …
Relational data mining in the era of big data
The aim of this article is to synthetically describe a sample of distinct approaches and
applications of Relational Data Mining, which address the issue of managing complex, and …
applications of Relational Data Mining, which address the issue of managing complex, and …
[PDF][PDF] Detection of Political Intent Through Analysis of Tweets and Homophily Elements
Twitter is one of the most popular social networking platforms of today's generation and is a
fundamental tool in harvesting the data of many users worldwide. Many discussions ranging …
fundamental tool in harvesting the data of many users worldwide. Many discussions ranging …