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Data-driven computational social science: A survey
Social science concerns issues on individuals, relationships, and the whole society. The
complexity of research topics in social science makes it the amalgamation of multiple …
complexity of research topics in social science makes it the amalgamation of multiple …
Identifying Top-k Nodes in Social Networks: A Survey
Top-k nodes are the important actors for a subjectively determined topic in a social network.
To some extent, a topic is taken as a ranking criteria for identifying top-k nodes. Within a viral …
To some extent, a topic is taken as a ranking criteria for identifying top-k nodes. Within a viral …
From purchasing exposure to fostering engagement: Brand–consumer experiences in the emerging computational advertising landscape
Over the past 40 years, we have witnessed seismic shifts in advertising planning and buying
processes. Due in no small part to the emergence of digital media, consumer choices have …
processes. Due in no small part to the emergence of digital media, consumer choices have …
A survey of big data dimensions vs social networks analysis
The pervasive diffusion of Social Networks (SN) produced an unprecedented amount of
heterogeneous data. Thus, traditional approaches quickly became unpractical for real life …
heterogeneous data. Thus, traditional approaches quickly became unpractical for real life …
Information granulation-based community detection for social networks
Online social networks (OSNs) have become so popular that it has changed the Internet to a
more collaborative environment. Now, a third of the world's population participates in OSNs …
more collaborative environment. Now, a third of the world's population participates in OSNs …
Influence maximization in large social networks: Heuristics, models and parameters
Online social networks play a major role not only in socio psychological front, but also in the
economic aspect. The way social network serves as a platform of information spread, has …
economic aspect. The way social network serves as a platform of information spread, has …
The Human Brand: A systematic literature review and research agenda
The purpose of this article is to provide an in-depth overview of the scientific literature
pertaining to the Human Brand (HB) and to highlight research opportunities based on trends …
pertaining to the Human Brand (HB) and to highlight research opportunities based on trends …
Modeling influence with semantics in social networks: A survey
The discovery of influential entities in all kinds of networks (eg, social, digital, or computer)
has always been an important field of study. In recent years, Online Social Networks (OSNs) …
has always been an important field of study. In recent years, Online Social Networks (OSNs) …
SNEFL: Social network explicit fuzzy like dataset and its application for Incel detection
In this paper, with respect to reviewing and comparing existing social networks' datasets, we
introduce SNEFL dataset: the first social network dataset that includes the level of users' …
introduce SNEFL dataset: the first social network dataset that includes the level of users' …
An efficient two-phase model for computing influential nodes in social networks using social actions
The measurement of influence in social networks has received a lot of attention in the data
mining community. Influence maximization refers to the process of finding influential users …
mining community. Influence maximization refers to the process of finding influential users …