Cypher: An evolving query language for property graphs
N Francis, A Green, P Guagliardo, L Libkin… - Proceedings of the …, 2018 - dl.acm.org
The Cypher property graph query language is an evolving language, originally designed
and implemented as part of the Neo4j graph database, and it is currently used by several …
and implemented as part of the Neo4j graph database, and it is currently used by several …
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 …
[HTML][HTML] Multiclass sentiment analysis on COVID-19-related tweets using deep learning models
S Vernikou, A Lyras, A Kanavos - Neural Computing and Applications, 2022 - Springer
COVID-19 is an infectious disease with its first recorded cases identified in late 2019, while
in March of 2020 it was declared as a pandemic. The outbreak of the disease has led to a …
in March of 2020 it was declared as a pandemic. The outbreak of the disease has led to a …
[HTML][HTML] Exploring clustering techniques for analyzing user engagement patterns in twitter data
Social media platforms have revolutionized information exchange and socialization in
today's world. Twitter, as one of the prominent platforms, enables users to connect with …
today's world. Twitter, as one of the prominent platforms, enables users to connect with …
Defining and evaluating Twitter influence metrics: a higher-order approach in Neo4j
Ranking account influence constitutes an important challenge in social media analysis. Until
recently, influence ranking relied solely on the structural properties of the underlying social …
recently, influence ranking relied solely on the structural properties of the underlying social …
Formal semantics of the language cypher
N Francis, A Green, P Guagliardo, L Libkin… - arXiv preprint arXiv …, 2018 - arxiv.org
Cypher is a query language for property graphs. It was originally designed and implemented
as part of the Neo4j graph database, and it is currently used in a growing number of …
as part of the Neo4j graph database, and it is currently used in a growing number of …
[PDF][PDF] Modeling Credibility in Social Big Data using LSTM Neural Networks.
Communication accounts for a vital need among people in order to express and exchange
ideas, emotions, messages, etc. Social media fulfill this necessity as users can make use of …
ideas, emotions, messages, etc. Social media fulfill this necessity as users can make use of …
Tensor fusion of social structural and functional analytics over Neo4j
G Drakopoulos - 2016 7th International Conference on …, 2016 - ieeexplore.ieee.org
For large directed graphs ranking vertices is an algorithmic as well as a computational
challenge. Also it is a cornerstone problem in fields so diverse such as online social media …
challenge. Also it is a cornerstone problem in fields so diverse such as online social media …
[PDF][PDF] Towards Predicting Mentions to Verified Twitter Accounts: Building Prediction Models over MongoDB with Keras.
Digital influence and trust are central research topics in social media analysis with a
plethora of applications ranging from social login to geolocation services and community …
plethora of applications ranging from social login to geolocation services and community …
Scalable pointer analysis of data structures using semantic models
Pointer analysis is widely used as a base for different kinds of static analyses and compiler
optimizations. Designing a scalable pointer analysis with acceptable precision for use in …
optimizations. Designing a scalable pointer analysis with acceptable precision for use in …