A Network-Based Model for Predicting Hashtag Breakouts in Twitter

Date

2015-01-01

Author

Alzahrani, Sultan
Alashri, Saud
Koppela, Anvesh Reddy
Davulcu, Hasan
Toroslu, İsmail Hakkı

Metadata

Show full item record

Item Usage Stats

112
views

0
downloads

URI

http://link.springer.com/chapter/10.1007%2F978-3-319-16268-3_1
https://hdl.handle.net/11511/70989

Relation

Social Computing Behavioral Cultural Modeling and Prediction,

Collections

Department of Computer Education and Instructional Technology, Book / Book chapter

Suggestions

OpenMETU
Core

A Model for Adaptive Accessibility of Everyday Objects in Smart Cities Torre, Ilaria; Celik, Ilknur (2016-09-08) This paper proposes a model that exploits the Internet of Things in the urban environment to promote the accessibility to physical real-world objects especially to those with special needs. The approach is primarily based on connecting and sharing data about accessibility requirements and real-world environment data. The approach is also founded on annotating physical objects, and adapting the interaction with the virtual side of cyber-physical objects in order to make physical objects accessible in a smart...
A novel deep reinforcement learning algorithm for online antenna tuning Balevi, Eren; Andrews, Jeffrey G. (2019-12-01) © 2019 IEEE.The interactions between the cells, most notably due to their coupled interference and the large number of users, render the optimization of antenna parameters prohibitively complex. To cope with this problem, we propose a novel practical deep learning (DL) based reinforcement learning (RL) algorithm to jointly optimize antenna tilt angle and vertical and horizontal half-power beamwidths of the macrocells in a heterogeneous cellular network (HetNet). In the proposed algorithm, DL is used to extr...
A time-evolution model for the privacy degree of information disseminated in online social networks Othmane, Lotfi Ben; Weffers, Harold; Angın, Pelin; Bhargava, Bharat (Inderscience Publishers, 2013-01-01) People tend to share private information with their friends on online social networks (OSNs). The common position is that the shared information eventually reaches all users of the network since OSNs exhibit the small-world property. However, dissemination of private information in an OSN exhibits a set of factors that need to be accounted for in order to create more realistic models of the evolution of the privacy degree of information disseminated in an OSN. Among these factors are relationship strength b...
A Framework for gene co-expression network analysis of lung cancer Akdemir, Erhan; Can, Tolga; Aydın Son, Yeşim; Department of Bioinformatics (2013) Construction method of a gene co-expression network (GCN) is crucial in medical research aiming to reveal disease related genes. Applied similarity measure and selection of edges that represent significantly co-expressed gene pairs in the network affect directly the elements of a network and so the list of prioritized genes. Pearson correlation coefficient is a commonly used similarity measure to quantify co-expressions of genes due to its simplicity and performance compared to many complex methods. However...
A Model as a tool for determining optimal pricing policies for marble firms Doğrukartal, Esra; Çelebi, Neşe; Department of Mining Engineering (2001)

Citation Formats

S. Alzahrani, S. Alashri, A. R. Koppela, H. Davulcu, and İ. H. Toroslu, A Network-Based Model for Predicting Hashtag Breakouts in Twitter. 2015, p. 12.