|
|
|
|
|
Jai Prakash Verma, Shir Bhargav, Madhuri Bhavsar, Pronaya Bhattacharya, Ali Bostani, Subrata Chowdhury, Julian Webber and Abolfazl Mehbodniya
The recent advancements in big data and natural language processing (NLP) have necessitated proficient text mining (TM) schemes that can interpret and analyze voluminous textual data. Text summarization (TS) acts as an essential pillar within recommendat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhihui Du, Oliver Alvarado Rodriguez, Joseph Patchett and David A. Bader
Data from emerging applications, such as cybersecurity and social networking, can be abstracted as graphs whose edges are updated sequentially in the form of a stream. The challenging problem of interactive graph stream analytics is the quick response of...
ver más
|
|
|
|
|
|
|
|
|
|
|
Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci and Eli Upfal
We present an algorithm for approximating the diameter of massive weighted undirected graphs on distributed platforms supporting a MapReduce-like abstraction. In order to be efficient in terms of both time and space, our algorithm is based on a decomposi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Badredine Boulmakoul, Zineb Besri, Lamia Karim, Azedine Boulmakoul, Ahmed Lbath
Pág. 1154 - 1162
Spatial structural analytics have increased importance in recent years as a helpful tool for decision making as well as public operators? commitment in integrated transport planning and land use. Analysis of complex systems remains the domain of excellen...
ver más
|
|
|
|
|
|
|
|
|
|
|
Peng Mi, Maoyuan Sun, Moeti Masiane, Yong Cao and Chris North
Sensemaking of large graphs, specifically those with millions of nodes, is a crucial task in many fields. Automatic graph layout algorithms, augmented with real-time human-in-the-loop interaction, can potentially support sensemaking of large graphs. Howe...
ver más
|
|
|
|
|
|
|
|
|
|
|
Andreas Kanavos, Ioannis Karamitsos and Alaa Mohasseb
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 others and express their opinions. This study focuses on analyzing user engageme...
ver más
|
|
|
|
|
|
|
|
|
|
|
Santiago Timón-Reina, Mariano Rincón, Rafael Martínez-Tomás, Bjørn-Eivind Kirsebom and Tormod Fladby
Applying knowledge graphs, graph analytics, and graph machine learning for integrating multi-modal dementia research data.
|
|
|
|
|
|
|
|
|
|
|
Björn Zimmer, Magnus Sahlgren and Andreas Kerren
The visual exploration of large and complex network structures remains a challenge for many application fields. Moreover, a growing number of real-world networks is multivariate and often interconnected with each other. Entities in a network may have rel...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yaniv Mordecai, James P. Fairbanks and Edward F. Crawley
This paper introduces a holistic framework, underpinned by Category Theory, for the process of conceptual modeling of complex engineered systems, generically representing the models as graph data structures, rendering stakeholder-informing views like mat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wenwen Li, Sizhe Wang, Xiao Chen, Yuanyuan Tian, Zhining Gu, Anna Lopez-Carr, Andrew Schroeder, Kitty Currier, Mark Schildhauer and Rui Zhu
The past decade has witnessed an increasing frequency and intensity of disasters, from extreme weather, drought, and wildfires to hurricanes, floods, and wars. Providing timely disaster response and humanitarian aid to these events is a critical topic fo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mohammad Daradkeh
The heterogeneity and diversity of users and external knowledge resources is a hallmark of open innovation communities (OICs). Although user segmentation in heterogeneous OICs is a prominent and recurring issue, it has received limited attention in open ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Claudia Cavallaro and Jordi Vitrià
Given the widespread use of mobile devices that track their geographical location, it has become increasingly easy to acquire information related to users? trips in real time. This availability has triggered several studies based on user?s position, such...
ver más
|
|
|
|
|
|
|
|
|
|
|
Olivera Novovic, Sanja Brdar, Minucer Mesaro?, Vladimir Crnojevic and Apostolos N. Papadopoulos
CDR (Call Detail Record) data are one type of mobile phone data collected by operators each time a user initiates/receives a phone call or sends/receives an sms. CDR data are a rich geo-referenced source of user behaviour information. In this work, we pe...
ver más
|
|
|
|
|
|