254 citations · 553 across the 19 of their papers we have counts for
19 papers
The Annotation Bottleneck in Persian Text NLP: Persian as an Annotation-Scarce Language
MohammadHossein Mortazavi, Mostafa Salehi, Hadi Veisi
Persian (Farsi) is often described as a low-resource language in natural language processing, but that label collapses distinct shortages into a single category. This paper argues…
A Meta Path-based Approach for Rumor Detection on Social Media
Bita Azarijoo, Mostafa Salehi, Shaghayegh Najari
The prominent role of social media in people's daily lives has made them more inclined to receive news through social networks than traditional sources. This shift in public behavi…
Transfer Learning for Multi-lingual Tasks -- a Survey
Amir Reza Jafari, Behnam Heidary, Reza Farahbakhsh +2
These days different platforms such as social media provide their clients from different backgrounds and languages the possibility to connect and exchange information. It is not su…
TeleCrowd: A Crowdsourcing Approach to Create Informal to Formal Text Corpora
Vahid Masoumi, Mostafa Salehi, Hadi Veisi +3
Crowdsourcing has been widely used recently as an alternative to traditional annotations that is costly and usually done by experts. However, crowdsourcing tasks are not interestin…
Convolutional Neural Networks for Sentiment Analysis in Persian Social Media
Morteza Rohanian, Mostafa Salehi, Ali Darzi +1
With the social media engagement on the rise, the resulting data can be used as a rich resource for analyzing and understanding different phenomena around us. A sentiment analysis…
Providing a Link Prediction Model based on Structural and Homophily Similarity in Social Networks
Alireza Eshaghpour, Mostafa Salehi, Vahid Ranjbar
In recent years, with the growing number of online social networks, these networks have become one of the best markets for advertising and commerce, so studying these networks is v…
Link Prediction in Multiplex Networks based on Interlayer Similarity
Shaghayegh Najari, Mostafa Salehi, Vahid Ranjbar +1
Some networked systems can be better modelled by multilayer structure where the individual nodes develop relationships in multiple layers. Multilayer networks with similar nodes ac…
HRSON: Home-based Routing for Smartphones in Opportunistic Networks
Hooman Abasi, Mostafa Salehi, Vahid Ranjbar
Opportunistic networks are delay-tolerant networks which enable network connectivity while there is limited access to network infrastructure, such as natural disaster happenings. S…
QANet: Tensor Decomposition Approach for Query-based Anomaly Detection in Heterogeneous Information Networks
Vahid Ranjbar, Mostafa Salehi, Pegah Jandaghi +1
Complex networks have now become integral parts of modern information infrastructures. This paper proposes a user-centric method for detecting anomalies in heterogeneous informatio…
NetSpam: a Network-based Spam Detection Framework for Reviews in Online Social Media
Saeedreza Shehnepoor, Mostafa Salehi, Reza Farahbakhsh +1
Nowadays, a big part of people rely on available content in social media in their decisions (e.g. reviews and feedback on a topic or product). The possibility that anybody can leav…
A simple multiforce layout for multiplex networks
Zahra Fatemi, Mostafa Salehi, Matteo Magnani
We introduce multiforce, a force-directed layout for multiplex networks, where the nodes of the network are organized into multiple layers and both in-layer and inter-layer relatio…
Multidimensional epidemic thresholds in diffusion processes over interdependent networks
Mostafa Salehi, Payam Siyari, Matteo Magnani +1
Several systems can be modeled as sets of interdependent networks where each network contains distinct nodes. Diffusion processes like the spreading of a disease or the propagation…
Diffusion of Innovations over Multiplex Social Networks
Rasoul Ramezanian, Mostafa Salehi, Matteo Magnani +1
The ways in which an innovation (e.g., new behaviour, idea, technology, product) diffuses among people can determine its success or failure. In this paper, we address the problem o…
Diffusion-Aware Sampling and Estimation in Information Diffusion Networks
Motahareh Eslami Mehdiabadi, Hamid R. Rabiee, Mostafa Salehi
Partially-observed data collected by sampling methods is often being studied to obtain the characteristics of information diffusion networks. However, these methods usually do not…
Sampling from Diffusion Networks
Motahareh Eslami Mehdiabadi, Hamid R. Rabiee, Mostafa Salehi
The diffusion phenomenon has a remarkable impact on Online Social Networks (OSNs). Gathering diffusion data over these large networks encounters many challenges which can be allevi…
A Measurement Framework for Directed Networks
Mostafa Salehi, Hamid R. Rabiee
Partially-observed network data collected by link-tracing based sampling methods is often being studied to obtain the characteristics of a large complex network. However, little at…
Spreading processes in Multilayer Networks
Mostafa Salehi, Rajesh Sharma, Moreno Marzolla +3
Several systems can be modeled as sets of interconnected networks or networks with multiple types of connections, here generally called multilayer networks. Spreading processes suc…
Social Bootstrapping: How Pinterest and Last.fm Social Communities Benefit by Borrowing Links from Facebook
Changtao Zhong, Mostafa Salehi, Sunil Shah +3
How does one develop a new online community that is highly engaging to each user and promotes social interaction? A number of websites offer friend-finding features that help users…
Incorporating Betweenness Centrality in Compressive Sensing for Congestion Detection
Hoda S. Ayatollahi Tabatabaii, Hamid R. Rabiee, Mohammad Hossein Rohban +1
This paper presents a new Compressive Sensing (CS) scheme for detecting network congested links. We focus on decreasing the required number of measurements to detect all congested…