7 papers
Mining the online infosphere: A survey
Sayantan Adak, Souvic Chakraborty, Paramtia Das +7
The evolution of AI-based system and applications had pervaded everyday life to make decisions that have momentous impact on individuals and society. With the staggering growth of…
NwQM: A neural quality assessment framework for Wikipedia
Bhanu Prakash Reddy, Sasi Bhusan, Soumya Sarkar +1
Millions of people irrespective of socioeconomic and demographic backgrounds, depend on Wikipedia articles everyday for keeping themselves informed regarding popular as well as obs…
StRE: Self Attentive Edit Quality Prediction in Wikipedia
Soumya Sarkar, Bhanu Prakash Reddy, Sandipan Sikdar +1
Wikipedia can easily be justified as a behemoth, considering the sheer volume of content that is added or removed every minute to its several projects. This creates an immense scop…
On Rich Clubs of Path-Based Centralities in Networks
Soumya Sarkar, Animesh Mukherjee, Sanjukta Bhowmick
Many scale-free networks exhibit a rich club structure, where high degree vertices form tightly interconnected subgraphs. In this paper, we explore the emergence of rich clubs in t…
Core2Vec: A core-preserving feature learning framework for networks
Soumya Sarkar, Aditya Bhagwat, Animesh Mukherjee
Recent advances in the field of network representation learning are mostly attributed to the application of the skip-gram model in the context of graphs. State-of-the-art analogues…
Using Core-Periphery Structure to Predict High Centrality Nodes in Time-Varying Networks
Soumya Sarkar, Sandipan Sikdar, Animesh Mukherjee +1
Vertices with high betweenness and closeness centrality represent influential entities in a network. An important problem for time varying networks is to know a-priori, using minim…