—To help users better understand the potential risks associated with publishing data publicly, as well as the quantity and sensitivity of information that can be obtained by comb...
Lisa Singh, Grace Hui Yang, Micah Sherr, Andrew Hi...
Abstract—Sentiment Analysis is a technique to identify people’s opinion, attitude, sentiment, and emotion towards any specific target such as individuals, events, topics, prod...
Santosh Kumar Bharti, Korra Sathya Babu, Sanjay Ku...
—This paper identifies and evaluates key factors that influence credibility perception in microblogs. Specifically, we report on a demographic survey (N=81) followed by a user...
—The question that whether Twitter data can be leveraged to forecast outcome of the elections has always been of great anticipation in the research community. Existing research f...
Nima Dokoohaki, Filippia Zikou, Daniel Gillblad, M...
—Lurkers are silent members of a social network (SN) who gain benefit from others’ information without significantly giving back to the community. The study of lurking behavi...
Roberto Interdonato, Chiara Pulice, Andrea Tagarel...
—Interactions in dynamic networks often transcend the dyadic barrier and emerge as subgraphs. The evolution of these subgraphs cannot be completely predicted using a pairwise lin...
—User social networks are a useful information for many information access related tasks, such as recommendation or information retrieval. In such tasks, recent papers have explo...
—One of the most relevant characteristics of social networks is community structure, in which network nodes are joined together in densely connected groups between which there ar...
Hamidreza Mahyar, Hamid R. Rabiee, Ali Movaghar, E...
—Traditional approaches to user engagement analysis focus on individual users. In this paper we address user engagement analysis at the level of groups of users (social communiti...