—The “wisdom of the crowds” is a concept used to describe the utility of harnessing group behaviour, where user opinion evolves over time and the opinion of the masses collec...
—This paper presents a novel methodology for social network discovery based on the sensitivity coefficients of importance metrics, namely the Markov centrality of a node, a metr...
With few exceptions, statistical analysis of social networks is currently focused on cross-sectional or panel data. On the other hand, automated collection of network-data often p...
—Preventing adversaries from compiling significant amounts of user data is a major challenge for social network operators. We examine the difficulty of collecting profile and ...
A user profile on an online social network is characterized by its profile entries (keywords). In this paper, we study the relationship between semantic similarity of user keywo...
The increased online presence of jihadists has raised the possibility of individuals being radicalised via the Internet. To date, the study of violent radicalisation has focused o...
Adam Bermingham, Maura Conway, Lisa McInerney, Nei...
As the weight of online social networks (OSNs) which provide powerful means of sharing common interests and communicating has gradually grown up, influencers are also given the gr...
A market basket is a set of products that form a single retail transaction. This purchase data of products can shed important light on how product(s) might influence sales of oth...
—We envision new communication paradigms, using physical dynamic interconnectedness among people. Delay Tolerant Networks (DTNs) are a new communication paradigm to support such ...
—We study information diffusion in real-life and synthetic dynamic networks, using well known threshold and cascade models of diffusion. Our test-bed is the communication network...
Konstantin Mertsalov, Malik Magdon-Ismail, Mark K....