Gossip protocols have been shown to be a useful tool in the development of simple, robust, and efficient distributed systems. This thesis addresses a number of problems associated with gossip protocols, including dealing with the failure of a large fraction of the hosts in a system, accommodating the topology of the underlying network, improving the efficiency of information exchange between ho...

Understanding structural and algorithmic properties of complex networks is an important task, not least because of the huge impact of the internet. Our focus is to analyze how news spreads in social networks. We simulate a simple information spreading process in different network topologies and demonstrate that news spreads much faster in existing social network topologies. We support this find...

A rumor is commonly defined as a statement whose true value is unverifiable. Rumors may spread misinformation (false information) or disinformation (deliberately false information) on a network of people. Identifying rumors is crucial in online social media where large amounts of information are easily spread across a large network by sources with unverified authority. In this paper, we address...

We study the problem of computing a minimum time schedule to spread rumors in a given graph under several models: In the radio model, all neighbors of a transmitting node listen to the messages and are able to record it only when no other neighbor is transmitting; In the wireless model (also called the edge-star model), each transmitter is at a different frequency to which any neighbor can tune...

Rumors regarding epidemic diseases such as COVID 19, medicines and treatments, diagnostic methods public emergencies can have harmful impacts on health political, social other aspects of people’s lives, especially during emergency situations crises. With huge amounts content being posted to media every second these situations, it becomes very difficult detect fake news (rumors) that poses threa...

In everyday life, many events occur and give rise to various kinds of information, which are also rumors. Rumors can cause fear influence public opinion about the event in question. Identifying possible rumor spreaders is extremely helpful preventing spread Feature extraction be done expand feature set, consists conversational features form social networks formed from user replies, such as foll...

The growing share of financial assets that are held and managed by large institutional investors whose trades move prices contradicts the traditional asset pricing paradigm which assumes markets are competitive with small price-taking players. This paper relaxes the traditional price-taking assumption and instead presents a dynamic multi-asset, multi-large participant model of imperfect competi...