Papers by Sudhesh Solomon
Users in social networks either unicast or broadcast<br> their messages. At mention is the ... more Users in social networks either unicast or broadcast<br> their messages. At mention is the popular way of unicasting for<br> Twitter whereas general tweeting could be considered as broadcasting<br> method. Understanding the information flow and dynamics within<br> a Social Network and modeling the same is a promising and an<br> open research area called Information Diffusion. This paper seeks an<br> answer to a fundamental question - understanding if the at-mention<br> network or the unicasting pattern in social media is purely random<br> in nature or is there any user specific selectional preference? To<br> answer the question we present an empirical analysis to understand<br> the sociological aspects of Twitter mentions network within a social<br> network community. To understand the sociological behavior we<br> analyze the values (Schwartz model: Achievement, Benevolence,<br> Conformity, Hedonism, Power...
Users in social network either unicast or broadcast their messages. At mention is the popular way... more Users in social network either unicast or broadcast their messages. At mention is the popular way of unicasting for Twitter whereas, general tweeting could be considered as broadcasting method. Understanding the information flow and dynamics within a Social Network and modeling the same is a promising and an open research area called Information Diffusion. This paper seeks an answer to a fundamental question whether the at-mention or the uni-casting pattern in social media is purely random in nature or there is any user specific selectional preference? To answer the question we present an empirical analysis to understand the psychosociological aspects of Twitter mentions network within a social network community. To understand the psychological pattern we have analyzed personality (Big5 model: Openness, Conscientiousness, Extraversion, Agreeableness, Neuroticism) of users and to understand the the sociological behavior we analyze values (Schwartz model:Achievement, Benevolence, Conf...
IEEE Computational Intelligence Magazine, 2019
"Community" in social networks is a nebulous concept. A community is generally assumed to be form... more "Community" in social networks is a nebulous concept. A community is generally assumed to be formed by people who possess similar attributes or characteristics, also known as "homophily". Although there has been a lot of research on community detection based on network topology, the semantic interpretation of communities is rarely studied. The present work aims to understand the behavioural similarity of users present in their personal neighbourhood communities formed by friends, relatives, or colleagues, and addresses two fundamental questions: (i) Are communities formed by users who possess similar behavioural traits? If so, does this apply to all those sub-networks, i.e., friends, relatives, and colleagues? (ii) Does adding behavioural node-specific attributes/features to the nodes in a network lead to better community detection? To better understand the psycho-sociological homophilic nature of personal networks, the personalities and values of Twitter users were analysed using the well-established "Big-5 personality model" and "Schwartz sociological behaviour model". Empirical results based on the psycho-sociological behaviour show that friends networks exhibit homophily, whereas relatives and colleagues networks do not exhibit such homophilic behaviour. It can also be observed that neurotic people tend to behave heterogeneously with people of various personality traits. In addition, it is shown that such empirical evidence can be used as features for the tasks of community detection and link prediction.
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Papers by Sudhesh Solomon