2005a) Exploring Sociocentric and Egocentric Approaches for Social Network

2005a) Exploring Sociocentric and Egocentric Approaches for Social Network (0)

by K S K Chung, L Hossain, J Davis

Venue:

Asia Pacific, Victoria University Wellington, New Zealand

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On the Use of Correlated Binary Model in Social Network Analysis

by Elsayed A. Habib Elamir

"... Abstract—In social network analysis the mean nodal degree and density of the graph can be considered as a measure of the activity of all actors in the network and this is an important property of a graph and for making comparisons among networks. Since subjects in a family or organization are subjec ..."

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Abstract—In social network analysis the mean nodal degree and density of the graph can be considered as a measure of the activity of all actors in the network and this is an important property of a graph and for making comparisons among networks. Since subjects in a family or organization are subject to common environment factors, it is prime interest to study the association between responses. Therefore, we study the distribution of the mean nodal degree and density of the graph under correlated binary units. The cross product ratio is used to capture the intra-units association among subjects. Computer program and an application are given to show the benefits of the method. Keywords—Correlated Binary data, cross product ratio, density of the graph, multiplicative binomial distribution. I.

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by Amrita Sahu

"... Impact of quality of support on recovery of Bypass surgery patients A person living in a society is surrounded by people who form a network. It is this social network from where individuals draw and look for their social support at the time of crisis. Scholars across the world have shown a close ass ..."

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Impact of quality of support on recovery of Bypass surgery patients A person living in a society is surrounded by people who form a network. It is this social network from where individuals draw and look for their social support at the time of crisis. Scholars across the world have shown a close association between quality (degree and density) of support network and recovery of sick. However literatures available in India relating quality of support network and its association with people who have undergone bypass surgery seems to be lacking. This prompted to explore the field and depict the association of quality of support network with recover as perceived by patients themselves. Data were collected from men who have undergone bypass surgery 1 month prior to data collection; first month being the recovery period and support system is presumed to be active during post operative duration 2-4 months. Interview schedule was used for interviewing patients. Data collected were analysed with the help of SPSS 20. The graphs shows the exact degree and density required by a person to recover faster and correlations of degree and density with recovery shows significance of p<0.001. From this it can be concluded that it is possible to let people who are about to undergo these treatments to understand how many people should be involved and roles can be assigned to them as support givers.

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The Role of Multimedia Content in Determining the Virality of Social Media Information

by Leonardo Bruni, Chiara Francalanci, Paolo Giacomazzi , 2012

"... information ..."

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information

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NETWORK STRUCTURE, ICT USE AND PERFORMANCE ATTITUDES OF KNOWLEDGE WORKERS

by Chung Kon Shing Kenneth

"... In this study, we examine the effect of social network structure and information and communication technologies (ICT) use on performance attitudes of knowledge-intensive workers in dispersed occupational communities. We first develop a theoretical framework and use it to develop a valid and reliable ..."

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In this study, we examine the effect of social network structure and information and communication technologies (ICT) use on performance attitudes of knowledge-intensive workers in dispersed occupational communities. We first develop a theoretical framework and use it to develop a valid and reliable survey instrument. Secondly, we apply structural hole measures (constraint and efficiency) for exploring the association with ICT use and attitudes to performance. Empirical results suggest that density of knowledge workers ’ professional network is positively associated with ICT use whereas network efficiency is negatively correlated with ICT use at both task and communication-structure level. The findings show that social network structure measures of density, efficiency and constraint are important factors that influence patterns and frequency of ICT use by knowledge workers rather than attitudes to performance.

CSIRO Information and Communications Technologies Centre

by Mahendra Piraveenan, Albert Y. Zomaya

"... Abstract. Many distributed systems lend themselves to be modelled as net-works, where nodes can have a range of attributes and properties based on which they may be classified. In this paper, we attempt the task of quantify-ing varying levels of similarity among nodes in a complex network over a per ..."

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Abstract. Many distributed systems lend themselves to be modelled as net-works, where nodes can have a range of attributes and properties based on which they may be classified. In this paper, we attempt the task of quantify-ing varying levels of similarity among nodes in a complex network over a period of time. We analyze how this similarity varies as nodes implement their func-tional logic and node states vary accordingly. We then use information theory to analyze how much Shannon information is conveyed by such a similarity measure, and how such information varies with time. We also propose node congruity as a measure to quantify the contribution of each node to the net-work’s scalar assortativity. Finally, focussing on networks with binary states, we present algorithms (logic functions) which can be implemented in nodes to maximize or minimize scalar assortativity in a given network, and analyze the corresponding tendencies in information content.

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