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Community identification based on clustering coefficient
2011 6th International ICST Conference on Communications and Networking in China (CHINACOM), 2011Researches show that numerous complex networks have clustering effect. It is an indispensable step to identify node clusters in network, namely community, in which nodes are closely related, in many applications such as identification of ringleaders in anti-criminal and anti-terrorist network, efficient storage of data in Wireless Sensor Network (WSN).
Jinbo Bai, Hongbo Li, Yan Chu 0001
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Indian Identification and Alienation in an Urban Community
Psychological Reports, 1994Studies of alienation among Native Americans have been few. Reliance on sociological and psychological themes is commonplace in explaining Native Americans' alienation. This project was designed to explore the relationship between alienation and Native Americans' identification (26 men, 27 women) in an urban setting. Analysis generated correlations for
G H, Grandbois, D, Schadt
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LOCAL COMMUNITY IDENTIFICATION IN SOCIAL NETWORKS
Parallel Processing Letters, 2012In social networks, the detection of communities has gained considerable interest because it can be used for instance for visualization, recommendation in business applications or the analysis of the spread of infectious diseases. Many methods proposed in the literature for the solution of this problem, assume that the structure of the entire network ...
Blaise Ngonmang +2 more
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Dynamic Community Identification
2010Humans and other social animals interact in diverse ways. A central problem in the study of societies is identifying core communities: sets of entities among whom interactions are frequent and consistent. Membership in social groups often changes, thus making it difficult to characterize a society’s community structure. In this chapter we formalize the
Tanya Berger-Wolf +2 more
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The Relationship of Communication Disorders to Syndrome Identification
Journal of Speech and Hearing Disorders, 1982Though birth defects and malformation syndromes often results in serious communication disorders, there has been relatively little input towards the study and delineation of congenital anomalies from speech and hearing sciences. By identifying a particular congenital malformation syndrome, the clinician is able to understand the possible symptoms which
V, Siegel-Sadewitz, R J, Shprintzen
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User identification in encrypted network communications
2010 International Conference on Network and Service Management, 2010Encrypting network traffic is a normal procedure to protect information for exchange. This prevents tapping and manipulation but it also hampers intrusion as well as data leakage and misuse detection. Obtaining knowledge about users of encrypted communications is, however, beneficial in terms of monitoring access, security and accounting reasons. Thus,
Robert Koch 0002, Gabi Dreo Rodosek
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Community Structure Identification
2007We compare recent approaches to community structure identification in terms of sensitivity and computational cost. The recently proposed modularity measure is revisited and the performance of the methods as applied to ad hoc networks with known community structure, is compared.
Leon Danon +3 more
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Emotion Identification from Spontaneous Communication
2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), 2016This study aimed to design a model for automatic identification of emotion from spontaneous communication using the acoustic characteristics of human speech. An experimental setup to collect and annotate call center Amharic telephone dialogs containing natural emotions is presented.
Fekade Getahun, Mikiyas Kebede
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The expert identification in the cyber knowledge community
International Journal of Computational Science and Engineering, 2016The cyber community has played an important role for knowledge sharing on the internet. By posting articles and comments in the cyber community, the members can share knowledge with each other conveniently. In the community, the members would like to ask someone to solve some specific problems.
Deng-Neng Chen, Po-Chun Hsieh
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Magnet community identification on social networks
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining, 2012Social communities connect people of similar interests together and play essential roles in social network applications. Examples of such communities include people who like the same objects on Facebook, follow common subjects on Twitter, or join similar groups on LinkedIn. Among communities, we notice that some of them are {\em magnetic} to people. A {
Guan Wang +3 more
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