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Calculating role similarities: An algorithm that helps determine the orbits of a graph

Martin G. Everett, Steve Borgatti
1988 Social Networks  
The orbits or a graph, digraph or network provide an effective definition for role equivalence since they are a natural generalization of the principle of substitutability of structural equivalence.  ...  In addition, we suggest a simple measure of role similarity based upon the constructions contained within the algorithm.  ...  Structural equivalence as presented by Lorrain and White is based upon the fact that two structurally equivalent actors can be substituted for each other without changing the structure of the social network  ... 
doi:10.1016/0378-8733(88)90011-1 fatcat:nvbzefrj75clpmyvgwyscodfea

Towards a Social Network Approach for Monitoring Insider Threats to Information Security [chapter]

Anand Natarajan, Liaquat Hossain
2004 Lecture Notes in Computer Science  
Secondly, we describe the use of social network approach in general and suggest its application to monitoring insider threats.  ...  Thirdly, we provide an analysis of the properties and characteristics of social network analysis as they relate to monitoring insider threats for the intelligence community 1 .  ...  By identifying the number of "In ties", "Out ties", "No ties", "Reciprocated ties", and the "Neighborhood size" of each actor, we can analyze the social roles of the actors within the network.  ... 
doi:10.1007/978-3-540-25952-7_41 fatcat:jzhvxa7o3vgtrbzismvki7oor4

Linkage between crime statistics and neighborhoods by means of Social Network Analysis: A case study of Portland, OR

Aparna Gopal, Oxana Bazhenova
Summary: Well-being and safety of residents in the neighborhood depends on various factors, and the role of social network actors and their relationship between each other is one of the most significant  ...  Social Network Analysis functions is a strong tool in analyzing the relationships between crime and the neighborhoods in the City of Portland.  ...  1) Introduction: Well-being and safety of residents in the neighborhood depends on various factors, and the role of social network actors and their relationship between each other is one of the most significant  ... 
doi:10.6084/m9.figshare.19308011.v1 fatcat:jeptbxmbszaqbbssgtp6eomhdu

Moving Beyond Neighborhood: Activity Spaces and Ecological Networks As Contexts for Youth Development

Christopher R Browning, Brian Soller
2014 Cityscape  
Research into the causes and consequences of urban neighborhood routine activity structures will illuminate the social processes accounting for compromised youth outcomes in disadvantaged neighborhoods  ...  We specifically discuss the role of embeddedness in ecological communities-that is, clusters of actors and locations that intersect at higher rates-for understanding contextual influences that are inadequately  ...  Browning is a professor in the Department of Sociology at The Ohio State University. Brian Soller is an assistant professor in the Department of Sociology at the University of New Mexico.  ... 
pmid:25105172 pmcid:PMC4121985 fatcat:b4rsmnh4bvejxafcej3fg24zya

Special issue on 'Network Analysis' Preface by the Guest Editors

Anuška Ferligoj, Vladimir Batagelj
2011 Advances in Data Analysis and Classification  
This interest can be attributed to the importance and need to analyze (e.g., social) relationships among units, to detect any underlying structural patterns, and to infer implications of these relationships  ...  While the origins of social network analysis can be found in sociometry (Moreno 1934), the social psychology of groups, and various sociological and social anthropological studies of factories and communities  ...  the same cluster have a similar role structure.  ... 
doi:10.1007/s11634-011-0089-4 fatcat:vkhhdby6fvho3bzvk6vmybdycq

Social structure and depression in TrevorSpace

Christopher M. Homan, Naiji Lu, Xin Tu, Megan C. Lytle, Vincent M.B. Silenzio
2014 Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing - CSCW '14  
With survey data on fewer than two hundred community members and the network graph of the entire community (which is completely anonymous except for the survey responses), we detected statistically significant  ...  We discover patterns related to depression in the social graph of an online community of approximately 20,000 lesbian, gay, and bisexual, transgender, and questioning youth.  ...  We also thank the staff and leadership of the Trevor Project, whose cooperation was essential for performing the work described in this document.  ... 
doi:10.1145/2531602.2531704 pmid:28492067 pmcid:PMC5421990 dblp:conf/cscw/HomanLTLS14 fatcat:bkp5e7fpxnffln4jqxvnmlsasq

A Parallel Community Detection Algorithm for Big Social Networks

Yathrib AlQahtani, Mourad Ykhlef
2018 International Journal of Advanced Computer Science and Applications  
DenGraph is one of the density-based algorithms that used to find clusters of arbitrary shapes based on users' interactions in social networks.  ...  Mining social networks has become an important task in data mining field, which describes users and their roles and relationships in social networks.  ...  INTRODUCTION Social networks have become extremely popular in the last years, and they have important roles in the dissemination of information and innovation.  ... 
doi:10.14569/ijacsa.2018.090146 fatcat:mu4bfdqb2rd77l3nmfq3q3q6ie

Bipartite Network Model for Inferring Hidden Ties in Crime Data

Haruna Isah, Daniel Neagu, Paul Trundle
2015 Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015 - ASONAM '15  
the method in two case studies on pharmaceutical crime and underground forum data using standard network algorithms for structural and community analysis.  ...  The vertex level metrics and community analysis results obtained indicate the significance of our work in understanding the operations and structure of organised criminal networks which were not immediately  ...  Subgraph allow us to identify common social roles and structures.  ... 
doi:10.1145/2808797.2808842 dblp:conf/asunam/IsahNT15 fatcat:76zbeoxukbb2rjvdd5naley5ui

Graph Mining Applications to Social Network Analysis [chapter]

Lei Tang, Huan Liu
2010 Managing and Mining Graph Data  
As most networks demonstrate strong community structures, one basic task in social network analysis is community detection which uncovers the group membership of actors in a network.  ...  Actors in a social network form groups 1 . This task identify these communities through the study of network structures and topology.  ...  Introduction Social Network Analysis (SNA) [61] is the study of relations between individuals including the analysis of social structures, social position, role analysis, and many others.  ... 
doi:10.1007/978-1-4419-6045-0_16 dblp:series/ads/TangL10 fatcat:ydikf7xblvah5a36nazj6idwje

Ecological and perfect colorings

Stephen P. Borgatti, Martin G. Everett
1994 Social Networks  
In addition, the ecological property may be useful in other contexts as well, as in population ecology approaches to organizational structure, and power in exchange networks. Conclusion Fig. 1.  ...  A recent study (Hummon and Carley 1992) has indicated that one of the main research paths in the discipline of social networks is the study of roles and positions.  ... 
doi:10.1016/0378-8733(94)90010-8 fatcat:ht5otxbwrvchxjukkdqeofuf5a

Visualization of evolving social networks using actor-level and community-level trajectories

Márcia Oliveira, João Gama
2013 Expert systems  
In this paper we present an approach to visualize the evolution of dynamic social networks by using Tucker decomposition and the concept of temporal trajectory.  ...  In recent years we witnessed an impressive advance in the social networks field, which became a "hot" topic and a focus of considerable attention.  ...  In our approach we propose to detect communities in raw social networks using the so-called Louvain method (Blondel et al., 2008) .  ... 
doi:10.1111/exsy.12028 fatcat:fikiswfsoreipisjp5e5rd3cii

Demystifying governance and its role for transitions in urban social-ecological systems

Tischa A. Muñoz-Erickson, Lindsay K. Campbell, Daniel L. Childers, J. Morgan Grove, David M. Iwaniec, Steward T. A. Pickett, Michele Romolini, Erika S. Svendsen
2016 Ecosphere  
This article concludes with a call to ecologists who are interested in environmental stewardship, and to urban ecologists in particular, to consider the role of governance as a driver in the dynamics of  ...  We briefly identify and synthesize important governance dimensions of urban sustainability transitions, using illustrations from cities in which long-term social-ecological governance research is underway  ...  For instance, a SNA of information flows in San Juan revealed barriers to the use of knowledge in land use planning, as the network of actors involved in management of environmental quality was separate  ... 
doi:10.1002/ecs2.1564 fatcat:dbdugywmr5gwfbkkkcferhdviy

Roles in social networks: Methodologies and research issues

Mathilde Forestier, Anna Stavrianou, Julien Velcin, Djamel A. Zighed
2012 Web Intelligence and Agent Systems  
In this article, a survey of the state-of-the-art approaches is presented regarding the identification of roles within the context of a social network.  ...  These roles may be developed in social networks, and they keep changing and evolving over time.  ...  Such networks are studied with techniques of Social Network Analysis [58] in order to analyze the characteristics of the various actors, detect patterns and identify existing communities.  ... 
doi:10.3233/wia-2012-0236 fatcat:wb5uwcz2rfdo3lytd3bhc2cs6q

Group-Level Analysis and Visualization of Social Networks [chapter]

Michael Baur, Ulrik Brandes, Jürgen Lerner, Dorothea Wagner
2009 Lecture Notes in Computer Science  
Social network analysis investigates the structure of relations amongst social actors.  ...  In a nutshell, SNA analyzes the structure of relations among (social, political, organizational) actors.  ...  Positions in Networks The notion of (structural) position is fundamental in social network analysis, see for example [54, 9] .  ... 
doi:10.1007/978-3-642-02094-0_16 fatcat:rdyz7ydvpvefbhcfodbfq2sdrm

The nurse as an integration agent in handoff: A social networks analysis perspective

Sergio da Silva Antonio, Bento Ambrosio Avelar Aline, Carlos Farina Milton
2014 African Journal of Business Management  
Identifying the most important actors in a social network is one of the applications of graph theory in social network analysis (SNA).  ...  Socialization among health professionals (actors) and their structural positions, in social networks, are important factors to be considered in developing strategies, which include information dissemination  ...  actors in the neighborhood).  ... 
doi:10.5897/ajbm2014.7476 fatcat:etnkcpzlcfcste63aizjzuujgy
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