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Community Detection Using Node Attributes and Structural Patterns in Online Social Networks

Bikash Chandra Singh, Mohammad Muntasir Rahman, Md Sipon Miah, Mrinal Kanti Baowaly
2017 Computer and Information Science  
Community detection algorithms allow us to discover these types of patterns in online social networks.  ...  Furthermore, we extend our focus on the comparative analysis on some existing community detection methods, which basically consider node attributes and edge contents for detecting community.  ...  Motivation In this paper, we study both nodes' attributes clusters and edge contents clusters to detect online social networks communities and make comparative analysis on these two models.  ... 
doi:10.5539/cis.v10n4p50 fatcat:77ocbaqz7jfxtfvbsg5urvfqyi

Same wavelength group identification from online social networks: A general framework

Rafeeque Chalil, Selvaraju Sendhilkumar
2014 Computer Science and Information Systems  
The analysis of such groups would be of help in unravelling their response patterns and behavioural features.  ...  Reacting to social issues or events through Online Social Networks has become a social habit. Social scientists have identified several network relationships and dimensions that induce homophily.  ...  A recent work [24] used topics, social graph topology and nature of user interactions to discover latent communities in social graphs.  ... 
doi:10.2298/csis130220005c fatcat:g4ysvrgmtvbgvkqjizhtpy2l2e

Building Character Graphs and Dividing Communities in Chinese Novels Based on Graph Data Extraction: Community Division for Character Emotional Polarity Networks

Xiaolei Zhao, Xun Liang, Feng Tang, Xuan Zhang, Xiaoping Zhou, Xinyu Guo
2020 IEEE Access  
Though we use Chinese datasets in this paper, the model and methods are important references for literature analysis and graph extraction in other languages.  ...  INDEX TERMS Community division, character graphs, emotional polarity, natural language processing, social network analysis.  ...  BUILDING CHARACTER GRAPH AND DIVIDING COMMUNITIES USING EMOTIONAL DATA OF CHARACTER NETWORK A.  ... 
doi:10.1109/access.2020.2995738 fatcat:f453egtvvjb6dobw4d5brq5k6a

BiNoM 2.0, a Cytoscape plugin for accessing and analyzing pathways using standard systems biology formats

Eric Bonnet, Laurence Calzone, Daniel Rovera, Gautier Stoll, Emmanuel Barillot, Andrei Zinovyev
2013 BMC Systems Biology  
BiNoM can be used to import and analyze files created with the CellDesigner software. BiNoM provides a set of functions allowing to import BioPAX files, but also to search and edit their content.  ...  , BioPAX Level 3 and CSML; export to SBML, CellDesigner and BioPAX Level 3), and a set of algorithms to analyze and reduce the complexity of biological networks.  ...  Those functions can be used to reduce the complexity and extract meaningful subnetworks from large-scale molecular maps.  ... 
doi:10.1186/1752-0509-7-18 pmid:23453054 pmcid:PMC3646686 fatcat:kurxbxlhwnfchh4l3cr5lviufi

Use of E-mail Social Networks for Enterprise Benefit

Michal Laclavik, Štefan Dlugolinsky, Mar Kvassay, Ladislav Hluchy
2010 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology  
The article discusses the potential methods and benefits of the analysis of social networks hidden in the enterprise and personal email archives. A proof-ofconcept prototype was developed.  ...  Social network extraction and the spreading activation algorithm are discussed and evaluated.  ...  We would also like to thank Fedit for providing us with emails for testing.  ... 
doi:10.1109/wi-iat.2010.126 dblp:conf/iat/LaclavikDKH10 fatcat:sfxhyo2gdrbdjejdv57fcqqhhq

Recognition of Tables and Forms [chapter]

Bertrand Coüasnon, Aurélie Lemaitre
2014 Handbook of Document Image Processing and Recognition  
It is possible to go further with graph grammars to extract some hierarchical table structure in complex 2D-tables.  ...  To deal with noise in document images, for complex fully ruled 2D-tables, one can use intersections and terminal points of rulings and the context of the neighboring intersections, to detect some missing  ...  Lopresti and Nagy present a survey in a tabular way in [2] . The survey proposed by Dengel in [56] presents several challenge that are related to document and table analysis. In 2004, Zannibi et al  ... 
doi:10.1007/978-0-85729-859-1_20 fatcat:lxyn3pcn2zehvk4zw5ydoidewa

Research and Implementation of Chinese Automatic Word Segmentation System Based on Complex Network Features

Huihui Si, Xin Ning
2022 Wireless Communications and Mobile Computing  
Complex networks are widely used in modeling and analysis of complex systems across a wide range of disciplines, prompting an increase in interest in the structure of complex networks and the relationship  ...  In summary, an in-depth study of network news information processing through complex networks can provide effective means to purify the network environment and reduce massive waste of communication resources  ...  Complex networks are widely used in the modeling and analysis of complex systems in various disciplines, which also makes more and more scholars begin to pay attention to the structure of complex networks  ... 
doi:10.1155/2022/3812643 fatcat:hujp4bhr55huth624bgyuknfli

Social Network Analysis Taxonomy Based on Graph Representation [article]

Andry Alamsyah, Budi Rahardjo, Kuspriyanto
2021 arXiv   pre-print
There are three approaches in the current social network analysis study: Graph Representation, Content Mining, and Semantic Analysis.  ...  Graph Representation has been used for analyzing social network topology, structural modeling, tie-strength, community detection, group cohesion visualization, and metrics computations.  ...  Semantic analysis in SNA is developed due to lacking semantics support in graph representation and content analysis.  ... 
arXiv:2102.08888v1 fatcat:fyd333tl2ncpva5lyyj53qanyu

Network Analysis Tools: from biological networks to clusters and pathways

Sylvain Brohée, Karoline Faust, Gipsi Lima-Mendez, Gilles Vanderstocken, Jacques van Helden
2008 Nature Protocols  
The first line of the result file indicates the parameters used for the analysis and documents the content of the columns.  ...  Cluster analysis 4| Extracting clusters from the network with MCL (Steps 4-10). We will first apply graph-based clustering to detect groups of highly interconnected nodes in the sample network.  ... 
doi:10.1038/nprot.2008.100 pmid:18802442 fatcat:7xb7lx6rtbhr7bwlzycp5x3rxu

NAP: The Network Analysis Profiler, a web tool for easier topological analysis and comparison of medium-scale biological networks

Theodosios Theodosiou, Georgios Efstathiou, Nikolas Papanikolaou, Nikos C. Kyrpides, Pantelis G. Bagos, Ioannis Iliopoulos, Georgios A. Pavlopoulos
2017 BMC Research Notes  
It is designed to bridge the gap between network analysis, statistics, graph theory and partially visualization in a user-friendly way.  ...  It is written in R and Shiny, it is based on the igraph library and it is able to handle medium-scale weighted/unweighted, directed/undirected and bipartite graphs.  ...  Overall, we believe that NAP can reach users beyond the broader network analysis community and aid nonexperts in analyzing their networks in a simplified and highly interactive way.  ... 
doi:10.1186/s13104-017-2607-8 pmid:28705239 pmcid:PMC5513407 fatcat:rzpwo3unnfbfxjzm3tiur7bllm

Large-scale collaborative analysis and extraction of web data

Felix Weigel, Biswanath Panda, Mirek Riedewald, Johannes Gehrke, Manuel Calimlim
2008 Proceedings of the VLDB Endowment  
users during search, data extraction and analysis.  ...  We demonstrate the Web Lab Collaboration Server, a platform and service for large-scale collaborative web data analysis in a distributed computing environment, and show how it seamlessly supports non-technical  ...  can be freely combined into complex analysis tasks using a form-based GUI, as shown in Figure 3 .  ... 
doi:10.14778/1454159.1454205 fatcat:2uiln2tqsrhxbjrcer6fekdbbe

Mining and modeling character networks [article]

Anthony Bonato, David Ryan D'Angelo, Ethan R. Elenberg, David F. Gleich, Yangyang Hou
2016 arXiv   pre-print
Building on recent work of beveridge, we consider graph extraction, visualization, and network statistics for three novels: Twilight by Stephanie Meyer, Steven King's The Stand, and J.K.  ...  These character networks exhibit many of the properties of complex networks such as skewed degree distribution and community structure, but may be of relatively small order with a high multiplicity of  ...  Introduction Complex networks lie at the intersection of several disciplines and have found broad application within the study of social networks.  ... 
arXiv:1608.00646v2 fatcat:zlvuny2agjgbtpkxfkuao4ygrm

Mining and Modeling Character Networks [chapter]

Anthony Bonato, David Ryan D'Angelo, Ethan R. Elenberg, David F. Gleich, Yangyang Hou
2016 Lecture Notes in Computer Science  
Building on recent work of Beveridge and Shan [4], we consider graph extraction, visualization, and network statistics for three novels: Twilight by Stephanie Meyer, Steven King's The Stand, and J.K.  ...  These character networks exhibit many of the properties of complex networks such as skewed degree distribution and community structure, but may be of relatively small order with a high multiplicity of  ...  Introduction Complex networks lie at the intersection of several disciplines and have found broad application within the study of social networks.  ... 
doi:10.1007/978-3-319-49787-7_9 fatcat:nno3dryl4fcr5l63sxrszfdvhe

Special issue on computational intelligence for social mining

David Camacho, Gema Bello-Orgaz
2019 Journal of Ambient Intelligence and Humanized Computing  
In this special issue we processing so many papers in a timely manner would have been impossible but for the timely and active cooperation of the reviewers.  ...  We are most grateful to the authors for their valuable contributions and for their willingness and efforts to improve their papers in accordance with the suggestions and comments from reviewers and editors  ...  In particular, the authors use heterogeneous graphs to infer sentiment polarities at userlevel.  ... 
doi:10.1007/s12652-019-01484-y fatcat:hs4xb556urazjizdja7lgvwsge

Complex-Network Tools to Understand the Behavior of Criminality in Urban Areas [chapter]

Gabriel Spadon, Lucas C. Scabora, Marcus V. S. Araujo, Paulo H. Oliveir, Bruno B. Machado, Elaine P. M. Sousa, Caetano Traina, Jose F. Rodrigues
2017 Advances in Intelligent Systems and Computing  
Complex networks are nowadays employed in several applications. Modeling urban street networks is one of them, and in particular to analyze criminal aspects of a city.  ...  to a deep analysis of criminal communities.  ...  the assistance (grant 2015/15392-7, 2016/02557-0, 2016/17330-1), to Capes (Brazilian Federal Agency for Support and Evaluation of Graduate Education) and to the Databases and Images Group (GBdI) by the  ... 
doi:10.1007/978-3-319-54978-1_63 fatcat:vrdtaezssnbmfppzywgfu6qphm
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