دانلود رایگان مقاله لاتین کشف اثر انگشت شبکه اجتماعی از سایت الزویر
عنوان فارسی مقاله:
کشف اثر انگشت شبکه های اجتماعی آنلاین با استفاده از روش شبکه های مبتنی بر موتیف
عنوان انگلیسی مقاله:
Uncovering the fingerprint of online social networks using a network motif based approach
سال انتشار : 2016
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مقدمه انگلیسی مقاله:
1. Introduction
Complex networks cover an active area of scientific research inspired largely by the empirical study of real-world networks such as communication networks, economical networks and social networks. They are classified into four major types, based on the context which they model: biological networks (e.g., metabolic networks, transcription regulatory networks, protein–protein interaction networks, protein structure networks, neural networks, ecological networks, and natural food chains) [1,15,50], social networks (e.g. friendship networks, citation networks, voter networks, world markets, and political structures) [36,42,50], technological networks (e.g., computer networks, electrical circuits, and road networks) [1], and semantic networks (e.g. word-net [31] and recipe networks [43]). Without exception, all these networks can be represented as graphs, which include a wide variety of subgraphs. One fundamental property of networks are the so-called network motifs, which were introduced by Milo et al. [33]. They represent recurrent and statistically signifi- cant subgraphs or patterns in these complex networks. The fact that motifs repeat themselves in specific networks, or even among various networks, is highly correlated with the concepts of evolutionary theory. Each of these subgraphs, defined by a particular pattern of interactions between graph nodes, may reflect a framework in which particular functions are achieved efficiently. Motifs are considered to have a notable importance today because they may reflect underlying functional properties [30]. In light of their ability to uncover structural design principles of complex networks, motifs have been slowly adopted from Systems Biology into the broader perspective of Network Science. Although they foster a deep insight into the functional abilities of a network, their detection is computationally challenging even by current standards.
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کلمات کلیدی:
Publications - Alexandru Topîrceanu - Google Sites https://sites.google.com/site/alexandrutopirceanu/biography/publications?...true Uncovering the fingerprint of online social networks using a network motif based approach. Computer Communications, 73, 167-175. [ScienceDirect]. Social Network Analysis Based on Network Motifs - Hindawi https://www.hindawi.com/journals/jam/2014/874708/ by X Hong-lin - 2014 - Cited by 1 - Related articles Dec 25, 2013 - Social Network Analysis Based on Network Motifs ... Compared with the traditional way based on nodes centrality degree, the new approach can be used to ... and technology networks (electricity networks, the Internet, etc.) ... [PDF]Uncovering the fingerprint of online social networks using a network ... iranarze.ir/wp-content/uploads/2016/11/E744.pdf classifying social networks based on their topological aspects using motifs. As such, we .... using an novel approach – classification using the network structure,. Dimensionality of Social Networks Using Motifs and Eigenvalues - PLOS journals.plos.org/plosone/article?id=10.1371/journal.pone.0106052 by A Bonato - 2014 - Cited by 11 - Related articles Sep 4, 2014 - We find that a social network model with nodes and links sampled from an ... Further, we employ two different methods for confirming the hypothesis: the first uses the ... Empirical studies of on-line social networks as undirected graphs ... [12] because all links in geometric protean networks arise based on an ... Alexandru Topirceanu - Google Scholar Citations scholar.google.com/citations?user=pHiA3SkAAAAJ&hl=en Politehnica University Timisoara - cs.upt.ro A network motif based approach for classifying online social networks ... Social cities: Quality assessment of road infrastructures using a network motif approach. A Motif-based Approach for Identifying Controversy https://arxiv.org › cs by M Coletto - 2017 Mar 15, 2017 - Computer Science > Social and Information Networks ... the problem of identifying controversy in social media mostly based on the analysis ... it is possible to detect controversy in social media by exploiting network motifs, i.e., ... The Computer Supported Collaborative Learning (CSCL) Conference ... https://books.google.com/books?isbn=1483406679 ISLS In addition, we found two network triad motifs (M14 and M16) make up more than half ... our approaches and findings can inform assessment practices in online learning ... This material is based upon work supported, in part, by the U.S. National ... Social networks and learning networks: using social network perspectives to ...
