Social Network Analysis and Mining

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Applying modality and equivalence concepts to pattern finding in social process-produced data
Social Network Analysis and Mining - Tập 1 - Trang 59-72 - 2010
Robert A. Hanneman, Christian R. Shelton
Large amounts of detailed transactional information are generated by ongoing social processes. For managing and mining such data, we treat them as “objects” and “relations”. These ideas strongly parallel the way that social network analysts conceive of social structure. Modality (roughly, distinguishing multiple classes of social actors or nodes in networks) and equivalence classes (roughly, disti...... hiện toàn bộ
Behavioral differences: insights, explanations and comparisons of French and US Twitter usage during elections
Social Network Analysis and Mining - - 2020
Ian Davidson, Antoine Gourru, Julien Velcin, Yue Wu
Generalized relationships between characteristic path length, efficiency, clustering coefficients, and density
Social Network Analysis and Mining - Tập 8 - Trang 1-6 - 2018
Alexander Strang, Oliver Haynes, Nathan D. Cahill, Darren A. Narayan
Graph theoretic properties such as the clustering coefficient, characteristic (or average) path length, global and local efficiency provide valuable information regarding the structure of a graph. These four properties have applications to biological and social networks and have dominated much of the literature in these fields. While much work has done in applied settings, there has yet to be a ma...... hiện toàn bộ
Information dissemination modeling based on rumor propagation in online social networks with fuzzy logic
Social Network Analysis and Mining - Tập 12 Số 1 - Trang 1-18 - 2022
Hosseini, Soodeh, Zandvakili, Aboozar
Rumor is an important form of social interaction. Therefore, spreading harmful rumors can have a negative impact on the health of the society. People's communication in the society plays an important role in spreading rumors, and whether or not it is spread depends on the person's level of trust in the rumor. Thus, one of the most important factors in a person's trust (or distrust) of a rumor is t...... hiện toàn bộ
Deep learning approaches for Arabic sentiment analysis
Social Network Analysis and Mining - Tập 9 - Trang 1-12 - 2019
Ammar Mohammed, Rania Kora
Social media are considered an excellent source of information and can provide opinions, thoughts and insights toward various important topics. Sentiment analysis becomes a hot topic in research due to its importance in making decisions based on opinions derived from analyzing the user’s contents on social media. Although the Arabic language is one of the widely spoken languages used for content s...... hiện toàn bộ
Maximizing rumor containment in social networks with constrained time
Social Network Analysis and Mining - Tập 4 - Trang 1-10 - 2014
Lidan Fan, Weili Wu, Xuming Zhai, Kai Xing, Wonjun Lee, Ding-Zhu Du
The spread of rumor or misinformation in social networks may cause bad effects among the public. Thus, it is necessary to find effective strategies to control the spread of rumor. Specifically, in our paper, we consider such a setting: initially, a subset of nodes is chosen as the set of protectors, and the influence of protector diffuses competitively with the diffusion of rumor. However, in real...... hiện toàn bộ
Correction to: Complex networks are structurally distinguishable by domain
Social Network Analysis and Mining - Tập 10 - Trang 1-1 - 2020
Ryan A. Rossi, Nesreen K. Ahmed
The authors of this Erratum have jointly agreed that James P. Canning, Emma E. Ingram, Sammantha Nowak-Wolff, Adriana M. Ortiz and Karl R. B. Schmitt, referred to in the acknowledgements of the original version of the article [1], are co-authors of this article.
Social data provenance framework based on zero-information loss graph database
Social Network Analysis and Mining - Tập 12 - Trang 1-25 - 2022
Asma Rani, Navneet Goyal, Shashi K. Gadia
Social media has become a common platform for global communication across the world due to its rapid dissemination of information among a large audience. Its popularity has raised a crucial challenge to capture the social data provenance of a piece of information published on social media. Social data provenance describes the source and deriving process of a digital content, and when it is updated...... hiện toàn bộ
Editorial
Social Network Analysis and Mining - Tập 3 - Trang 785-785 - 2013
Anwitaman Datta, Ee-Peng Lim, Stuart W. Shulman
A social network evolution model based on seniority
Social Network Analysis and Mining - Tập 2 - Trang 107-119 - 2011
Yi-Kuang Ko, Jing-Kai Lou, Cheng-Te Li, Shou-De Lin, Shyh-Kang Jeng
A social network is a representation that describes the relationships between individuals. In recent years, several interesting phenomena, such as the densification power law, have been observed in social networks and a number of models have been proposed to explain them. In this paper, we investigate an interesting phenomenon called the seniority difference distribution of new connections, which ...... hiện toàn bộ
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