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期刊名:Applied network science

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ISSN:N/A

e-ISSN:2364-8228

IF/分区:1.5/Q2

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共收录本刊相关文章索引199
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César A Hidalgo César A Hidalgo
During decades the study of networks has been divided between the efforts of social scientists and natural scientists, two groups of scholars who often do not see eye to eye. In this review I present an effort to mutually translate the work...
Matteo Zignani,Azadeh Esfandyari,Sabrina Gaito et al. Matteo Zignani et al.
The continual launches of new online social media that meet the most varied people's needs are resulting in a simultaneous adoption of different social platforms. As a consequence people are pushed to handle their identity across multiple p...
Benjamin Renoust,Tetsuro Kobayashi,Thanh Duc Ngo et al. Benjamin Renoust et al.
In the age of data processing, news videos are rich mines of information. After all, the news are essentially created to convey information to the public. But can we go beyond what is directly presented to us and see a wider picture? Many w...
C A Piña-García,Carlos Gershenson,J Mario Siqueiros-García C A Piña-García
One of the most significant current challenges in large-scale online social networks, is to establish a concise and coherent method aimed to collect and summarize data. Sampling the content of an Online Social Network (OSN) plays an importa...
Darko Cherepnalkoski,Igor Mozetič Darko Cherepnalkoski
Analyzing information from social media to uncover underlying real-world phenomena is becoming widespread. The goal of this paper is to evaluate the role of Twitter in identifying communities of influence when the 'ground truth' is known. W...
Ronaldo Menezes,Hocine Cherifi Ronaldo Menezes
Zhiliang Zhu,Zejun Ke,Jiayin Cui et al. Zhiliang Zhu et al.
Based on the statistical features, short text messages published by different gender users are different in terms of the words and semantics used. In this paper, two new features are constructed after constructing a gender-specific thesauru...
Babak Fotouhi,Naghmeh Momeni,Maria A Riolo et al. Babak Fotouhi et al.
Tools from network science can be utilized to study relations between diseases. Different studies focus on different types of inter-disease linkages. One of them is the comorbidity patterns derived from large-scale longitudinal data of hosp...
Shikang Liu,David Hachen,Omar Lizardo et al. Shikang Liu et al.
Understanding the relationship between individuals' social networks and health could help devise public health interventions for reducing incidence of unhealthy behaviors or increasing prevalence of healthy ones. In this context, we explore...
Letizia Milli,Giulio Rossetti,Dino Pedreschi et al. Letizia Milli et al.
Ideas, information, viruses: all of them, with their mechanisms, spread over the complex social information, viruses: all tissues described by our interpersonal relations. Usually, to simulate and understand the unfolding of such complex ph...