Page 2 of 8
Drug development is a time-consuming process from the start of research to obtaining approval, and the probability of success with a candidate compound is extremely low. We aim to understand the characteristic...
Citation: Applied Network Science 2020 5:87
Social media like Twitter or Instagram play the role of fertile platforms for self-exhibition and allow their users to earn a good repute. People higher in grandiosity share their contents in a charismatic way...
Citation: Applied Network Science 2020 5:84
Think tanks have become central players in the political and policy ecosystem of the United States, yet the communication and coordination strategies and connections between them remain relatively unexamined. ...
Citation: Applied Network Science 2020 5:83
The role of misinformation diffusion during a pandemic is crucial. An aspect that requires particular attention in the analysis of misinfodemics is the rationale of the source of false information, in particul...
Citation: Applied Network Science 2020 5:82
We perform an extensive analysis of how sampling impacts the estimate of several relevant network measures. In particular, we focus on how a sampling strategy optimized to recover a particular spectral central...
Citation: Applied Network Science 2020 5:81
In this study, we propose novel centrality measures considering multiple perspectives of nodes or node groups based on the facility location problem on a spatial network. The conventional centrality exclusivel...
Citation: Applied Network Science 2020 5:80
The hypergraph-of-entity is a joint representation model for terms, entities and their relations, used as an indexing approach in entity-oriented search. In this work, we characterize the structure of the hype...
Citation: Applied Network Science 2020 5:79
Social connections that reach distant places are advantageous for individuals, firms and cities, providing access to new skills and knowledge. However, systematic evidence on how firms build global knowledge a...
Citation: Applied Network Science 2020 5:78
Topic modeling that can automatically assign topics to legal documents is very important in the domain of computational law. The relevance of the modeled topics strongly depends on the legal context they are u...
Citation: Applied Network Science 2020 5:77
As illustrated by the 2008 global financial crisis, the financial distress of one country can trigger financial distress in other countries. We examine the problem of identifying such “systemically important” ...
Citation: Applied Network Science 2020 5:74
We aim to explore the connections between structural network inequalities and bank’s customer spending behaviours, within an entire national ecosystem made of natural persons (i.e., an individual human being) ...
Citation: Applied Network Science 2020 5:76
Human mobility connects urban dwellers and neighborhoods and impacts social equity. An in-depth understanding of human mobility helps to enhance urban resilience. However, limited research has focused on mobil...
Citation: Applied Network Science 2020 5:75
Node connectivity plays a central role in temporal network analysis. We provide a broad study of various concepts of walks in temporal graphs, that is, graphs with fixed vertex sets but arc sets changing over ...
Citation: Applied Network Science 2020 5:73
Computational and mathematical modelling towards understanding the structure and dynamics of biological systems has significantly impacted on translational neuroscience to face novel approaches toward neurolog...
Citation: Applied Network Science 2020 5:72
Supply chains enable the flow of goods and services within economic systems. When mapped for the entire economy and geographic locations of a country, supply chains form a spatial web of interactions among sup...
Citation: Applied Network Science 2020 5:71
Massive migrations have become increasingly prevalent over the last decades. A recent example is the Venezuelan migration crisis across South America, which particularly affects neighboring countries like Colo...
Citation: Applied Network Science 2020 5:70
Resources such as FrameNet, which provide sets of semantic frame definitions and annotated textual data that maps into the evoked frames, are important for several NLP tasks. However, they are expensive to bui...
Citation: Applied Network Science 2020 5:69
Worldwide urbanization calls for a deeper understanding of epidemic spreading within urban environments. Here, we tackle this problem through an agent-based model, in which agents move in a two-dimensional phy...
Citation: Applied Network Science 2020 5:68
We present a model of worldwide crisis contagion based on the Google matrix analysis of the world trade network obtained from the UN Comtrade database. The fraction of bankrupted countries exhibits an on-off phas...
Citation: Applied Network Science 2020 5:67
The COVID-19 pandemic has produced a flurry of online activity on social media sites. As such, analysis of social media data during the COVID-19 pandemic can produce unique insights into discussion topics and ...
Citation: Applied Network Science 2020 5:66
Relationships in real systems are often not binary, but of a higher order, and therefore cannot be faithfully modelled by graphs, but rather need hypergraphs. In this work, we systematically develop formal too...
Citation: Applied Network Science 2020 5:65
The Erasmus Program (EuRopean community Action Scheme for the Mobility of University Students), the most important student exchange program in the world, financed by the European Union and started in 1987, is ...
Citation: Applied Network Science 2020 5:64
In recent history, the Panama Papers have comprised one of the largest and most influential leaks detailing information on offshore entities, company officers and financial (and legal) intermediaries, and has ...
Citation: Applied Network Science 2020 5:63
Clustering is an essential technique for network analysis, with applications in a diverse range of fields. Although spectral clustering is a popular and effective method, it fails to consider higher-order stru...
Citation: Applied Network Science 2020 5:62
Currently, the relation between edit behavior, link structure, and article quality is not well-understood in our community, notwithstanding that this relationship may facilitate editing processes and content q...
Citation: Applied Network Science 2020 5:61
Studies of networked phenomena, such as interactions in online social media, often rely on incomplete data, either because these phenomena are partially observed, or because the data is too large or expensive ...
Citation: Applied Network Science 2020 5:60
The daily exposure of social media users to propaganda and disinformation campaigns has reinvigorated the need to investigate the local and global patterns of diffusion of different (mis)information content on...
Citation: Applied Network Science 2020 5:59
Complex networks are usually characterized by the presence of small and recurrent patterns of interactions between nodes, called network motifs. These small modules can help to elucidate the structure and the ...
Citation: Applied Network Science 2020 5:58
The team formation problem has existed for many years in various guises. One important challenge in the team formation problem is to produce small teams that have a required set of skills. We propose a framewo...
Citation: Applied Network Science 2020 5:57
A popular approach for understanding complex systems is a network analytic one: the system’s entities and their interactions are represented by a graph structure such that readily available methods suitable fo...
Citation: Applied Network Science 2020 5:56
Attribute-aware community discovery aims to find well-connected communities that are also homogeneous w.r.t. the labels carried by the nodes. In this work, we address such a challenging task presenting Eva, an al...
Citation: Applied Network Science 2020 5:55
The paper presents Intergraph, a graph-based visual analytics technical demonstrator for the exploration and study of content in historical document collections. The designed prototype is motivated by a practi...
Citation: Applied Network Science 2020 5:54
Recent work has employed information theory in social and complex networks. Studies often discuss entropy in the degree distributions of a network. However, no specific work on entropy exists in clique network...
Citation: Applied Network Science 2020 5:53
Learning on graphs is a subject of great interest due to the abundance of relational data from real-world systems. Many of these systems involve higher-order interactions (super-dyadic) rather than mere pairwi...
Citation: Applied Network Science 2020 5:52
Community detection is one of the most important tasks in network analysis. It is increasingly clear that quality measures are not sufficient for assessing communities and structural properties play a key hole...
Citation: Applied Network Science 2020 5:51
Software structure is the backbone for software systems. During the long time of software evolution, it is gradually weakened by continuous code modification and expansion driven by new requirements. Therefore...
Citation: Applied Network Science 2020 5:50
Traffic is a challenge in rural and urban areas alike with negative effects ranging from congestion to air pollution. Ride-sharing poses an appealing alternative to personal cars, combining the traffic-reducin...
Citation: Applied Network Science 2020 5:49
A problem that frequently occurs when mining complex networks is selecting algorithms with which to rank the relevance of nodes to metadata groups characterized by a small number of examples. The best algorith...
Citation: Applied Network Science 2020 5:48
The study of co-expression programs in the context of cancer can help to elucidate the genetic mechanisms that are altered and lead to the disease. The identification of gene co-expression patterns, unique to ...
Citation: Applied Network Science 2020 5:47
The position of a node in a social network, or node centrality, can be quantified in several ways. Traditionally, it can be defined by considering the local connectivity of a node (degree) and some non-local c...
Citation: Applied Network Science 2020 5:46
Discovering the node roles in a network helps to solve diverse social problems. Role discovery attempts to predict the node roles from a network structure, and this method has been extensively studied in vario...
Citation: Applied Network Science 2020 5:45
The determination of reliable early-warning indicators of economic crises is a hot topic in economic sciences. Pinning down recurring patterns or combinations of macroeconomic indicators is indispensable for a...
Citation: Applied Network Science 2020 5:44
An amendment to this paper has been published and can be accessed via the original article.
Citation: Applied Network Science 2020 5:43
The original article was published in Applied Network Science 2019 4:85
An amendment to this paper has been published and can be accessed via the original article.
Citation: Applied Network Science 2020 5:42
The original article was published in Applied Network Science 2019 4:6
Recently, an increasing body of work investigates networks with multiple types of links. Variants of such systems have been examined decades ago in disciplines such as sociology and engineering, but only recen...
Citation: Applied Network Science 2020 5:41
Supplier Impersonation Fraud (SIF) is a rising issue for Business-to-Business companies. The use of remote and quick digital transactions has made the task of identifying fraudsters more difficult. In this pap...
Citation: Applied Network Science 2020 5:40
A novel kernel-based support vector machine (SVM) for graph classification is proposed. The SVM feature space mapping consists of a sequence of graph convolutional layers, which generates a vector space repres...
Citation: Applied Network Science 2020 5:39
Global mobility and migration of scientists is an important modern phenomenon with economic and political implications. As scientists become ever more footloose it is important to identify general patterns and...
Citation: Applied Network Science 2020 5:38
Networks of portfolio holdings exemplify how interdependence both between the agents and their assets can be a source of systemic vulnerability. We study a real-world holdings network and compare it with vario...
Citation: Applied Network Science 2020 5:37
The mobility of scientists between different universities and countries is important to foster knowledge exchange. At the same time, the potential mobility is restricted by geographic and institutional constra...
Citation: Applied Network Science 2020 5:36
Speed
77 days to first decision for reviewed manuscripts only
74 days to first decision for all manuscripts
140 days from submission to acceptance
30 days from acceptance to publication
Citation Impact
1.5 - CiteScore
0.748 - Source Normalized Impact per Paper (SNIP)
0.466 - SCImago Journal Rank (SJR)
Usage
286,979 downloads
713 Altmetric mentions
Abstract and indexing coverage
CNKI
dblp
DOAJ
EBSCO Academic Search
EBSCO Discovery Service
EBSCO STM Source
EBSCO TOC Premier
Google Scholar
Inspec
OCLC
ProQuest - Summon
Scopus
Visit the membership page to check if your institution is a member and learn how you could save on article-processing charges (APCs).
