23 papers · ranked by Valyu relevance
Damien R. Farine, Hal Whitehead, Sonia Altizer
Title: Summary 1. Animal social networks are descriptions of social structure which, aside from their intrinsic interest for understanding sociality, can have significant bearing across many fields of biology. 2. Network analysis provides a flexible toolbox for testing a broad range of hypotheses, and for describing…
Thomas W. Valente, Lawrence A. Palinkas, Sara Czaja, Kar-Hai Chu + 2 more
'C. Hendricks Brown' 'Spencer Moore'] This paper introduces the use of social network analysis theory and tools for implementation research. The social network perspective is useful for understanding, monitoring, influencing, or evaluating the implementation process when programs, policies, practices, or principles are…
Abdulrahman M El-Sayed, Peter Scarborough, Lars Seemann, Sandro Galea
'Sandro Galea'] The past five years have seen a growth in the interest in systems approaches in epidemiologic research. These approaches may be particularly appropriate for social epidemiology. Social network analysis and agent-based models (ABMs) are two approaches that have been used in the epidemiologic literature.…
Elisa C Baek, Mason A Porter, Carolyn Parkinson
Although social neuroscience is concerned with understanding how the brain interacts with its social environment, prevailing research in the field has primarily considered the human brain in isolation, deprived of its rich social context. Emerging work in social neuroscience that leverages tools from network analysis…
Valentina Rizzoli, Anderson da Silveira, Mirella De Falco, Mauro Sarrica
'Mauro Sarrica'] This paper advances the integration of Social Network Analysis (SNA) and topic detection into the study of Social Representations (SRs). We suggest that a combination of the two analyses helps to detect communities characterised by shared contents and/or social interactions, the two facets that make…
Naomi Zakimi, Alissa Greer, Martin Bouchard, Arshpreet Dhillon + 2 more
Social network analysis (SNA) is both a theoretical perspective and a methodological approach to examining the social connections and structures among social beings. Its foundations can be traced back to early 1900s business, anthropology, and sociology research . Business and organizational research conducted at…
André Filipe de Moraes Batista, Maria das Graças Bruno Marietto
The social network analysis (SNA), branch of complex systems can be used in the construction of multiagent systems. This paper proposes a study of how social network analysis can assist in modeling multiagent systems, while addressing similarities and differences between the two theories. We built a prototype of…
Mohammed Zuhair Al-Taie, Seifedine Kadry
— this paper deals with a very renowned website (that is Book-Crossing) from two angles: The first angle focuses on the direct relations between users and books. Many things can be inferred from this part of analysis such as who is more interested in book reading than others and why? Which books are most popular and…
Quinn M.R. Webber, Eric Vander Wal
The increased popularity and improved accessibility of social network analysis has improved our ability to test hypotheses about the complexity of animal social structure. To gain a deeper understanding of the use and application of social network analysis, we systematically surveyed the literature and extracted…
Andry Alamsyah, Budi Rahardjo, Kuspriyanto
There are three approaches in 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. This…
Lyudmyla Kirichenko, Тамара Радівілова, Anders Carlsson
This article considers a short survey of basic methods of social networks analysis, which are used for detecting cyber threats. The main types of social network threats are presented. Basic methods of graph theory and data mining, that deals with social networks analysis are described. Typical security tasks of social…
Elisa C Baek, Mason A. Porter, Carolyn Parkinson
Although social neuroscience is concerned with understanding how the brain interacts with its social environment, prevailing research in the field has primarily considered the human brain in isolation, deprived of its rich social context. Emerging work in social neuroscience that leverages tools from network analysis…
David Burth Kurka, Alan Godoy, Fernando J. Von Zuben
The emergence and popularization of online social networks suddenly made available a large amount of data from social organization, interaction and human behavior. All this information opens new perspectives and challenges to the study of social systems, being of interest to many fields. Although most online social…
Elena del Val, Miguel Rebollo, Vicente Botti, Frederic Amblard
The number of people using on-line social networks as a new way of communication is continually increasing. The messages that a user writes in these networks and his/her interactions with other users leave a digital trace that is recorded. Thanks to this fact and the use of network theory, the analysis of messages…
Tanupriya Choudhury, Rohini Arunachalam, Abhirup Khanna, Elzbieta Jasinska + 4 more
Machine learning techniques facilitate efficient analysis of complex networks, and can be used to discover communities. This study aimed use such approaches to raise awareness of the COVID-19. In this regard, social network analysis describes the clustering and classification processes for detecting communities. The…
Aneeq Hashmi, Faraz Zaidi, Arnaud Sallaberry, Tariq Mehmood
—The modern age has seen an exponential growth of social network data available on the web. Analysis of these networks reveal important structural information about these networks in particular and about our societies in general. More often than not, analysis of these networks is concerned in identifying similarities…
Sosa Sebastian, Puga-Gonzalez Ivan, Hu Feng He, Zhang Peng + 2 more
How animals interact and develop social relationships regarding, individual attributes, sociodemographic and ecological pressures is of great interest. New methodologies, in particular Social Network Analysis, allow us to elucidate these types of questions. However, the different methodologies developed to that end and…
Brenna Marie Gagliardi, Nader St-Amant, Roslyn Dakin
Social networks can shape the evolution and transmission of behaviours. Recent studies have characterized social networks within species, but we know relatively little about the drivers of variation in the structure of social networks across species. Here, we analyze a database of 631 social networks from more than 30…
Ben Kawam, Julia Ostner, Richard McElreath, Oliver Schülke + 1 more
A major goal of behavioural ecology is to explain how phenotypic and ecological factors shape the social relationships that animals form with one another. This inferential task is notoriously challenging. The social networks of interest are generally not observed, but must be approximated from behavioural samples.…
Pratha Sah, Janet Mann, Shweta Bansal
The disease costs of sociality have largely been understood through the link between group size and transmission. However, infectious disease spread is driven primarily by the social organization of interactions in a group and not its size. We used statistical models to review the social network organization of 47…
Sebastian Sosa, Mary Brooke McElreath, Daniel Redhead, Cody T. Ross
Data collection biases are a persistent issue for studies of social networks. This issue has been particularly important in Animal Social Network Analysis (ASNA), where data are unevenly sampled and such biases may potentially lead to incorrect inferences about animal social behavior. Here, we address the issue by…
Naruki Yoshikawa, Ryuichi Kubo, Kazuki Yamamoto
Social media activity on a research article is considered to be an altmetric, a new measure to estimate research impact. Demonstrating software on Twitter is a powerful way to attract attention from a larger audience. SNS integration of software can also lower the barriers to trying the tools and make it easier to save…
Andrew Stokely, Lane Votapka, Marcus Hock, Abigail Teitgen + 3 more
We present the Netsci program - an open-source scientific software package that leverages GPU acceleration and a k-nearest-neighbor algorithm in order to estimate the mutual information (MI) between data in a set. The GPU acceleration presented here, as an improvement upon existing estimators, enables calculation…