The Experts below are selected from a list of 1383 Experts worldwide ranked by ideXlab platform
Iván García-magariño - One of the best experts on this subject based on the ideXlab platform.
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ABS-SOCI: An Agent-Based Simulator of Student Sociograms
Applied Sciences, 2017Co-Authors: Iván García-magariño, Andrés S. Lombas, Inmaculada Plaza, Carlos MedranoAbstract:Sociograms can represent the social relations between students. Some kinds of Sociograms are more suitable than others for achieving a high academic performance of students. However, for now, at the beginning of an educative period, it is not possible to know for sure how the Sociogram of a group of students will be or evolve during a semester or an academic year. In this context, the current approach presents an Agent-Based Simulator (ABS) that predicts the Sociogram of a group of students taking into consideration their psychological profiles, by evolving an initial Sociogram through time. This simulator is referred to as ABS-SOCI (ABS for Sociograms). For instance, this can be useful for organizing class groups for some subjects of engineering grades, anticipating additional learning assistance or testing some teaching strategies. As experimentation, ABS-SOCI has been executed 100 times for each one of four real scenarios. The results show that ABS-SOCI produces Sociograms similar to the real ones considering certain sociometrics. This similarity has been corroborated by statistical binomial tests that check whether there are significant differences between the simulations and the real cases. This experimentation also includes cross-validation and an analysis of sensitivity. ABS-SOCI is free and open-source to (1) ensure the reproducibility of the experiments; (2) to allow practitioners to run simulations; and (3) to allow developers to adapt the simulator for different environments.
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A hybrid approach with agent-based simulation and clustering for Sociograms
Information Sciences, 2016Co-Authors: Iván García-magariño, Andrés S. Lombas, Carlos Medrano, Angel BarrasaAbstract:In the last years, some features of Sociograms have proven to be strongly related to the performance of groups. However, the prediction of Sociograms according to the features of individuals is still an open issue. In particular, the current approach presents a hybrid approach between agent-based simulation and clustering for simulating Sociograms according to the psychological features of their members. This approach performs the clustering extracting certain types of individuals regarding their psychological characteristics, from training data. New people can then be associated with one of the types in order to run a Sociogram simulation. This approach has been implemented with the tool called CLUS-SOCI (an agent-based and CLUStering tool for simulating Sociograms). The current approach has been experienced with real data from four different secondary schools, with 38 real Sociograms involving 714 students. Two thirds of these data were used for training the tool, while the remaining third was used for validating it. In the validation data, the resulting simulated Sociograms were similar to the real ones in terms of cohesion, coherence of reciprocal relations and intensity, according to the binomial test with the correction of Bonferroni.
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FTS-SOCI: An agent-based framework for simulating teaching strategies with evolutions of Sociograms
Simulation Modelling Practice and Theory, 2015Co-Authors: Iván García-magariño, Inmaculada PlazaAbstract:Abstract Teaching strategies have been proven to influence the academic performance of students, as well as group sociometrics have been proven to be directly related to group performance. Although in the literature there are examples of teaching strategies and the resulting Sociograms, there is not any detailed technique, tool or simulator that predicts the influence of a new teaching strategy on group sociometrics. The current work is aimed at covering this gap in the literature, by providing a framework for programming teaching strategies to simulate their influence on group sociometrics. In particular, this framework is called FTS-SOCI (Framework for simulating Teaching Strategies with evolutions of Sociograms). This framework includes an agent-based simulator that simulates the evolution of Sociograms taking five models of the literature into account. In this framework, students and teacher are modelled as agents, and the teacher agent can have any teaching strategy defined by the user. In order to test the current approach, this work simulates existing teaching strategies in (1) nursing education and (2) sport lessons. The resulting Sociograms of FTS-SOCI for these strategies have been compared with the corresponding real Sociograms reported in the literature. This works shows that the group sociometric values provided by FTS-SOCI are quite similar to the real cases. For instance, the mean squared error of the group cohesion sociometric (i.e. IAg metric) is only 0.00024 and 0.00068 respectively for the teaching strategies of both fields.
Dian Kusumaningrum - One of the best experts on this subject based on the ideXlab platform.
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PENGGUNAAN Sociogram UNTUK MENGIDENTIFIKASI POLA JARINGAN SOSIAL PEMBELAJARAN MANDIRI MAHASISWA (Identification of Social Network of Student’s Independent Learning using Sociogram)
2012Co-Authors: Yenni Angraini, Bagus Sartono, Dian KusumaningrumAbstract:This paper presents a useful tool to help universities to increasing the level of their graduate outcome by using the information about social network among students. Such a quantitative tool is a Sociogram which depicts how students interact with others. The graph can be easily generated when the pattern of the connectivity among individuals is known. We apply Sociogram to portray the network of a class of students in Department of Statistics – Bogor Agricultural University which represent the way they interact when they want to discuss the academic related problems. We found some interesting results are practically valuable for the one who is responsible to the study result of the students. Some results are not new, but this approach could provide more informative features than conventional tables or such things. Keywords : Sociogram, social network analysis
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penggunaan Sociogram untuk mengidentifikasi pola jaringan sosial pembelajaran mandiri mahasiswa identification of social network of student s independent learning using Sociogram
FORUM STATISTIKA DAN KOMPUTASI, 2012Co-Authors: Yenni Angraini, Bagus Sartono, Dian KusumaningrumAbstract:This paper presents a useful tool to help universities to increasing the level of their graduate outcome by using the information about social network among students. Such a quantitative tool is a Sociogram which depicts how students interact with others. The graph can be easily generated when the pattern of the connectivity among individuals is known. We apply Sociogram to portray the network of a class of students in Department of Statistics – Bogor Agricultural University which represent the way they interact when they want to discuss the academic related problems. We found some interesting results are practically valuable for the one who is responsible to the study result of the students. Some results are not new, but this approach could provide more informative features than conventional tables or such things. Keywords : Sociogram, social network analysis
Matteo Magnani - One of the best experts on this subject based on the ideXlab platform.
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a generalized force directed layout for multiplex Sociograms
Social Informatics, 2018Co-Authors: Zahra Fatemi, Mostafa Salehi, Matteo MagnaniAbstract:Multiplex networks are defined by the presence of multiple edge types. As a consequence, it is hard to produce a single visualization of a network revealing both the structure of each edge type and their mutual relationships: multiple visualization strategies are possible, depending on how each edge type should influence the position of the nodes in the Sociogram. In this paper we introduce multiforce, a force-directed layout for multiplex networks where both intra-layer and inter-layer relationships among nodes are used to compute node coordinates. Despite its simplicity, our algorithm can reproduce the main existing approaches to draw multiplex Sociograms, and also supports a new intermediate type of layout. Our experiments on real data show that multiforce enables layered visualizations where each layer represents an edge type, nodes are well aligned across layers and the internal layout of each layer highlights the structure of the corresponding edge type.
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SocInfo (1) - A Generalized Force-Directed Layout for Multiplex Sociograms.
Lecture Notes in Computer Science, 2018Co-Authors: Zahra Fatemi, Mostafa Salehi, Matteo MagnaniAbstract:Multiplex networks are defined by the presence of multiple edge types. As a consequence, it is hard to produce a single visualization of a network revealing both the structure of each edge type and their mutual relationships: multiple visualization strategies are possible, depending on how each edge type should influence the position of the nodes in the Sociogram. In this paper we introduce multiforce, a force-directed layout for multiplex networks where both intra-layer and inter-layer relationships among nodes are used to compute node coordinates. Despite its simplicity, our algorithm can reproduce the main existing approaches to draw multiplex Sociograms, and also supports a new intermediate type of layout. Our experiments on real data show that multiforce enables layered visualizations where each layer represents an edge type, nodes are well aligned across layers and the internal layout of each layer highlights the structure of the corresponding edge type.
Angel Barrasa - One of the best experts on this subject based on the ideXlab platform.
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A hybrid approach with agent-based simulation and clustering for Sociograms
Information Sciences, 2016Co-Authors: Iván García-magariño, Andrés S. Lombas, Carlos Medrano, Angel BarrasaAbstract:In the last years, some features of Sociograms have proven to be strongly related to the performance of groups. However, the prediction of Sociograms according to the features of individuals is still an open issue. In particular, the current approach presents a hybrid approach between agent-based simulation and clustering for simulating Sociograms according to the psychological features of their members. This approach performs the clustering extracting certain types of individuals regarding their psychological characteristics, from training data. New people can then be associated with one of the types in order to run a Sociogram simulation. This approach has been implemented with the tool called CLUS-SOCI (an agent-based and CLUStering tool for simulating Sociograms). The current approach has been experienced with real data from four different secondary schools, with 38 real Sociograms involving 714 students. Two thirds of these data were used for training the tool, while the remaining third was used for validating it. In the validation data, the resulting simulated Sociograms were similar to the real ones in terms of cohesion, coherence of reciprocal relations and intensity, according to the binomial test with the correction of Bonferroni.
Peter Eades - One of the best experts on this subject based on the ideXlab platform.
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Effects of Sociogram drawing conventions and edge crossings in social network visualization
Journal of Graph Algorithms and Applications, 2007Co-Authors: Weidong Huang, Seok-hee Hong, Peter EadesAbstract:This paper describes a user study examining the eects of dierent spatial layouts on human Sociogram perception. The study compares the relative eectiveness of ve Sociogram drawing conventions in communicating the underlying network substance, based on task performance and user preference. The impact of edge crossings is also explored by using social network specic tasks. Both quantitative and qualitative methods are employed in the study.
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APVIS - How people read Sociograms: a questionnaire study
2006Co-Authors: Weidong Huang, Seok-hee Hong, Peter EadesAbstract:Visualizing social network data into Sociograms plays an important role in communicating information about network characteristics. Previous studies have shown that human perceptions of network features can be affected by the layout of a Sociogram [McGrath et al. 1996, 1997]. An empirical user study has been conducted to investigate effectiveness of five different network visualization conventions and impact of edge crossings on Sociogram perceptions, using both quantitative performance and preference measures and qualitative questionnaire study. This paper reports results and findings of the questionnaire study. We relate qualitative questionnaire results with quantitative findings and discuss their implications for Sociogram design. We found that subjects had a strong preference of placing nodes on the top or in the center to highlight importance, and clustering nodes in the same group and separating groups to highlight groups. They had tendency to believe that nodes in the center or on the top are more important, and nodes in close proximity belong to the same group. Some preliminary recommendations for Sociogram design and hypotheses about human reading behaviors are proposed.
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Graph Drawing - Layout effects on Sociogram perception
Graph Drawing, 2006Co-Authors: Weidong Huang, Seok-hee Hong, Peter EadesAbstract:This paper describes a within-subjects experiment in which we compare the relative effectiveness of five Sociogram drawing conventions in communicating underlying network substance, based on user task performance and usability preference, in order to examine effects of different spatial layout formats on human Sociogram perception. We also explore the impact of edge crossings, a widely accepted readability aesthetic. Subjective data were gathered based on the methodology of Purchase et al.[14] Objective data were collected through an online system. We found that both edge crossings and conventions pose significant affects on user preference and task performance of finding groups, but either has little impact on the perception of actor status. On the other hand, the node positioning and angular resolution might be more important in perceiving actor status. In visualizing social networks, it is important to note that the techniques that are highly preferred by users do not necessarily lead to best task performance.
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Layout Effects: Comparison of Sociogram Drawing Conventions
2006Co-Authors: Weidong Huang, Seok-hee Hong, Peter EadesAbstract:Abstract: This report describes a within-subjects experiment in which we compare the relative effectiveness of five Sociogram drawing conventions in communicating underlying network substance, based on user task performance and usability preference, in order to examine effects of different spatial layout formats on human Sociogram perception. We also explore the impact of edge crossings, a widely accepted readability aesthetic. Subjective data were gathered based on the methodology of Purchase et al. [2002]. Objective data were collected through an online system. We found that both edge crossings and drawing conventions pose significant affects on user preference and task performance of finding groups, but either has little impact on the perception of actor status. On the other hand, the node positioning and angular resolution might be more important in perceiving actor status. In visualising social networks, it is important to note that the techniques that are highly preferred by users do not necessarily lead to best task performance.
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Layout effects on Sociogram perception
Lecture Notes in Computer Science, 2005Co-Authors: Weidong Huang, Seok-hee Hong, Peter EadesAbstract:This paper describes a within-subjects experiment in which we compare the relative effectiveness of five Sociogram drawing conventions in communicating underlying network substance, based on user task performance and usability preference, in order to examine effects of different spatial layout formats on human Sociogram perception. We also explore the impact of edge crossings, a widely accepted readability aesthetic. Subjective data were gathered based on the methodology of Purchase et al. [14]. Objective data were collected through an online system. We found that both edge crossings and conventions pose significant affects on user preference and task performance of finding groups, but either has little impact on the perception of actor status. On the other hand, the node positioning and angular resolution might be more important in perceiving actor status. In visualizing social networks, it is important to note that the techniques that are highly preferred by users do not necessarily lead to best task performance.