The Experts below are selected from a list of 285 Experts worldwide ranked by ideXlab platform
Jon G Rokne - One of the best experts on this subject based on the ideXlab platform.
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Counterterrorism and Open Source Intelligence - A Global Measure for Estimating the Degree of Organization and Effectiveness of Individual Actors with Application to Terrorist Networks
Lecture Notes in Social Networks, 2011Co-Authors: Sara Aghakhani, Khaled Dawoud, Reda Alhajj, Jon G RokneAbstract:The motivation for the study described in this paper is realizing the fact that Organizational structure of a group and critical members of the group are key indicators in determining its strengths and weaknesses. For instance, a general knowledge of the prevalent models of terrorist Organizations leads to a better understanding of their capabilities. Though the framework is general, this chapter focuses more on terrorist networks; it is divided in two parts. The first part describes a novel approach for extracting structural patterns of terrorist networks with the help of social network analysis (SNA) measurements and techniques. A global Organization measure (Org) is proposed in order to estimate the Degree of Organization of a social network. The second part contains a new approach which helps to find the group of the most influential people within the terrorist networks. To achieve this target, we utilize SNA measurements and techniques. The importance of such research comes from the fact that individuals in organized intellectual networks and especially terrorist networks tend to hide their individual roles and also, a general knowledge of the prevalent models of terrorist Organizations leads to a better understanding of their capabilities. As a result, we argue the need to consider such networks as a whole and at the individuals’ level for discovering the Degree of Organization with its strengths and weaknesses. The reported test results demonstrate the applicability and effectiveness of the analysis as depicted in the proposed framework.
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a global measure for estimating the Degree of Organization and effectiveness of individual actors with application to terrorist networks
Counterterrorism and Open Source Intelligence, 2011Co-Authors: Sara Aghakhani, Khaled Dawoud, Reda Alhajj, Jon G RokneAbstract:The motivation for the study described in this paper is realizing the fact that Organizational structure of a group and critical members of the group are key indicators in determining its strengths and weaknesses. For instance, a general knowledge of the prevalent models of terrorist Organizations leads to a better understanding of their capabilities. Though the framework is general, this chapter focuses more on terrorist networks; it is divided in two parts. The first part describes a novel approach for extracting structural patterns of terrorist networks with the help of social network analysis (SNA) measurements and techniques. A global Organization measure (Org) is proposed in order to estimate the Degree of Organization of a social network. The second part contains a new approach which helps to find the group of the most influential people within the terrorist networks. To achieve this target, we utilize SNA measurements and techniques. The importance of such research comes from the fact that individuals in organized intellectual networks and especially terrorist networks tend to hide their individual roles and also, a general knowledge of the prevalent models of terrorist Organizations leads to a better understanding of their capabilities. As a result, we argue the need to consider such networks as a whole and at the individuals’ level for discovering the Degree of Organization with its strengths and weaknesses. The reported test results demonstrate the applicability and effectiveness of the analysis as depicted in the proposed framework.
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a global measure for estimating the Degree of Organization of terrorist networks
Advances in Social Networks Analysis and Mining, 2010Co-Authors: Khaled Dawoud, Reda Alhajj, Jon G RokneAbstract:The motivation for the study described in this paper is realizing the fact that Organizational structure of a group is a key indicator in determining its strengths and weaknesses. A general knowledge of the prevalent models of terrorist Organizations leads to a better understanding of their capabilities. Knowledge of the different labels and systems of classification that have been applied to groups and individuals aid us in discarding useless or irrelevant terms, and in understanding the purposes and usefulness of different terminologies. Previous studies in network analysis have mostly dealt with legal networks with transparent structures. Terrorist networks share some features with conventional (real world) networks, but they are harder to identify because they mostly hide their illicit activities. In this paper we describe a novel approach for extracting structural patterns of terrorist networks with the help of social network analysis measures and techniques. We propose a global measure for estimating the Degree of Organization of social networks; the measure is global in terms of being applied to the whole network as an entity and being extracted from the major well-known SNA measures. The importance of such research comes from the fact that individuals in organized intellectual networks and especially terrorist networks tend to hide their individual rules and thus there is a need to deal with such networks as a whole, discovering the Degree of Organization and thus its strengths and weaknesses.
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ASONAM - A Global Measure for Estimating the Degree of Organization of Terrorist Networks
2010 International Conference on Advances in Social Networks Analysis and Mining, 2010Co-Authors: Khaled Dawoud, Reda Alhajj, Jon G RokneAbstract:The motivation for the study described in this paper is realizing the fact that Organizational structure of a group is a key indicator in determining its strengths and weaknesses. A general knowledge of the prevalent models of terrorist Organizations leads to a better understanding of their capabilities. Knowledge of the different labels and systems of classification that have been applied to groups and individuals aid us in discarding useless or irrelevant terms, and in understanding the purposes and usefulness of different terminologies. Previous studies in network analysis have mostly dealt with legal networks with transparent structures. Terrorist networks share some features with conventional (real world) networks, but they are harder to identify because they mostly hide their illicit activities. In this paper we describe a novel approach for extracting structural patterns of terrorist networks with the help of social network analysis measures and techniques. We propose a global measure for estimating the Degree of Organization of social networks; the measure is global in terms of being applied to the whole network as an entity and being extracted from the major well-known SNA measures. The importance of such research comes from the fact that individuals in organized intellectual networks and especially terrorist networks tend to hide their individual rules and thus there is a need to deal with such networks as a whole, discovering the Degree of Organization and thus its strengths and weaknesses.
Daku Y Siewe - One of the best experts on this subject based on the ideXlab platform.
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radially aligned electrospun nanofibers as dural substitutes for wound closure and tissue regeneration applications
ACS Nano, 2010Co-Authors: Jingwei Xie, Matthew R Macewan, Wilson Z Ray, Wenying Liu, Daku Y Siewe, Younan XiaAbstract:This paper reports the fabrication of scaffolds consisting of radially aligned poly(e-caprolactone) nanofibers by utilizing a collector composed of a central point electrode and a peripheral ring electrode. This novel class of scaffolds was able to present nanoscale topographic cues to cultured cells, directing and enhancing their migration from the periphery to the center. We also established that such scaffolds could induce faster cellular migration and population than nonwoven mats consisting of random nanofibers. Dural fibroblast cells cultured on these two types of scaffolds were found to express type I collagen, the main extracellular matrix component in dural mater. The type I collagen exhibited a high Degree of Organization on the scaffolds of radially aligned fibers and a haphazard distribution on the scaffolds of random fibers. Taken together, the scaffolds based on radially aligned, electrospun nanofibers show great potential as artificial dural substitutes and may be particularly useful as biomedical patches or grafts to induce wound closure and/or tissue regeneration.
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radially aligned electrospun nanofibers as dural substitutes for wound closure and tissue regeneration applications
ACS Nano, 2010Co-Authors: Matthew R Macewan, Daku Y SieweAbstract:This paper reports the fabrication of scaffolds consisting of radially aligned poly(e-caprolactone) nanofibers by utilizing a collector composed of a central point electrode and a peripheral ring electrode. This novel class of scaffolds was able to present nanoscale topographic cues to cultured cells, directing and enhancing their migration from the periphery to the center. We also established that such scaffolds could induce faster cellular migration and population than nonwoven mats consisting of random nanofibers. Dural fibroblast cells cultured on these two types of scaffolds were found to express type I collagen, the main extracellular matrix component in dural mater. The type I collagen exhibited a high Degree of Organization on the scaffolds of radially aligned fibers and a haphazard distribution on the scaffolds of random fibers. Taken together, the scaffolds based on radially aligned, electrospun nanofibers show great potential as artificial dural substitutes and may be particularly useful as bio...
Younan Xia - One of the best experts on this subject based on the ideXlab platform.
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radially aligned electrospun nanofibers as dural substitutes for wound closure and tissue regeneration applications
ACS Nano, 2010Co-Authors: Jingwei Xie, Matthew R Macewan, Wilson Z Ray, Wenying Liu, Daku Y Siewe, Younan XiaAbstract:This paper reports the fabrication of scaffolds consisting of radially aligned poly(e-caprolactone) nanofibers by utilizing a collector composed of a central point electrode and a peripheral ring electrode. This novel class of scaffolds was able to present nanoscale topographic cues to cultured cells, directing and enhancing their migration from the periphery to the center. We also established that such scaffolds could induce faster cellular migration and population than nonwoven mats consisting of random nanofibers. Dural fibroblast cells cultured on these two types of scaffolds were found to express type I collagen, the main extracellular matrix component in dural mater. The type I collagen exhibited a high Degree of Organization on the scaffolds of radially aligned fibers and a haphazard distribution on the scaffolds of random fibers. Taken together, the scaffolds based on radially aligned, electrospun nanofibers show great potential as artificial dural substitutes and may be particularly useful as biomedical patches or grafts to induce wound closure and/or tissue regeneration.
Khaled Dawoud - One of the best experts on this subject based on the ideXlab platform.
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Counterterrorism and Open Source Intelligence - A Global Measure for Estimating the Degree of Organization and Effectiveness of Individual Actors with Application to Terrorist Networks
Lecture Notes in Social Networks, 2011Co-Authors: Sara Aghakhani, Khaled Dawoud, Reda Alhajj, Jon G RokneAbstract:The motivation for the study described in this paper is realizing the fact that Organizational structure of a group and critical members of the group are key indicators in determining its strengths and weaknesses. For instance, a general knowledge of the prevalent models of terrorist Organizations leads to a better understanding of their capabilities. Though the framework is general, this chapter focuses more on terrorist networks; it is divided in two parts. The first part describes a novel approach for extracting structural patterns of terrorist networks with the help of social network analysis (SNA) measurements and techniques. A global Organization measure (Org) is proposed in order to estimate the Degree of Organization of a social network. The second part contains a new approach which helps to find the group of the most influential people within the terrorist networks. To achieve this target, we utilize SNA measurements and techniques. The importance of such research comes from the fact that individuals in organized intellectual networks and especially terrorist networks tend to hide their individual roles and also, a general knowledge of the prevalent models of terrorist Organizations leads to a better understanding of their capabilities. As a result, we argue the need to consider such networks as a whole and at the individuals’ level for discovering the Degree of Organization with its strengths and weaknesses. The reported test results demonstrate the applicability and effectiveness of the analysis as depicted in the proposed framework.
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a global measure for estimating the Degree of Organization and effectiveness of individual actors with application to terrorist networks
Counterterrorism and Open Source Intelligence, 2011Co-Authors: Sara Aghakhani, Khaled Dawoud, Reda Alhajj, Jon G RokneAbstract:The motivation for the study described in this paper is realizing the fact that Organizational structure of a group and critical members of the group are key indicators in determining its strengths and weaknesses. For instance, a general knowledge of the prevalent models of terrorist Organizations leads to a better understanding of their capabilities. Though the framework is general, this chapter focuses more on terrorist networks; it is divided in two parts. The first part describes a novel approach for extracting structural patterns of terrorist networks with the help of social network analysis (SNA) measurements and techniques. A global Organization measure (Org) is proposed in order to estimate the Degree of Organization of a social network. The second part contains a new approach which helps to find the group of the most influential people within the terrorist networks. To achieve this target, we utilize SNA measurements and techniques. The importance of such research comes from the fact that individuals in organized intellectual networks and especially terrorist networks tend to hide their individual roles and also, a general knowledge of the prevalent models of terrorist Organizations leads to a better understanding of their capabilities. As a result, we argue the need to consider such networks as a whole and at the individuals’ level for discovering the Degree of Organization with its strengths and weaknesses. The reported test results demonstrate the applicability and effectiveness of the analysis as depicted in the proposed framework.
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a global measure for estimating the Degree of Organization of terrorist networks
Advances in Social Networks Analysis and Mining, 2010Co-Authors: Khaled Dawoud, Reda Alhajj, Jon G RokneAbstract:The motivation for the study described in this paper is realizing the fact that Organizational structure of a group is a key indicator in determining its strengths and weaknesses. A general knowledge of the prevalent models of terrorist Organizations leads to a better understanding of their capabilities. Knowledge of the different labels and systems of classification that have been applied to groups and individuals aid us in discarding useless or irrelevant terms, and in understanding the purposes and usefulness of different terminologies. Previous studies in network analysis have mostly dealt with legal networks with transparent structures. Terrorist networks share some features with conventional (real world) networks, but they are harder to identify because they mostly hide their illicit activities. In this paper we describe a novel approach for extracting structural patterns of terrorist networks with the help of social network analysis measures and techniques. We propose a global measure for estimating the Degree of Organization of social networks; the measure is global in terms of being applied to the whole network as an entity and being extracted from the major well-known SNA measures. The importance of such research comes from the fact that individuals in organized intellectual networks and especially terrorist networks tend to hide their individual rules and thus there is a need to deal with such networks as a whole, discovering the Degree of Organization and thus its strengths and weaknesses.
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ASONAM - A Global Measure for Estimating the Degree of Organization of Terrorist Networks
2010 International Conference on Advances in Social Networks Analysis and Mining, 2010Co-Authors: Khaled Dawoud, Reda Alhajj, Jon G RokneAbstract:The motivation for the study described in this paper is realizing the fact that Organizational structure of a group is a key indicator in determining its strengths and weaknesses. A general knowledge of the prevalent models of terrorist Organizations leads to a better understanding of their capabilities. Knowledge of the different labels and systems of classification that have been applied to groups and individuals aid us in discarding useless or irrelevant terms, and in understanding the purposes and usefulness of different terminologies. Previous studies in network analysis have mostly dealt with legal networks with transparent structures. Terrorist networks share some features with conventional (real world) networks, but they are harder to identify because they mostly hide their illicit activities. In this paper we describe a novel approach for extracting structural patterns of terrorist networks with the help of social network analysis measures and techniques. We propose a global measure for estimating the Degree of Organization of social networks; the measure is global in terms of being applied to the whole network as an entity and being extracted from the major well-known SNA measures. The importance of such research comes from the fact that individuals in organized intellectual networks and especially terrorist networks tend to hide their individual rules and thus there is a need to deal with such networks as a whole, discovering the Degree of Organization and thus its strengths and weaknesses.
Matthew R Macewan - One of the best experts on this subject based on the ideXlab platform.
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radially aligned electrospun nanofibers as dural substitutes for wound closure and tissue regeneration applications
ACS Nano, 2010Co-Authors: Jingwei Xie, Matthew R Macewan, Wilson Z Ray, Wenying Liu, Daku Y Siewe, Younan XiaAbstract:This paper reports the fabrication of scaffolds consisting of radially aligned poly(e-caprolactone) nanofibers by utilizing a collector composed of a central point electrode and a peripheral ring electrode. This novel class of scaffolds was able to present nanoscale topographic cues to cultured cells, directing and enhancing their migration from the periphery to the center. We also established that such scaffolds could induce faster cellular migration and population than nonwoven mats consisting of random nanofibers. Dural fibroblast cells cultured on these two types of scaffolds were found to express type I collagen, the main extracellular matrix component in dural mater. The type I collagen exhibited a high Degree of Organization on the scaffolds of radially aligned fibers and a haphazard distribution on the scaffolds of random fibers. Taken together, the scaffolds based on radially aligned, electrospun nanofibers show great potential as artificial dural substitutes and may be particularly useful as biomedical patches or grafts to induce wound closure and/or tissue regeneration.
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radially aligned electrospun nanofibers as dural substitutes for wound closure and tissue regeneration applications
ACS Nano, 2010Co-Authors: Matthew R Macewan, Daku Y SieweAbstract:This paper reports the fabrication of scaffolds consisting of radially aligned poly(e-caprolactone) nanofibers by utilizing a collector composed of a central point electrode and a peripheral ring electrode. This novel class of scaffolds was able to present nanoscale topographic cues to cultured cells, directing and enhancing their migration from the periphery to the center. We also established that such scaffolds could induce faster cellular migration and population than nonwoven mats consisting of random nanofibers. Dural fibroblast cells cultured on these two types of scaffolds were found to express type I collagen, the main extracellular matrix component in dural mater. The type I collagen exhibited a high Degree of Organization on the scaffolds of radially aligned fibers and a haphazard distribution on the scaffolds of random fibers. Taken together, the scaffolds based on radially aligned, electrospun nanofibers show great potential as artificial dural substitutes and may be particularly useful as bio...