2014 IEEE International Conference on Big Data (Big Data), 2014
How can we use computational analysis and visualization of content and interactions on social med... more How can we use computational analysis and visualization of content and interactions on social media network to write histories? Traditionally, historical timelines of social and political upheavals give us only distant views of the events, and singular interpretation of a person constructing the timeline. However, using social media as our source, we can potentially present many thousands of individual views of the events. We can also include representation of the everyday life next to the accounts of the exceptional events. This paper explores these ideas using a particular case study-images shared by people in Kiev on Instagram during 2014 Ukranian Revolution. Using Instagram public API we collected 13208 geo-coded images shared by 6165 Instagram users in the central part of Kiev during February 17-22, 2014. We used open source and our own custom software tools to analyze the images along with upload dates and times, geo locations, and tags, and visualize them in different ways.
Elastin is an intriguing extracellular matrix protein present in all connective tissues of verteb... more Elastin is an intriguing extracellular matrix protein present in all connective tissues of vertebrates, rendering essential elasticity to connective tissues subjected to repeated physiological stresses. Using piezoresponse force microscopy, we show that the polarity of aortic elastin is switchable by an electrical field, which may be associated with the recently discovered biological ferroelectricity in the aorta. More interestingly, it is discovered that the switching in aortic elastin is largely suppressed by glucose treatment, which appears to freeze the internal asymmetric polar structures of elastin, making it much harder to switch, or suppressing the switching completely. Such loss of ferroelectricity could have important physiological and pathological implications from aging to arteriosclerosis that are closely related to glycation of elastin.
One of the main questions in the humanities is how cultures and artistic expressions change over ... more One of the main questions in the humanities is how cultures and artistic expressions change over time. While a number of researchers have used quantitative computational methods to study historical changes in literature, music, and cinema, our paper offers the first quantitative analysis of historical changes in visual art created by users of a social online network. We propose a number of computational methods for the analysis of temporal development of art images. We then apply these methods to a sample of 270,000 artworks created between 2001 and 2010 by users of the largest social network for art—DeviantArt (www.deviantart.com). We investigate changes in subjects, techniques, sizes, proportions and also selected visual characteristics of images. Because these artworks are classified by their creators into two general categories—Traditional Art and Digital Art—we are also able to investigate if the use of digital tools has had a significant effect on the content and form of artwo...
Big Humanities Data Workshop, The Second IEEE Big Data 2014 Conference, 2014
How can we use computational analysis and visualization of content and interactions on social med... more How can we use computational analysis and visualization of content and interactions on social media network to write histories? Traditionally, historical timelines of social and
political upheavals give us only distant views of the events, and singular interpretation of a person constructing the timeline.
However, using social media as our source, we can potentially present many thousands of individual views of the events. We can also include representation of the everyday life next to the accounts of the exceptional events. This paper explores these ideas using a particular case study – images shared by people in Kiev on Instagram during 2014 Ukranian Revolution.
PATCH 2012 - Proceedings of the 2012 ACM Workshop on Personalized Access to Cultural Heritage, Co-located with ACM Multimedia 2012, 2012
In this paper we visually explore the data structure of two different visual platforms: the datab... more In this paper we visually explore the data structure of two different visual platforms: the database behind the social environment of a social networking site, and the intricate infrastructure of a research institute for preservation of deposited datasets. We argue that visual analytics of metadata of collections can be used in multiple ways: for the backend users, to inform the archive about structure and growth of its collection; to foster collection strategies; and to check metadata consistency, for the end-users, to give an overview to the collections, and thus to generate more awareness of the collection and its metadata, to give the enduser extra information to contextualize the entirety of the archive. We conclude with a discussion on how text based search combined with different type of visually enhanced browsing improves data access, navigation, and reuse in these two radically different contexts.
Humanities and social sciences require new research approaches to deal with and to benefit from t... more Humanities and social sciences require new research approaches to deal with and to benefit from the explosion of digital media. Thanks to large scale data storage and processing, close reading of individual items can be supplemented with analysis of broader trends from massive amounts of data. Cultural Analytics (CA) is a recently developed methodology for the exploration of content and visual form in large image and video collections. It has already been applied to a variety of media types, including TV programs, feature films, newspapers, and video games. However, until now these applications did not take into account the social context of media. In many cases, media artifacts under scrutiny are generated or used by people in a social setting, either in forms of (digital) communities, or in terms of social relations, which can be also analyzed as a valuable source of information. Social network analysis (SNA) is a set of methods for the analysis of human networks, including massive online social networks. In this article, we argue that CA and SNA can be combined synergistically, using data and images from deviantArt, the leading online network of user-created art, as a case study.
2014 IEEE International Conference on Big Data (Big Data), 2014
How can we use computational analysis and visualization of content and interactions on social med... more How can we use computational analysis and visualization of content and interactions on social media network to write histories? Traditionally, historical timelines of social and political upheavals give us only distant views of the events, and singular interpretation of a person constructing the timeline. However, using social media as our source, we can potentially present many thousands of individual views of the events. We can also include representation of the everyday life next to the accounts of the exceptional events. This paper explores these ideas using a particular case study -images shared by people in Kiev on Instagram during 2014 Ukranian Revolution. Using Instagram public API we collected 13208 geo-coded images shared by 6165 Instagram users in the central part of Kiev during February 17-22, 2014. We used open source and our own custom software tools to analyze the images along with upload dates and times, geo locations, and tags, and visualize them in different ways.
How can we use computational analysis and visualization of content and interactions on social med... more How can we use computational analysis and visualization of content and interactions on social media network to write histories? Traditionally, historical timelines of social and political upheavals give us only distant views of the events, and singular interpretation of a person constructing the timeline. However, using social media as our source, we can potentially present many thousands of individual views of the events. We can also include representation of the everyday life next to the accounts of the exceptional events. This paper explores these ideas using a particular case study – images shared by people in Kyiv on Instagram during 2014 Ukrainian Revolution. Using Instagram public API we collected 13208 geo-coded images shared by 6165 Instagram users in the central part of Kyiv during February 17-22, 2014. We used open source and our own custom software tools to analyze the images along with upload dates and times, geo locations, and tags, and visualize them in different ways.
2014 IEEE International Conference on Big Data (Big Data), 2014
How can we use computational analysis and visualization of content and interactions on social med... more How can we use computational analysis and visualization of content and interactions on social media network to write histories? Traditionally, historical timelines of social and political upheavals give us only distant views of the events, and singular interpretation of a person constructing the timeline. However, using social media as our source, we can potentially present many thousands of individual views of the events. We can also include representation of the everyday life next to the accounts of the exceptional events. This paper explores these ideas using a particular case study-images shared by people in Kiev on Instagram during 2014 Ukranian Revolution. Using Instagram public API we collected 13208 geo-coded images shared by 6165 Instagram users in the central part of Kiev during February 17-22, 2014. We used open source and our own custom software tools to analyze the images along with upload dates and times, geo locations, and tags, and visualize them in different ways.
Elastin is an intriguing extracellular matrix protein present in all connective tissues of verteb... more Elastin is an intriguing extracellular matrix protein present in all connective tissues of vertebrates, rendering essential elasticity to connective tissues subjected to repeated physiological stresses. Using piezoresponse force microscopy, we show that the polarity of aortic elastin is switchable by an electrical field, which may be associated with the recently discovered biological ferroelectricity in the aorta. More interestingly, it is discovered that the switching in aortic elastin is largely suppressed by glucose treatment, which appears to freeze the internal asymmetric polar structures of elastin, making it much harder to switch, or suppressing the switching completely. Such loss of ferroelectricity could have important physiological and pathological implications from aging to arteriosclerosis that are closely related to glycation of elastin.
One of the main questions in the humanities is how cultures and artistic expressions change over ... more One of the main questions in the humanities is how cultures and artistic expressions change over time. While a number of researchers have used quantitative computational methods to study historical changes in literature, music, and cinema, our paper offers the first quantitative analysis of historical changes in visual art created by users of a social online network. We propose a number of computational methods for the analysis of temporal development of art images. We then apply these methods to a sample of 270,000 artworks created between 2001 and 2010 by users of the largest social network for art—DeviantArt (www.deviantart.com). We investigate changes in subjects, techniques, sizes, proportions and also selected visual characteristics of images. Because these artworks are classified by their creators into two general categories—Traditional Art and Digital Art—we are also able to investigate if the use of digital tools has had a significant effect on the content and form of artwo...
Big Humanities Data Workshop, The Second IEEE Big Data 2014 Conference, 2014
How can we use computational analysis and visualization of content and interactions on social med... more How can we use computational analysis and visualization of content and interactions on social media network to write histories? Traditionally, historical timelines of social and
political upheavals give us only distant views of the events, and singular interpretation of a person constructing the timeline.
However, using social media as our source, we can potentially present many thousands of individual views of the events. We can also include representation of the everyday life next to the accounts of the exceptional events. This paper explores these ideas using a particular case study – images shared by people in Kiev on Instagram during 2014 Ukranian Revolution.
PATCH 2012 - Proceedings of the 2012 ACM Workshop on Personalized Access to Cultural Heritage, Co-located with ACM Multimedia 2012, 2012
In this paper we visually explore the data structure of two different visual platforms: the datab... more In this paper we visually explore the data structure of two different visual platforms: the database behind the social environment of a social networking site, and the intricate infrastructure of a research institute for preservation of deposited datasets. We argue that visual analytics of metadata of collections can be used in multiple ways: for the backend users, to inform the archive about structure and growth of its collection; to foster collection strategies; and to check metadata consistency, for the end-users, to give an overview to the collections, and thus to generate more awareness of the collection and its metadata, to give the enduser extra information to contextualize the entirety of the archive. We conclude with a discussion on how text based search combined with different type of visually enhanced browsing improves data access, navigation, and reuse in these two radically different contexts.
Humanities and social sciences require new research approaches to deal with and to benefit from t... more Humanities and social sciences require new research approaches to deal with and to benefit from the explosion of digital media. Thanks to large scale data storage and processing, close reading of individual items can be supplemented with analysis of broader trends from massive amounts of data. Cultural Analytics (CA) is a recently developed methodology for the exploration of content and visual form in large image and video collections. It has already been applied to a variety of media types, including TV programs, feature films, newspapers, and video games. However, until now these applications did not take into account the social context of media. In many cases, media artifacts under scrutiny are generated or used by people in a social setting, either in forms of (digital) communities, or in terms of social relations, which can be also analyzed as a valuable source of information. Social network analysis (SNA) is a set of methods for the analysis of human networks, including massive online social networks. In this article, we argue that CA and SNA can be combined synergistically, using data and images from deviantArt, the leading online network of user-created art, as a case study.
2014 IEEE International Conference on Big Data (Big Data), 2014
How can we use computational analysis and visualization of content and interactions on social med... more How can we use computational analysis and visualization of content and interactions on social media network to write histories? Traditionally, historical timelines of social and political upheavals give us only distant views of the events, and singular interpretation of a person constructing the timeline. However, using social media as our source, we can potentially present many thousands of individual views of the events. We can also include representation of the everyday life next to the accounts of the exceptional events. This paper explores these ideas using a particular case study -images shared by people in Kiev on Instagram during 2014 Ukranian Revolution. Using Instagram public API we collected 13208 geo-coded images shared by 6165 Instagram users in the central part of Kiev during February 17-22, 2014. We used open source and our own custom software tools to analyze the images along with upload dates and times, geo locations, and tags, and visualize them in different ways.
How can we use computational analysis and visualization of content and interactions on social med... more How can we use computational analysis and visualization of content and interactions on social media network to write histories? Traditionally, historical timelines of social and political upheavals give us only distant views of the events, and singular interpretation of a person constructing the timeline. However, using social media as our source, we can potentially present many thousands of individual views of the events. We can also include representation of the everyday life next to the accounts of the exceptional events. This paper explores these ideas using a particular case study – images shared by people in Kyiv on Instagram during 2014 Ukrainian Revolution. Using Instagram public API we collected 13208 geo-coded images shared by 6165 Instagram users in the central part of Kyiv during February 17-22, 2014. We used open source and our own custom software tools to analyze the images along with upload dates and times, geo locations, and tags, and visualize them in different ways.
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Papers by Jay Chow
political upheavals give us only distant views of the events, and singular interpretation of a person constructing the timeline.
However, using social media as our source, we can potentially present many thousands of individual views of the events. We can also include representation of the everyday life next to the accounts of the exceptional events. This paper explores these ideas using a particular case study – images shared by people in Kiev on Instagram during 2014 Ukranian Revolution.
Articles by Jay Chow
political upheavals give us only distant views of the events, and singular interpretation of a person constructing the timeline.
However, using social media as our source, we can potentially present many thousands of individual views of the events. We can also include representation of the everyday life next to the accounts of the exceptional events. This paper explores these ideas using a particular case study – images shared by people in Kiev on Instagram during 2014 Ukranian Revolution.