Extraction of Multilayered Social Networks from Activity Data
The data gathered in all kinds of web-based systems, which enable users to interact with each other, provides an opportunity to extract social networks that consist of people and relationships between them. The emerging structures are very complex due to the number and type of discovered connections...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/359868 |
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| author | Katarzyna Musial Piotr Bródka Przemysław Kazienko Jarosław Gaworecki |
| author_facet | Katarzyna Musial Piotr Bródka Przemysław Kazienko Jarosław Gaworecki |
| author_sort | Katarzyna Musial |
| collection | DOAJ |
| description | The data gathered in all kinds of web-based systems, which enable users to interact with each other, provides an opportunity to extract social networks that consist of people and relationships between them. The emerging structures are very complex due to the number and type of discovered connections. In web-based systems, the characteristic element of each interaction between users is that there is always an object that serves as a communication medium. This can be, for example, an e-mail sent from one user to another or post at the forum authored by one user and commented on by others. Based on these objects and activities that users perform towards them, different kinds of relationships can be identified and extracted. Additional challenge arises from the fact that hierarchies can exist between objects; for example, a forum consists of one or more groups of topics, and each of them contains topics that finally include posts. In this paper, we propose a new method for creation of multilayered social network based on the data about users activities towards different types of objects between which the hierarchy exists. Due to the flattening, preprocessing procedure of new layers and new relationships in the multilayered social network can be identified and analysed. |
| format | Article |
| id | doaj-art-eab3146983984051b08065abfe0857d9 |
| institution | DOAJ |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-eab3146983984051b08065abfe0857d92025-08-20T03:20:40ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/359868359868Extraction of Multilayered Social Networks from Activity DataKatarzyna Musial0Piotr Bródka1Przemysław Kazienko2Jarosław Gaworecki3School of Natural and Mathematical Sciences, Department of Informatics, King’s College London, London WC2R 2LS, UKInstitute of Informatics, Wrocław University of Technology, Wyb. Wyspiánskiego 27, 50-370 Wrocław, PolandInstitute of Informatics, Wrocław University of Technology, Wyb. Wyspiánskiego 27, 50-370 Wrocław, PolandResearch & Engineering Center Sp. z o.o., Ulica Strzegomska 46B, 53-611 Wrocław, PolandThe data gathered in all kinds of web-based systems, which enable users to interact with each other, provides an opportunity to extract social networks that consist of people and relationships between them. The emerging structures are very complex due to the number and type of discovered connections. In web-based systems, the characteristic element of each interaction between users is that there is always an object that serves as a communication medium. This can be, for example, an e-mail sent from one user to another or post at the forum authored by one user and commented on by others. Based on these objects and activities that users perform towards them, different kinds of relationships can be identified and extracted. Additional challenge arises from the fact that hierarchies can exist between objects; for example, a forum consists of one or more groups of topics, and each of them contains topics that finally include posts. In this paper, we propose a new method for creation of multilayered social network based on the data about users activities towards different types of objects between which the hierarchy exists. Due to the flattening, preprocessing procedure of new layers and new relationships in the multilayered social network can be identified and analysed.http://dx.doi.org/10.1155/2014/359868 |
| spellingShingle | Katarzyna Musial Piotr Bródka Przemysław Kazienko Jarosław Gaworecki Extraction of Multilayered Social Networks from Activity Data The Scientific World Journal |
| title | Extraction of Multilayered Social Networks from Activity Data |
| title_full | Extraction of Multilayered Social Networks from Activity Data |
| title_fullStr | Extraction of Multilayered Social Networks from Activity Data |
| title_full_unstemmed | Extraction of Multilayered Social Networks from Activity Data |
| title_short | Extraction of Multilayered Social Networks from Activity Data |
| title_sort | extraction of multilayered social networks from activity data |
| url | http://dx.doi.org/10.1155/2014/359868 |
| work_keys_str_mv | AT katarzynamusial extractionofmultilayeredsocialnetworksfromactivitydata AT piotrbrodka extractionofmultilayeredsocialnetworksfromactivitydata AT przemysławkazienko extractionofmultilayeredsocialnetworksfromactivitydata AT jarosławgaworecki extractionofmultilayeredsocialnetworksfromactivitydata |