Presentation | 2010-11-19 Characteristics and Behaviors of Humans in Hop-by-Hop Information Propagation over Social Networks Yoshinori TAKATA, Ryoichi SHINKUMA, Naoki YOSHINAGA, Satoko ITAYA, Shinichi DOI, Keiji YAMADA, Tatsuro TAKAHASHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Human characters are important in understanding human behaviors in information distribution on social networks. To analyze how the characters of people affect their behaviors there, we have developed a social experiment, in which we observed communication logs of people in five communities and surveyed their characters using questionnaires. In this paper, we first review our mathematical model and our social experiment system. Then, we explain our observation from the multiple correspondence analysis. The result tells us that the dominant factors in information distribution on social networks are the psychological cost people feel when they react to received information and the utility they feel when they receive comments from the forwarders who are their friends. Moreover, we observed that people tend to forward information to their friends who are expected to feel small psychological cost to react the received information or large utility for feed forward comments from their friends. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Hop-by-hop information propagation / Social networks / Incentive reward allocation / Receivers' reactions / Multiple Correspondence Analysis |
Paper # | CQ2010-62 |
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Committee | CQ |
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Conference Date | 2010/11/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Communication Quality (CQ) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Characteristics and Behaviors of Humans in Hop-by-Hop Information Propagation over Social Networks |
Sub Title (in English) | |
Keyword(1) | Hop-by-hop information propagation |
Keyword(2) | Social networks |
Keyword(3) | Incentive reward allocation |
Keyword(4) | Receivers' reactions |
Keyword(5) | Multiple Correspondence Analysis |
1st Author's Name | Yoshinori TAKATA |
1st Author's Affiliation | Graduate School of Informatics, Kyoto University() |
2nd Author's Name | Ryoichi SHINKUMA |
2nd Author's Affiliation | Graduate School of Informatics, Kyoto University |
3rd Author's Name | Naoki YOSHINAGA |
3rd Author's Affiliation | NEC C&C Innovation Research Laboratories, Japan |
4th Author's Name | Satoko ITAYA |
4th Author's Affiliation | NEC C&C Innovation Research Laboratories, Japan |
5th Author's Name | Shinichi DOI |
5th Author's Affiliation | NEC C&C Innovation Research Laboratories, Japan |
6th Author's Name | Keiji YAMADA |
6th Author's Affiliation | NEC C&C Innovation Research Laboratories, Japan |
7th Author's Name | Tatsuro TAKAHASHI |
7th Author's Affiliation | Graduate School of Informatics, Kyoto University |
Date | 2010-11-19 |
Paper # | CQ2010-62 |
Volume (vol) | vol.110 |
Number (no) | 287 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |