An empirical analysis on the behavioral differentia of the “Elite-Civilian” users in Sina microblog
The human dynamics of online social networks have been studied broadly. However, few works have been done on the behavioral differentia of different categories of users. In this paper, we analyze the user characteristics and post behaviors from the aspect of “Elite”(verified users) and “Civilian”(un...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Li, Kai [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020transfer abstract |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Effects of psychiatric disorders on ultrasound measurements and adverse perinatal outcomes in Chinese pregnant women: A ten-year retrospective cohort study - Dai, Jiamiao ELSEVIER, 2022, europhysics journal, Amsterdam |
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| Übergeordnetes Werk: |
volume:539 ; year:2020 ; day:1 ; month:02 ; pages:0 |
| Links: |
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| DOI / URN: |
10.1016/j.physa.2019.122974 |
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| 520 | |a The human dynamics of online social networks have been studied broadly. However, few works have been done on the behavioral differentia of different categories of users. In this paper, we analyze the user characteristics and post behaviors from the aspect of “Elite”(verified users) and “Civilian”(unverified users) in Sina microblog. We find the follower number distribution of elite users does not fit power law while civilian users’ fits. We also find the civilian users need to be more diligent than elite users to maintain the same level of influence. Besides, there is a linear correlation between users’ influence and post behavior when influence is relatively low. And the inter-tweeting time distributions of the two categories of users have significant difference on day scale while they are similar on minute scale. Furthermore, we propose a modified interest model that could explain why the long-range post behavior of civilian users fits power low with cut-off. Findings provide notable insights for understanding the behaviors of different “social strata” in virtual social space. | ||
| 520 | |a The human dynamics of online social networks have been studied broadly. However, few works have been done on the behavioral differentia of different categories of users. In this paper, we analyze the user characteristics and post behaviors from the aspect of “Elite”(verified users) and “Civilian”(unverified users) in Sina microblog. We find the follower number distribution of elite users does not fit power law while civilian users’ fits. We also find the civilian users need to be more diligent than elite users to maintain the same level of influence. Besides, there is a linear correlation between users’ influence and post behavior when influence is relatively low. And the inter-tweeting time distributions of the two categories of users have significant difference on day scale while they are similar on minute scale. Furthermore, we propose a modified interest model that could explain why the long-range post behavior of civilian users fits power low with cut-off. Findings provide notable insights for understanding the behaviors of different “social strata” in virtual social space. | ||
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10.1016/j.physa.2019.122974 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000826.pica (DE-627)ELV048644595 (ELSEVIER)S0378-4371(19)31683-8 DE-627 ger DE-627 rakwb eng 610 VZ 44.91 bkl Li, Kai verfasserin aut An empirical analysis on the behavioral differentia of the “Elite-Civilian” users in Sina microblog 2020transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The human dynamics of online social networks have been studied broadly. However, few works have been done on the behavioral differentia of different categories of users. In this paper, we analyze the user characteristics and post behaviors from the aspect of “Elite”(verified users) and “Civilian”(unverified users) in Sina microblog. We find the follower number distribution of elite users does not fit power law while civilian users’ fits. We also find the civilian users need to be more diligent than elite users to maintain the same level of influence. Besides, there is a linear correlation between users’ influence and post behavior when influence is relatively low. And the inter-tweeting time distributions of the two categories of users have significant difference on day scale while they are similar on minute scale. Furthermore, we propose a modified interest model that could explain why the long-range post behavior of civilian users fits power low with cut-off. Findings provide notable insights for understanding the behaviors of different “social strata” in virtual social space. The human dynamics of online social networks have been studied broadly. However, few works have been done on the behavioral differentia of different categories of users. In this paper, we analyze the user characteristics and post behaviors from the aspect of “Elite”(verified users) and “Civilian”(unverified users) in Sina microblog. We find the follower number distribution of elite users does not fit power law while civilian users’ fits. We also find the civilian users need to be more diligent than elite users to maintain the same level of influence. Besides, there is a linear correlation between users’ influence and post behavior when influence is relatively low. And the inter-tweeting time distributions of the two categories of users have significant difference on day scale while they are similar on minute scale. Furthermore, we propose a modified interest model that could explain why the long-range post behavior of civilian users fits power low with cut-off. Findings provide notable insights for understanding the behaviors of different “social strata” in virtual social space. Elite and civilian Elsevier Tweet behavior Elsevier Human dynamics Elsevier Lv, Tianyang oth Shen, Huawei oth Qiao, Lisheng oth Chen, Enhong oth Cheng, Xueqi oth Sun, Zhi oth Enthalten in North Holland Publ. Co Dai, Jiamiao ELSEVIER Effects of psychiatric disorders on ultrasound measurements and adverse perinatal outcomes in Chinese pregnant women: A ten-year retrospective cohort study 2022 europhysics journal Amsterdam (DE-627)ELV00892340X volume:539 year:2020 day:1 month:02 pages:0 https://doi.org/10.1016/j.physa.2019.122974 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.91 Psychiatrie Psychopathologie VZ AR 539 2020 1 0201 0 |
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10.1016/j.physa.2019.122974 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000826.pica (DE-627)ELV048644595 (ELSEVIER)S0378-4371(19)31683-8 DE-627 ger DE-627 rakwb eng 610 VZ 44.91 bkl Li, Kai verfasserin aut An empirical analysis on the behavioral differentia of the “Elite-Civilian” users in Sina microblog 2020transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The human dynamics of online social networks have been studied broadly. However, few works have been done on the behavioral differentia of different categories of users. In this paper, we analyze the user characteristics and post behaviors from the aspect of “Elite”(verified users) and “Civilian”(unverified users) in Sina microblog. We find the follower number distribution of elite users does not fit power law while civilian users’ fits. We also find the civilian users need to be more diligent than elite users to maintain the same level of influence. Besides, there is a linear correlation between users’ influence and post behavior when influence is relatively low. And the inter-tweeting time distributions of the two categories of users have significant difference on day scale while they are similar on minute scale. Furthermore, we propose a modified interest model that could explain why the long-range post behavior of civilian users fits power low with cut-off. Findings provide notable insights for understanding the behaviors of different “social strata” in virtual social space. The human dynamics of online social networks have been studied broadly. However, few works have been done on the behavioral differentia of different categories of users. In this paper, we analyze the user characteristics and post behaviors from the aspect of “Elite”(verified users) and “Civilian”(unverified users) in Sina microblog. We find the follower number distribution of elite users does not fit power law while civilian users’ fits. We also find the civilian users need to be more diligent than elite users to maintain the same level of influence. Besides, there is a linear correlation between users’ influence and post behavior when influence is relatively low. And the inter-tweeting time distributions of the two categories of users have significant difference on day scale while they are similar on minute scale. Furthermore, we propose a modified interest model that could explain why the long-range post behavior of civilian users fits power low with cut-off. Findings provide notable insights for understanding the behaviors of different “social strata” in virtual social space. Elite and civilian Elsevier Tweet behavior Elsevier Human dynamics Elsevier Lv, Tianyang oth Shen, Huawei oth Qiao, Lisheng oth Chen, Enhong oth Cheng, Xueqi oth Sun, Zhi oth Enthalten in North Holland Publ. Co Dai, Jiamiao ELSEVIER Effects of psychiatric disorders on ultrasound measurements and adverse perinatal outcomes in Chinese pregnant women: A ten-year retrospective cohort study 2022 europhysics journal Amsterdam (DE-627)ELV00892340X volume:539 year:2020 day:1 month:02 pages:0 https://doi.org/10.1016/j.physa.2019.122974 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.91 Psychiatrie Psychopathologie VZ AR 539 2020 1 0201 0 |
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10.1016/j.physa.2019.122974 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000826.pica (DE-627)ELV048644595 (ELSEVIER)S0378-4371(19)31683-8 DE-627 ger DE-627 rakwb eng 610 VZ 44.91 bkl Li, Kai verfasserin aut An empirical analysis on the behavioral differentia of the “Elite-Civilian” users in Sina microblog 2020transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The human dynamics of online social networks have been studied broadly. However, few works have been done on the behavioral differentia of different categories of users. In this paper, we analyze the user characteristics and post behaviors from the aspect of “Elite”(verified users) and “Civilian”(unverified users) in Sina microblog. We find the follower number distribution of elite users does not fit power law while civilian users’ fits. We also find the civilian users need to be more diligent than elite users to maintain the same level of influence. Besides, there is a linear correlation between users’ influence and post behavior when influence is relatively low. And the inter-tweeting time distributions of the two categories of users have significant difference on day scale while they are similar on minute scale. Furthermore, we propose a modified interest model that could explain why the long-range post behavior of civilian users fits power low with cut-off. Findings provide notable insights for understanding the behaviors of different “social strata” in virtual social space. The human dynamics of online social networks have been studied broadly. However, few works have been done on the behavioral differentia of different categories of users. In this paper, we analyze the user characteristics and post behaviors from the aspect of “Elite”(verified users) and “Civilian”(unverified users) in Sina microblog. We find the follower number distribution of elite users does not fit power law while civilian users’ fits. We also find the civilian users need to be more diligent than elite users to maintain the same level of influence. Besides, there is a linear correlation between users’ influence and post behavior when influence is relatively low. And the inter-tweeting time distributions of the two categories of users have significant difference on day scale while they are similar on minute scale. Furthermore, we propose a modified interest model that could explain why the long-range post behavior of civilian users fits power low with cut-off. Findings provide notable insights for understanding the behaviors of different “social strata” in virtual social space. Elite and civilian Elsevier Tweet behavior Elsevier Human dynamics Elsevier Lv, Tianyang oth Shen, Huawei oth Qiao, Lisheng oth Chen, Enhong oth Cheng, Xueqi oth Sun, Zhi oth Enthalten in North Holland Publ. Co Dai, Jiamiao ELSEVIER Effects of psychiatric disorders on ultrasound measurements and adverse perinatal outcomes in Chinese pregnant women: A ten-year retrospective cohort study 2022 europhysics journal Amsterdam (DE-627)ELV00892340X volume:539 year:2020 day:1 month:02 pages:0 https://doi.org/10.1016/j.physa.2019.122974 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.91 Psychiatrie Psychopathologie VZ AR 539 2020 1 0201 0 |
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10.1016/j.physa.2019.122974 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000826.pica (DE-627)ELV048644595 (ELSEVIER)S0378-4371(19)31683-8 DE-627 ger DE-627 rakwb eng 610 VZ 44.91 bkl Li, Kai verfasserin aut An empirical analysis on the behavioral differentia of the “Elite-Civilian” users in Sina microblog 2020transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The human dynamics of online social networks have been studied broadly. However, few works have been done on the behavioral differentia of different categories of users. In this paper, we analyze the user characteristics and post behaviors from the aspect of “Elite”(verified users) and “Civilian”(unverified users) in Sina microblog. We find the follower number distribution of elite users does not fit power law while civilian users’ fits. We also find the civilian users need to be more diligent than elite users to maintain the same level of influence. Besides, there is a linear correlation between users’ influence and post behavior when influence is relatively low. And the inter-tweeting time distributions of the two categories of users have significant difference on day scale while they are similar on minute scale. Furthermore, we propose a modified interest model that could explain why the long-range post behavior of civilian users fits power low with cut-off. Findings provide notable insights for understanding the behaviors of different “social strata” in virtual social space. The human dynamics of online social networks have been studied broadly. However, few works have been done on the behavioral differentia of different categories of users. In this paper, we analyze the user characteristics and post behaviors from the aspect of “Elite”(verified users) and “Civilian”(unverified users) in Sina microblog. We find the follower number distribution of elite users does not fit power law while civilian users’ fits. We also find the civilian users need to be more diligent than elite users to maintain the same level of influence. Besides, there is a linear correlation between users’ influence and post behavior when influence is relatively low. And the inter-tweeting time distributions of the two categories of users have significant difference on day scale while they are similar on minute scale. Furthermore, we propose a modified interest model that could explain why the long-range post behavior of civilian users fits power low with cut-off. Findings provide notable insights for understanding the behaviors of different “social strata” in virtual social space. Elite and civilian Elsevier Tweet behavior Elsevier Human dynamics Elsevier Lv, Tianyang oth Shen, Huawei oth Qiao, Lisheng oth Chen, Enhong oth Cheng, Xueqi oth Sun, Zhi oth Enthalten in North Holland Publ. Co Dai, Jiamiao ELSEVIER Effects of psychiatric disorders on ultrasound measurements and adverse perinatal outcomes in Chinese pregnant women: A ten-year retrospective cohort study 2022 europhysics journal Amsterdam (DE-627)ELV00892340X volume:539 year:2020 day:1 month:02 pages:0 https://doi.org/10.1016/j.physa.2019.122974 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.91 Psychiatrie Psychopathologie VZ AR 539 2020 1 0201 0 |
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10.1016/j.physa.2019.122974 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000826.pica (DE-627)ELV048644595 (ELSEVIER)S0378-4371(19)31683-8 DE-627 ger DE-627 rakwb eng 610 VZ 44.91 bkl Li, Kai verfasserin aut An empirical analysis on the behavioral differentia of the “Elite-Civilian” users in Sina microblog 2020transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The human dynamics of online social networks have been studied broadly. However, few works have been done on the behavioral differentia of different categories of users. In this paper, we analyze the user characteristics and post behaviors from the aspect of “Elite”(verified users) and “Civilian”(unverified users) in Sina microblog. We find the follower number distribution of elite users does not fit power law while civilian users’ fits. We also find the civilian users need to be more diligent than elite users to maintain the same level of influence. Besides, there is a linear correlation between users’ influence and post behavior when influence is relatively low. And the inter-tweeting time distributions of the two categories of users have significant difference on day scale while they are similar on minute scale. Furthermore, we propose a modified interest model that could explain why the long-range post behavior of civilian users fits power low with cut-off. Findings provide notable insights for understanding the behaviors of different “social strata” in virtual social space. The human dynamics of online social networks have been studied broadly. However, few works have been done on the behavioral differentia of different categories of users. In this paper, we analyze the user characteristics and post behaviors from the aspect of “Elite”(verified users) and “Civilian”(unverified users) in Sina microblog. We find the follower number distribution of elite users does not fit power law while civilian users’ fits. We also find the civilian users need to be more diligent than elite users to maintain the same level of influence. Besides, there is a linear correlation between users’ influence and post behavior when influence is relatively low. And the inter-tweeting time distributions of the two categories of users have significant difference on day scale while they are similar on minute scale. Furthermore, we propose a modified interest model that could explain why the long-range post behavior of civilian users fits power low with cut-off. Findings provide notable insights for understanding the behaviors of different “social strata” in virtual social space. Elite and civilian Elsevier Tweet behavior Elsevier Human dynamics Elsevier Lv, Tianyang oth Shen, Huawei oth Qiao, Lisheng oth Chen, Enhong oth Cheng, Xueqi oth Sun, Zhi oth Enthalten in North Holland Publ. Co Dai, Jiamiao ELSEVIER Effects of psychiatric disorders on ultrasound measurements and adverse perinatal outcomes in Chinese pregnant women: A ten-year retrospective cohort study 2022 europhysics journal Amsterdam (DE-627)ELV00892340X volume:539 year:2020 day:1 month:02 pages:0 https://doi.org/10.1016/j.physa.2019.122974 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.91 Psychiatrie Psychopathologie VZ AR 539 2020 1 0201 0 |
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Enthalten in Effects of psychiatric disorders on ultrasound measurements and adverse perinatal outcomes in Chinese pregnant women: A ten-year retrospective cohort study Amsterdam volume:539 year:2020 day:1 month:02 pages:0 |
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Enthalten in Effects of psychiatric disorders on ultrasound measurements and adverse perinatal outcomes in Chinese pregnant women: A ten-year retrospective cohort study Amsterdam volume:539 year:2020 day:1 month:02 pages:0 |
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Effects of psychiatric disorders on ultrasound measurements and adverse perinatal outcomes in Chinese pregnant women: A ten-year retrospective cohort study |
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Effects of psychiatric disorders on ultrasound measurements and adverse perinatal outcomes in Chinese pregnant women: A ten-year retrospective cohort study |
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an empirical analysis on the behavioral differentia of the “elite-civilian” users in sina microblog |
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An empirical analysis on the behavioral differentia of the “Elite-Civilian” users in Sina microblog |
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The human dynamics of online social networks have been studied broadly. However, few works have been done on the behavioral differentia of different categories of users. In this paper, we analyze the user characteristics and post behaviors from the aspect of “Elite”(verified users) and “Civilian”(unverified users) in Sina microblog. We find the follower number distribution of elite users does not fit power law while civilian users’ fits. We also find the civilian users need to be more diligent than elite users to maintain the same level of influence. Besides, there is a linear correlation between users’ influence and post behavior when influence is relatively low. And the inter-tweeting time distributions of the two categories of users have significant difference on day scale while they are similar on minute scale. Furthermore, we propose a modified interest model that could explain why the long-range post behavior of civilian users fits power low with cut-off. Findings provide notable insights for understanding the behaviors of different “social strata” in virtual social space. |
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The human dynamics of online social networks have been studied broadly. However, few works have been done on the behavioral differentia of different categories of users. In this paper, we analyze the user characteristics and post behaviors from the aspect of “Elite”(verified users) and “Civilian”(unverified users) in Sina microblog. We find the follower number distribution of elite users does not fit power law while civilian users’ fits. We also find the civilian users need to be more diligent than elite users to maintain the same level of influence. Besides, there is a linear correlation between users’ influence and post behavior when influence is relatively low. And the inter-tweeting time distributions of the two categories of users have significant difference on day scale while they are similar on minute scale. Furthermore, we propose a modified interest model that could explain why the long-range post behavior of civilian users fits power low with cut-off. Findings provide notable insights for understanding the behaviors of different “social strata” in virtual social space. |
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The human dynamics of online social networks have been studied broadly. However, few works have been done on the behavioral differentia of different categories of users. In this paper, we analyze the user characteristics and post behaviors from the aspect of “Elite”(verified users) and “Civilian”(unverified users) in Sina microblog. We find the follower number distribution of elite users does not fit power law while civilian users’ fits. We also find the civilian users need to be more diligent than elite users to maintain the same level of influence. Besides, there is a linear correlation between users’ influence and post behavior when influence is relatively low. And the inter-tweeting time distributions of the two categories of users have significant difference on day scale while they are similar on minute scale. Furthermore, we propose a modified interest model that could explain why the long-range post behavior of civilian users fits power low with cut-off. Findings provide notable insights for understanding the behaviors of different “social strata” in virtual social space. |
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