Detection and delineation of events and sub-events in social networks

Antonia Saravanou; Ioannis Katakis; George Valkanas; Dimitrios Gunopulos

doi:10.1109/ICDE.2018.00147

Detection and delineation of events and sub-events in social networks

Antonia Saravanou
, Ioannis Katakis
, George Valkanas
, Dimitrios Gunopulos

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We define and solve the problem of event detection and delineation as a task of identifying events and decomposing them to their major sub-events, with a description and a timeline. We propose DeLi, an algorithm that focuses on providing such an understanding of events and sub-events. DeLi, to the best of our knowledge, is the first method that addresses the problem in a generic stream of text, and in an online fashion. Extensive evaluation on social streaming data demonstrates that, by combining the structure of a social network with content attributes, our method outperforms the state-of-The-Art techniques.

Original language	English
Title of host publication	Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1352-1355
Number of pages	4
ISBN (Electronic)	9781538655207
DOIs	https://doi.org/10.1109/ICDE.2018.00147
Publication status	Published - 24 Oct 2018
Event	34th IEEE International Conference on Data Engineering, ICDE 2018 - Paris, France Duration: 16 Apr 2018 → 19 Apr 2018

Conference

Conference	34th IEEE International Conference on Data Engineering, ICDE 2018
Country/Territory	France
City	Paris
Period	16/04/18 → 19/04/18

Keywords

Anomaly Detection
Data Mining
Event Detection
Graph Mining
Social Network Analysis
Sub Event Detection
Text Mining

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10.1109/ICDE.2018.00147

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@inproceedings{bec9578f357e46268f2b4bd3a453c688,

title = "Detection and delineation of events and sub-events in social networks",

abstract = "We define and solve the problem of event detection and delineation as a task of identifying events and decomposing them to their major sub-events, with a description and a timeline. We propose DeLi, an algorithm that focuses on providing such an understanding of events and sub-events. DeLi, to the best of our knowledge, is the first method that addresses the problem in a generic stream of text, and in an online fashion. Extensive evaluation on social streaming data demonstrates that, by combining the structure of a social network with content attributes, our method outperforms the state-of-The-Art techniques.",

keywords = "Anomaly Detection, Data Mining, Event Detection, Graph Mining, Social Network Analysis, Sub Event Detection, Text Mining",

author = "Antonia Saravanou and Ioannis Katakis and George Valkanas and Dimitrios Gunopulos",

year = "2018",

month = oct,

day = "24",

doi = "10.1109/ICDE.2018.00147",

language = "English",

pages = "1352--1355",

booktitle = "Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "34th IEEE International Conference on Data Engineering, ICDE 2018 ; Conference date: 16-04-2018 Through 19-04-2018",

}

Saravanou, A, Katakis, I, Valkanas, G & Gunopulos, D 2018, Detection and delineation of events and sub-events in social networks. in Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018., 8509368, Institute of Electrical and Electronics Engineers Inc., pp. 1352-1355, 34th IEEE International Conference on Data Engineering, ICDE 2018, Paris, France, 16/04/18. https://doi.org/10.1109/ICDE.2018.00147

Detection and delineation of events and sub-events in social networks. / Saravanou, Antonia; Katakis, Ioannis; Valkanas, George et al.
Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1352-1355 8509368.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Detection and delineation of events and sub-events in social networks

AU - Saravanou, Antonia

AU - Katakis, Ioannis

AU - Valkanas, George

AU - Gunopulos, Dimitrios

PY - 2018/10/24

Y1 - 2018/10/24

N2 - We define and solve the problem of event detection and delineation as a task of identifying events and decomposing them to their major sub-events, with a description and a timeline. We propose DeLi, an algorithm that focuses on providing such an understanding of events and sub-events. DeLi, to the best of our knowledge, is the first method that addresses the problem in a generic stream of text, and in an online fashion. Extensive evaluation on social streaming data demonstrates that, by combining the structure of a social network with content attributes, our method outperforms the state-of-The-Art techniques.

AB - We define and solve the problem of event detection and delineation as a task of identifying events and decomposing them to their major sub-events, with a description and a timeline. We propose DeLi, an algorithm that focuses on providing such an understanding of events and sub-events. DeLi, to the best of our knowledge, is the first method that addresses the problem in a generic stream of text, and in an online fashion. Extensive evaluation on social streaming data demonstrates that, by combining the structure of a social network with content attributes, our method outperforms the state-of-The-Art techniques.

KW - Anomaly Detection

KW - Data Mining

KW - Event Detection

KW - Graph Mining

KW - Social Network Analysis

KW - Sub Event Detection

KW - Text Mining

UR - https://www.scopus.com/pages/publications/85057083295

U2 - 10.1109/ICDE.2018.00147

DO - 10.1109/ICDE.2018.00147

M3 - Conference contribution

AN - SCOPUS:85057083295

SP - 1352

EP - 1355

BT - Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 34th IEEE International Conference on Data Engineering, ICDE 2018

Y2 - 16 April 2018 through 19 April 2018

ER -

Detection and delineation of events and sub-events in social networks

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Keywords

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