Online social networks / Valerio Arnaboldi [and three others].

Format:

Book

Author/Creator:

Arnaboldi, Valerio, author.

Series:

Computer science reviews and trends.

Computer Science Reviews and Trends

Language:

English

Subjects (All):

Facebook (Electronic resource).

Twitter.

Social media.

Physical Description:

1 online resource (0 p.)

Edition:

First edition.

Other Title:

Human cognitive constraints in Facebook and Twitter personal graphs

Place of Publication:

Amsterdam, [Netherlands] : Elsevier, 2015.

Language Note:

English

System Details:

text file

Summary:

Online Social Networks: Human Cognitive Constraints in Facebook and Twitter provides new insights into the structural properties of personal online social networks and the mechanisms underpinning human online social behavior. As the availability of digital communication data generated by social media is revolutionizing the field of social networks analysis, the text discusses the use of large- scale datasets to study the structural properties of online ego networks, to compare them with the properties of general human social networks, and to highlight additional properties. Users will find the data collected and conclusions drawn useful during design or research service initiatives that involve online and mobile social network environments. Provides an analysis of the structural properties of ego networks in online social networks Presents quantitative evidence of the Dunbar’s number in online environments Discusses original structural and dynamic properties of human social network through OSN analysis

Contents:

Human social networks

Tie strength and ego network structure in Facebook

The structure of ego network in Twitter

Evolutionary dynamics in Twitter ego networks

Notes:

Description based upon print version of record.

Includes bibliographical references.

Description based on online resource; title from PDF title page (ebrary, viewed December 1, 2015).

ISBN:

9780128030424

0128030429

OCLC:

926045956