Introduction
❖ Backgrounds:
❖ Past research: questionnaire data
❖ This research: mobile phones record
❖ Communicating network: strength and topology
❖ Three main research
❖ Relationship between tie strength and topology
❖ Network’s stability if ties are removed
❖ Spread of information within the network
Basic Knowledge
❖ Data:
❖ 18 weeks, 20% of population
❖ Nodes: 4.6*
❖ Edges: 7*
❖ Elements:
❖ Undirected, reciprocal link
❖ Strength: aggregate duration of calls(w)
1.Relationship between strength and topology
Global efficiency Hy-pothesis
Weak ties Hypothesis Dyadic Hypothesis
Tie strength is driven by the local network struc-
ture
Tie strength is indepen-dent with network
structure
Tie strength is driven by the whole network
topology
1.Relationship between strength and topology
Relation between overlap and cumulative strength
Topological overlap
2.Network’s stability if ties are removed
Remove links with overlapRemove links with
strength
The removal of weak ties lead to a sudden, phase transition-driven collapse
The removal of the strong ties results only in the network’s gradual shrinking
3.Spread of information within network
A: Information transfer is faster on the equal network
B: Rapid diffusion within a single community
C: information transfer is through ties of intermediate strength
D: In the control group, in-fections are among weak ties
E: Communities connected by weak ties are only rarely in-fected
F: Information mainly follows the shortest paths
Conclusion
❖ 1. Tie strengths correlate with the local network structure around the tie, both the dyadic hypothesis and the global efficiency principle are unable to account for the empirical observations
❖ 2. The removal of the weak ties results in a phase transition-like network collapse
❖ 3. Information are transferred mainly by intermediate ties
❖ 4. weak ties appear to be crucial for maintaining the network’s structural integrity, but strong ties plays an important role in maintaining local communities
❖ Recommend Paper:
❖ Jacob, Barak, Eitan: Talk of the Network: A Complex Systems Look at the Underlying Process of Word-of-Mouth. Marketing Letters 12.3(Aug,2001) 211
❖ Zhang, Wu, Feng, Xiong: Information propagation in online social networks: a tie-strength perspective, knowledge and information system,32.3(sep,2012)589-608
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